Multidimensional Poverty - Technical appendices

Bạn đang xem bản rút gọn của tài liệu. Xem và tải ngay bản đầy đủ của tài liệu tại đây (894.44 KB, 131 trang )

(1)IMG. Institut de Mathématique Gauss 9 Carré F.X. Lemieux Lévis, Québec, Canada G6W 1H2 418 837 1139 Multidimensional Poverty Technical Appendices. LOUIS-MARIE ASSELIN. This document has been produced with the financial support of the MIMAP programme, IDRC, Canada..

(2) Appendix 2 Community Questionnaire and Data Dictionary.

(3)

(4)

(5)

(6)

(7)

(8)

(9)

(10)

(11)

(12)

(13)

(14)

(15)

(16)

(17)

(18)

(19)

(20)

(21)

(22)

(23)

(24)

(25)

(26)

(27)

(28) DICTIONARY OF COMMUNE QUESTIONNAIRE VLSS92-93 PRICE scr1.dta 1. section. int. %8.0g. 2. cum. int. %8.0g. 3. name. str30. %30s. 4. antro. int. %8.0g. 5. super. int. %8.0g. 6. date1. float. %9.0g. 7. date2. float. %9.0g. 8. date3. float. %9.0g. 1. section. int. %8.0g. 2. cum. int. %8.0g. 3. order. int. %8.0g. 4. observ. str30. %30s. 5. price1. float. %9.0g. 6. price2. float. %9.0g. 7. price3. float. %9.0g. 1. section. int. %8.0g. 2. cum. int. %8.0g. 3. order. int. %8.0g. 4. observ. str30. %30s. 5. price1. float. %9.0g. 6. price2. float. %9.0g. 7. price3. float. %9.0g. 1. section. int. %8.0g. 2. cum. int. %8.0g. 3. order. int. %8.0g. 4. observ. str30. %30s. 5. price1. float. %9.0g. 6. price2. float. %9.0g. 7. price3. float. %9.0g. 1. section. int. %8.0g. 2. cum. int. %8.0g. scr2.dta. scr3.dta. scr4.dta. scr5.dta. 1.

(29) 3. order. int. %8.0g. 4. observ. str30. %30s. 5. price1. float. %9.0g. 6. price2. float. %9.0g. 7. price3. float. %9.0g. 1. section. int. %8.0g. 2. cum. int. %8.0g. 3. order. int. %8.0g. 4. price1. float. %9.0g. 5. price2. float. %9.0g. 6. price3. float. %9.0g. 1. section. int. %8.0g. 2. cum. int. %8.0g. 3. name. str30. %30s. 4. date. int. %8.0g. 5. sup. int. %8.0g. 6. tim1. int. %8.0g. 7. tim2. int. %8.0g. 8. tim3. int. %8.0g. 9. tim4. int. %8.0g. 1. section. int. %8.0g. 2. cum. int. %8.0g. 3. order. str30. %30s. 4. titl. str30. %30s. 5. prof. str30. %30s. 1. section. int. %8.0g. 2. cum. int. %8.0g. 3. s1q01. int. %8.0g. 4. s1q02. int. %8.0g. 5. s1q03d. int. %8.0g. 6. s1q03m. int. %8.0g. 7. s1q03y. int. %8.0g. 8. s1q04. int. %8.0g. 9. s1q051. int. %8.0g. scr6.dta. COMMUNITY scr01.dta. scr02.dta. scr03.dta. 2.

(30) 10. s1q052. int. %8.0g. 11. s1q053. int. %8.0g. 12. s1q054. int. %8.0g. 13. s1q061. int. %8.0g. 14. s1q062. int. %8.0g. 15. s1q063. int. %8.0g. 16. s1q07. int. %8.0g. 1. section. int. %8.0g. 2. cum. int. %8.0g. 3. s1q011. int. %8.0g. 4. s1q012. int. %8.0g. 5. s1q013. int. %8.0g. 6. s1q02. int. %8.0g. 7. s1q031. int. %8.0g. 8. s1q032. int. %8.0g. scr04.dta. 9. s1q033. int. %8.0g. 10. s1q034. int. %8.0g. 11. s1q04. int. %8.0g. 12. s1q05. int. %8.0g. 13. s1q06. int. %8.0g. 14. s1q07. int. %8.0g. 15. s1q08. int. %8.0g. 16. s1q09. int. %8.0g. 17. s1q10. int. %8.0g. 18. s1q11. int. %8.0g. 19. s1q12. int. %8.0g. 20. s1q13. int. %8.0g. 1. section. int. %8.0g. 2. cum. int. %8.0g. 3. s2q14. int. %8.0g. 4. s2q15. int. %8.0g. 5. s2q16. float. %9.0g. 6. s2q17. int. %8.0g. 7. s2q18n. int. %8.0g. 8. s2q18p. float. %9.0g. 9. s2q19n. int. %8.0g. 10. s2q19p. float. %9.0g. 11. s2q20. int. %8.0g. 12. s2q21. int. %8.0g. 13. s2q22t. int. %8.0g. scr05.dta. 3.

(31) 14. s2q22u. int. %8.0g. 15. s2q23. int. %8.0g. 16. s2q24. int. %8.0g. 17. s2q25. int. %8.0g. 18. s2q26t. int. %8.0g. 19. s2q26u. int. %8.0g. 20. s2q27. int. %8.0g. 21. s2q28. int. %8.0g. 22. s2q29. int. %8.0g. 23. s2q30. int. %8.0g. 1. section. int. %8.0g. 2. cum. int. %8.0g. 3. s2q31t. int. %8.0g. 4. s2q31u. int. %8.0g. 5. s2q32a. int. %8.0g. 6. s2q32s. int. %8.0g. 7. s2q33. int. %8.0g. 8. s2q34. int. %8.0g. 9. s2q35. int. %8.0g. 10. s2q36t. int. %8.0g. 11. s2q36u. int. %8.0g. 12. s2q37a. int. %8.0g. 13. s2q37s. int. %8.0g. 1. section. int. %8.0g. 2. cum. int. %8.0g. 3. s2q38a. str30. %30s. 4. s2q38b. str30. %30s. 5. s2q38c. str30. %30s. 6. s2q39. int. %8.0g. 7. s2q40. int. %8.0g. 8. s2q41a. str30. %30s. 9. s2q41b. str30. %30s. 10. s2q41c. str30. %30s. 11. s2q42h. int. %8.0g. 12. s2q42p. int. %8.0g. 1. section. int. %8.0g. 2. cum. int. %8.0g. 3. s3q01. int. %8.0g. scr06.dta. scr07.dta. scr08.dta. 4.

(32) 4. s3q02. int. %8.0g. 5. s3q03. int. %8.0g. 6. s3q04h. int. %8.0g. 7. s3q04m. int. %8.0g. 1. section. int. %8.0g. 2. cum. int. %8.0g. 3. num. int. %8.0g. 4. s3q05. str30. %30s. 5. s3q06. int. %8.0g. 6. s3q07. int. %8.0g. 7. s3q08. int. %8.0g. 8. s3q09. int. %8.0g. 9. s3q10. int. %8.0g. 10. s3q11. int. %8.0g. 11. s3q12. int. %8.0g. 1. section. int. %8.0g. 2. cum. int. %8.0g. 3. s3q131. float. %9.0g. 4. s3q132. float. %9.0g. 5. s3q14. int. %8.0g. 6. s3q15. int. %8.0g. 7. s3q161. int. %8.0g. 8. s3q162. int. %8.0g. 9. s3q171. int. %8.0g. 10. s3q172. int. %8.0g. 11. s3q181. int. %8.0g. 12. s3q182. int. %8.0g. 13. s3q183. int. %8.0g. 14. s3q191. int. %8.0g. 15. s3q192. int. %8.0g. 16. s3q193. int. %8.0g. 1. section. int. %8.0g. 2. cum. int. %8.0g. 3. s3q20. int. %8.0g. 4. s3q21. float. %9.0g. 5. s3q22. int. %8.0g. 6. s4q23h. int. %8.0g. 7. s4q23m. int. %8.0g. scr09.dta. scr10.dta. scr11.dta. 5.

(33) 8. name. str30. %30s. 9. loca. str30. %30s. 10. s3q24. int. %8.0g. 11. s3q25. int. %8.0g. 12. s3q26. int. %8.0g. 13. s3q27. float. %9.0g. 14. s3q28. float. %9.0g. 15. s3q29. int. %8.0g. 16. s3q301. int. %8.0g. 17. s3q302. int. %8.0g. 18. s3q311. int. %8.0g. 19. s3q312. int. %8.0g. 20. s3q321. int. %8.0g. 21. s3q322. int. %8.0g. 22. s3q323. int. %8.0g. 23. s3q331. int. %8.0g. 24. s3q332. int. %8.0g. 25. s3q333. int. %8.0g. 1. section. int. %8.0g. 2. cum. int. %8.0g. 3. s3q34. int. %8.0g. 4. s3q35. float. %9.0g. 5. s3q36. int. %8.0g. 6. s4q37h. int. %8.0g. 7. s4q37m. int. %8.0g. 8. name. str30. %30s. 9. loca. str30. %30s. 10. s3q38. int. %8.0g. 11. s3q39. int. %8.0g. 12. s3q40. float. %9.0g. 13. s3q41. int. %8.0g. 14. s3q42. int. %8.0g. 15. s3q431. int. %8.0g. 16. s3q432. int. %8.0g. 17. s3q441. int. %8.0g. 18. s3q442. int. %8.0g. 19. s3q451. int. %8.0g. 20. s3q452. int. %8.0g. 21. s3q453. int. %8.0g. int. %8.0g. scr12.dta. scr13.dta 1. section. 6.

(34) 2. cum. int. %8.0g. 3. s3q46. int. %8.0g. 4. s3q47. int. %8.0g. 5. s3q48. int. %8.0g. 6. s3q49. int. %8.0g. 7. s3q50t. int. %8.0g. 8. s3q50m. int. %8.0g. 9. s3q50w. int. %8.0g. 1. section. int. %8.0g. 2. cum. int. %8.0g. 3. item. str1. %9s. 4. s4q01. int. %8.0g. 5. s4q02. float. %9.0g. 6. s4q03. str30. %30s. 7. s4q04h. int. %8.0g. 8. s4q04m. int. %8.0g. 9. s4q05. int. %8.0g. 1. section. int. %8.0g. 2. cum. int. %8.0g. 3. s4q006. int. %8.0g. 4. spec. str30. %30s. 5. s4q071. int. %8.0g. 6. s4q072. int. %8.0g. 7. s4q073. int. %8.0g. 8. s4q081. int. %8.0g. scr14.dta. scr15.dta. 9. s4q082. int. %8.0g. 10. s4q083. int. %8.0g. 11. s4q09. int. %8.0g. 12. s4q10. int. %8.0g. 13. s4q11. int. %8.0g. 14. s4q12. int. %8.0g. 15. s4q13. int. %8.0g. 16. s4q14. int. %8.0g. 17. s4q15. int. %8.0g. 1. section. int. %8.0g. 2. cum. int. %8.0g. 3. crop. int. %8.0g. 4. s5q02. int. %8.0g. scr16.dta. 7.

(35) 5. s5q031. int. %8.0g. 6. s5q032. int. %8.0g. 7. s5q033. int. %8.0g. 8. s5q034. int. %8.0g. 9. s5q035. int. %8.0g. 10. s5q036. int. %8.0g. 11. s5q041. int. %8.0g. 12. s5q042. int. %8.0g. 13. s5q043. int. %8.0g. 1. section. int. %8.0g. 2. cum. int. %8.0g. 3. s5q05a. int. %8.0g. 4. s5q05b. float. %9.0g. 5. s5q05c. float. %9.0g. 6. s5q05d. float. %9.0g. 7. s5q05e. float. %9.0g. 8. s5q05f. float. %9.0g. 1. section. int. %8.0g. 2. cum. int. %8.0g. 3. s5q06a. int. %8.0g. 4. s5q076. float. %9.0g. 1. section. int. %8.0g. 2. cum. int. %8.0g. 3. s5q07a. int. %8.0g. 4. s5q07b. float. %9.0g. 1. section. int. %8.0g. 2. cum. int. %8.0g. 3. ln. int. %8.0g. 4. s5q08a. int. %8.0g. 5. s5q08b. float. %9.0g. 6. s5q08c. float. %9.0g. 7. s5q08d. float. %9.0g. 1. section. int. %8.0g. 2. cum. int. %8.0g. scr17.dta. scr18.dta. scr19.dta. scr20.dta. scr21.dta. 8.

(36) 3. s5q09a. str1. %9s. 4. s5q09b. str1. %9s. 5. s5q09c. str1. %9s. 6. s5q09d. str1. %9s. 7. s5q09e. str1. %9s. 8. s5q09f. str1. %9s. 9. s5q09g. str1. %9s. 10. s5q09h. str1. %9s. 11. s5q09i. str1. %9s. 12. s5q10. int. %8.0g. 1. section. int. %8.0g. 2. cum. int. %8.0g. 3. s5q11. int. %8.0g. 4. s5q12. float. %9.0g. 5. s5q13. int. %8.0g. 6. s5q141. int. %8.0g. 7. s5q142. int. %8.0g. 8. s5q143. int. %8.0g. 9. s5q15. int. %8.0g. 10. s5q16. int. %8.0g. 11. s5q17. int. %8.0g. 12. s5q18. int. %8.0g. 13. s5q19. int. %8.0g. 14. s5q20. int. %8.0g. 15. s5q21. int. %8.0g. 16. s5q22m1. int. %8.0g. 17. s5q22m2. int. %8.0g. 18. s5q22m3. int. %8.0g. 19. s5q22m4. int. %8.0g. 20. s5q22w1. int. %8.0g. 21. s5q22w2. int. %8.0g. 22. s5q22w3. int. %8.0g. 23. s5q22w4. int. %8.0g. 24. s5q22c1. int. %8.0g. 25. s5q22c2. int. %8.0g. 26. s5q22c3. int. %8.0g. 27. s5q22c4. int. %8.0g. 1. section. int. %8.0g. 2. cum. int. %8.0g. 3. s5q23. int. %8.0g. scr22.dta. scr23.dta. 9.

(37) 4. s5q23m. int. %8.0g. 5. s5q23w. int. %8.0g. 6. s5q23c. int. %8.0g. 7. s5q25. int. %8.0g. 8. s5q261. int. %8.0g. 9. s5q262. int. %8.0g. 10. s5q263. int. %8.0g. 11. s5q27. int. %8.0g. 12. s5q28. int. %8.0g. 10.

(38) Appendix 3 Data Exploration with Multiple Correspondence Analysis.

(39) VLSS-1 Communes Data Exploration 39 variables 111 categories. Homals Credit. HOMALS Version 1.0 by Data Theory Scaling System Group (DTSS) Faculty of Social and Behavioral Sciences Leiden University, The Netherlands Case Processing Summary Cases Used in Analysis. 120. Marginal Frequencies C-Is there an agric coop in the community?. AgricY AgricN Missing. Marginal Frequency 77 43 0. C-Where most of women give birth?. home hos,cli other Missing. Marginal Frequency 35 80 5 0. C-Clinic in community. clinYes clinNO Missing. Marginal Frequency 37 83 0. L.-M. Asselin 02-10-30 Appendix 3 page 1 D:\CF Gauss projets\Formation SISERA Dakar nov 2002\Volume 2\Homals VLSS1-COMMUNES-explo.spo.

(40) VLSS-1 Communes Data Exploration 39 variables 111 categories C-Doctor in community. Doctor-Y Doctor-N Missing. Marginal Frequency 50 70 0. C-Distance kms to hospital. d<=3k d3-10k d>10k Missing. Marginal Frequency 23 49 47 1. C-Do hlds have electricity?. C-None C-A few C-Most Missing. Marginal Frequency 15 50 55 0. C-large enterprise < 10 kms. entYES entNO Missing. Marginal Frequency 55 65 0. C-Is there an agric ext center in the community?. ExtY ExtN Missing. Marginal Frequency 31 89 0. C-food shop. foodsYES foodsNO Missing. Marginal Frequency 52 68 0. L.-M. Asselin 02-10-30 Appendix 3 page 2 D:\CF Gauss projets\Formation SISERA Dakar nov 2002\Volume 2\Homals VLSS1-COMMUNES-explo.spo.

(41) VLSS-1 Communes Data Exploration 39 variables 111 categories C-Proportion of land quality 1. Land1=0 Land1<25 Land1>25 Missing. Marginal Frequency 57 41 22 0. C-Proportion of land quality 2. Land2=0 land2<25 Land2>25 Missing. Marginal Frequency 40 55 25 0. C-Proportion of land quality 3. Land3=0 land3<25 Land3>25 Missing. Marginal Frequency 28 61 31 0. C-Proportion of land quality 4. Land4=0 land4<25 Land4>25 Missing. Marginal Frequency 23 72 25 0. C-Proportion of land quality 5. Land5=0 land5<25 Land5>25 Missing. Marginal Frequency 24 70 26 0. L.-M. Asselin 02-10-30 Appendix 3 page 3 D:\CF Gauss projets\Formation SISERA Dakar nov 2002\Volume 2\Homals VLSS1-COMMUNES-explo.spo.

(42) VLSS-1 Communes Data Exploration 39 variables 111 categories C-Proportion of land quality 6. Land6=0 land6<25 Land6>25 Missing. Marginal Frequency 34 69 17 0. C-Proportion of land quality 7. Land7=0 land7<25 Land7>25 Missing. Marginal Frequency 53 51 16 0. C-loud speaker. speakYES speakNO Missing. Marginal Frequency 64 56 0. C-Fees at lower secondary school. fLS<25 fLS25-50 fLS50+ Missing. Marginal Frequency 28 48 43 1. C-market. no mark periodic daily Missing. Marginal Frequency 40 16 64 0. L.-M. Asselin 02-10-30 Appendix 3 page 4 D:\CF Gauss projets\Formation SISERA Dakar nov 2002\Volume 2\Homals VLSS1-COMMUNES-explo.spo.

(43) VLSS-1 Communes Data Exploration 39 variables 111 categories C-First reason not attending prim sch. too far too exp illness parents other Missing. Marginal Frequency 19 51 21 17 12 0. C-First reason not attend sec school. too far too exp not able parents other Missing. Marginal Frequency 10 62 26 11 11 0. C-Pharmacist in community. phcistY phcistN Missing. Marginal Frequency 65 55 0. C-Pharmacy in community. Pharm-Y Pharm-N Missing. Marginal Frequency 85 35 0. C-post office. postYES postNO Missing. Marginal Frequency 41 79 0. L.-M. Asselin 02-10-30 Appendix 3 page 5 D:\CF Gauss projets\Formation SISERA Dakar nov 2002\Volume 2\Homals VLSS1-COMMUNES-explo.spo.

(44) VLSS-1 Communes Data Exploration 39 variables 111 categories C-Study fees at grade 1-3 (000 dongs). fee<10 fee>=10 Missing. Marginal Frequency 58 62 0. C-Study fees at grade 4-5 (000 dongs). fee<10 fee>=10 Missing. Marginal Frequency 54 66 0. C-Primary enrolment rate. primr80 primr90 prir100 Missing. Marginal Frequency 22 15 83 0. C-Major health service prob in commun.. lackfaci lackmedi quality sanitary other Missing. Marginal Frequency 71 8 15 11 15 0. C-Major health problem in community. Malaria malnutri Respirat other Missing. Marginal Frequency 31 51 24 14 0. L.-M. Asselin 02-10-30 Appendix 3 page 6 D:\CF Gauss projets\Formation SISERA Dakar nov 2002\Volume 2\Homals VLSS1-COMMUNES-explo.spo.

(45) VLSS-1 Communes Data Exploration 39 variables 111 categories C-Major problem primary school-rec. Poor mat Living S Budget Quality Missing. Marginal Frequency 76 32 10 2 0. C-Major problem lower second school. poor mat living s other Missing. Marginal Frequency 63 35 18 4. C-Distance public transportation. pubt0k pubt3k pubt10k pubt11k+ Missing. Marginal Frequency 62 15 28 15 0. C-Road passes by the community. roadYES rosdNO Missing. Marginal Frequency 103 17 0. C-Enrol.rate at lower secondary school. s<=35 s35-70 s>70 Missing. Marginal Frequency 31 35 54 0. L.-M. Asselin 02-10-30 Appendix 3 page 7 D:\CF Gauss projets\Formation SISERA Dakar nov 2002\Volume 2\Homals VLSS1-COMMUNES-explo.spo.

(46) VLSS-1 Communes Data Exploration 39 variables 111 categories C-Is there a lower secondary school?. secs nosecs Missing. Marginal Frequency 106 14 0. C-Traditional healer in community. tradheY tradheN Missing. Marginal Frequency 77 43 0. C-Traditional midwife in community. tradmidY tradmidN Missing. Marginal Frequency 87 33 0. C-Trained midwife in community. traimidY traimidN Missing. Marginal Frequency 101 19 0. C-Source of drinking water. rain drilled dug well river other Missing. Marginal Frequency 4 2 79 30 5 0. L.-M. Asselin 02-10-30 Appendix 3 page 8 D:\CF Gauss projets\Formation SISERA Dakar nov 2002\Volume 2\Homals VLSS1-COMMUNES-explo.spo.

(47) VLSS-1 Communes Data Exploration 39 variables 111 categories Iteration History. Iteration 16a. Fit ,308254. Difference from the Previous Iteration ,000007. a. The iteration was terminated because convergence criteria are satisified. Eigenvalues Dimension 1 2. Eigenvalue ,186 ,122 Discrimination Measures Dimension 1. C-Is there an agric coop in the community? C-Where most of women give birth? C-Clinic in community C-Doctor in community C-Distance kms to hospital C-Do hlds have electricity? C-large enterprise < 10 kms C-Is there an agric ext center in the community? C-food shop C-Proportion of land quality 1 C-Proportion of land quality 2 C-Proportion of land quality 3 C-Proportion of land quality 4 C-Proportion of land quality 5 C-Proportion of land quality 6 C-Proportion of land quality 7 C-loud speaker C-Fees at lower secondary school. 2 ,115. ,375. ,337. ,111. ,005 ,252. ,259 ,133. ,209. ,177. ,514. ,154. ,254. ,044. ,206. ,004. ,132. ,221. ,492. ,121. ,371. ,244. ,107. ,178. ,016. ,178. ,176. ,175. ,167. ,243. ,123. ,096. ,315. ,095. ,081. ,072. L.-M. Asselin 02-10-30 Appendix 3 page 9 D:\CF Gauss projets\Formation SISERA Dakar nov 2002\Volume 2\Homals VLSS1-COMMUNES-explo.spo.

(48) VLSS-1 Communes Data Exploration 39 variables 111 categories Discrimination Measures Dimension 1 C-market C-First reason not attending prim sch C-First reason not attend sec school C-Pharmacist in community C-Pharmacy in community C-post office C-Study fees at grade 1-3 (000 dongs) C-Study fees at grade 4-5 (000 dongs) C-Primary enrolment rate C-Major health service prob in commun. C-Major health problem in community C-Major problem primary school-rec C-Major problem lower second school C-Distance public transportation C-Road passes by the community C-Enrol.rate at lower secondary school C-Is there a lower secondary school? C-Traditional healer in community C-Traditional midwife in community C-Trained midwife in community C-Source of drinking water. 2 ,194. ,171. ,388. ,133. ,289. ,081. ,138. ,019. ,262. ,095. ,079. ,193. ,021. ,096. ,021. ,079. ,348. ,136. ,070. ,021. ,299. ,077. ,219. ,138. ,278. ,083. ,175. ,164. ,106. ,046. ,287. ,072. ,030. ,002. ,018. ,094. ,069. ,015. ,009. ,001. ,078. ,178. L.-M. Asselin 02-10-30 Appendix 3 page 10 D:\CF Gauss projets\Formation SISERA Dakar nov 2002\Volume 2\Homals VLSS1-COMMUNES-explo.spo.

(49) VLSS-1 Communes Data Exploration 39 variables 111 categories. Discrimination Measures ,4. C-Is there a. ,3 C-Clinic in. Dimension 2. C-Proportion C-Proportion C-food shop C-post offic ,2 C-Source C-Proportion C-Proportion of C-Distance k C-Proportion C-market C-Distance p C-Do hlds ha C-Major probC-Primary C-Doctor in C-Firstenreas C-Where most C-Proportion C-Study fees C-Proportion C-Pharmacy C-loud speak i C-Traditiona C-Major prob C-First reas ,1 C-Fees C-Study fees at lo C-Major heal C-Enrol.rate C-Road passe C-large ente C-Major heal C-Pharmacist C-Traditiona C-Is there a C-Is there C-Trained mi a 0,0. -,1 0,0. ,1. ,2. ,3. ,4. ,5. ,6. Dimension 1. Quantifications C-Is there an agric coop in the community?. AgricY AgricN Missing. Marginal Frequency 77 43 0. Category Quantifications Dimension 1 2 -,252 ,458 ,455 -,819. C-Where most of women give birth?. home hos,cli other Missing. Marginal Frequency 35 80 5 0. Category Quantifications Dimension 1 2 ,902 ,008 -,385 ,096 -,125 -1,589. L.-M. Asselin 02-10-30 Appendix 3 page 11 D:\CF Gauss projets\Formation SISERA Dakar nov 2002\Volume 2\Homals VLSS1-COMMUNES-explo.spo.

(50) VLSS-1 Communes Data Exploration 39 variables 111 categories C-Clinic in community. clinYes clinNO Missing. Marginal Frequency 37 83 0. Category Quantifications Dimension 1 2 -,109 -,763 ,050 ,340. C-Doctor in community. Doctor-Y Doctor-N Missing. Marginal Frequency 50 70 0. Category Quantifications Dimension 1 2 -,593 -,432 ,426 ,309. C-Distance kms to hospital. d<=3k d3-10k d>10k Missing. Marginal Frequency 23 49 47 1. Category Quantifications Dimension 1 2 -,669 -,705 -,153 ,438 ,539 -,091. C-Do hlds have electricity?. C-None C-A few C-Most Missing. Marginal Frequency 15 50 55 0. Category Quantifications Dimension 1 2 1,007 ,277 ,539 -,464 -,761 ,346. L.-M. Asselin 02-10-30 Appendix 3 page 12 D:\CF Gauss projets\Formation SISERA Dakar nov 2002\Volume 2\Homals VLSS1-COMMUNES-explo.spo.

(51) VLSS-1 Communes Data Exploration 39 variables 111 categories C-large enterprise < 10 kms. Marginal Frequency 55 65 0. entYES entNO Missing. Category Quantifications Dimension 1 2 -,546 -,228 ,465 ,193. C-Is there an agric ext center in the community?. Marginal Frequency 31 89 0. ExtY ExtN Missing. Category Quantifications Dimension 1 2 -,768 -,109 ,269 ,038. C-food shop. foodsYES foodsNO Missing. Marginal Frequency 52 68 0. Category Quantifications Dimension 1 2 -,414 -,537 ,319 ,411. C-Proportion of land quality 1. Land1=0 Land1<25 Land1>25 Missing. Marginal Frequency 57 41 22 0. Category Quantifications Dimension 1 2 ,683 -,261 -,346 ,483 -1,117 -,224. L.-M. Asselin 02-10-30 Appendix 3 page 13 D:\CF Gauss projets\Formation SISERA Dakar nov 2002\Volume 2\Homals VLSS1-COMMUNES-explo.spo.

(52) VLSS-1 Communes Data Exploration 39 variables 111 categories C-Proportion of land quality 2. Land2=0 land2<25 Land2>25 Missing. Marginal Frequency 40 55 25 0. Category Quantifications Dimension 1 2 ,783 -,632 -,180 ,490 -,852 -,067. C-Proportion of land quality 3. Land3=0 land3<25 Land3>25 Missing. Marginal Frequency 28 61 31 0. Category Quantifications Dimension 1 2 ,593 -,757 -,191 ,277 -,154 ,140. C-Proportion of land quality 4. Land4=0 land4<25 Land4>25 Missing. Marginal Frequency 23 72 25 0. Category Quantifications Dimension 1 2 ,122 -,857 -,101 ,161 ,184 ,324. C-Proportion of land quality 5. Land5=0 land5<25 Land5>25 Missing. Marginal Frequency 24 70 26 0. Category Quantifications Dimension 1 2 -,638 -,570 -,024 ,351 ,660 -,420. L.-M. Asselin 02-10-30 Appendix 3 page 14 D:\CF Gauss projets\Formation SISERA Dakar nov 2002\Volume 2\Homals VLSS1-COMMUNES-explo.spo.

(53) VLSS-1 Communes Data Exploration 39 variables 111 categories C-Proportion of land quality 6. Land6=0 land6<25 Land6>25 Missing. Marginal Frequency 34 69 17 0. Category Quantifications Dimension 1 2 -,600 -,487 ,149 ,419 ,604 -,726. C-Proportion of land quality 7. Land7=0 land7<25 Land7>25 Missing. Marginal Frequency 53 51 16 0. Category Quantifications Dimension 1 2 -,188 -,309 -,079 ,352 ,884 -,100. C-loud speaker. speakYES speakNO Missing. Marginal Frequency 64 56 0. Category Quantifications Dimension 1 2 -,524 -,288 ,601 ,330. C-Fees at lower secondary school. fLS<25 fLS25-50 fLS50+ Missing. Marginal Frequency 28 48 43 1. Category Quantifications Dimension 1 2 ,296 ,078 ,135 ,263 -,384 -,347. L.-M. Asselin 02-10-30 Appendix 3 page 15 D:\CF Gauss projets\Formation SISERA Dakar nov 2002\Volume 2\Homals VLSS1-COMMUNES-explo.spo.

(54) VLSS-1 Communes Data Exploration 39 variables 111 categories C-market. no mark periodic daily Missing. Marginal Frequency 40 16 64 0. Category Quantifications Dimension 1 2 ,471 ,462 ,476 ,390 -,410 -,386. C-First reason not attending prim sch. too far too exp illness parents other Missing. Marginal Frequency 19 51 21 17 12 0. Category Quantifications Dimension 1 2 ,919 -,310 ,064 -,274 -1,172 ,291 ,285 ,250 -,066 ,791. C-First reason not attend sec school. too far too exp not able parents other Missing. Marginal Frequency 10 62 26 11 11 0. Category Quantifications Dimension 1 2 1,049 -,504 ,254 -,172 -,856 ,384 -,191 ,251 -,156 ,271. C-Pharmacist in community. phcistY phcistN Missing. Marginal Frequency 65 55 0. Category Quantifications Dimension 1 2 -,340 -,126 ,405 ,149. L.-M. Asselin 02-10-30 Appendix 3 page 16 D:\CF Gauss projets\Formation SISERA Dakar nov 2002\Volume 2\Homals VLSS1-COMMUNES-explo.spo.

(55) VLSS-1 Communes Data Exploration 39 variables 111 categories C-Pharmacy in community. Pharm-Y Pharm-N Missing. Marginal Frequency 85 35 0. Category Quantifications Dimension 1 2 -,327 -,197 ,798 ,479. C-post office. postYES postNO Missing. Marginal Frequency 41 79 0. Category Quantifications Dimension 1 2 -,390 -,610 ,204 ,317. C-Study fees at grade 1-3 (000 dongs). fee<10 fee>=10 Missing. Marginal Frequency 58 62 0. Category Quantifications Dimension 1 2 ,152 ,321 -,140 -,300. C-Study fees at grade 4-5 (000 dongs). fee<10 fee>=10 Missing. Marginal Frequency 54 66 0. Category Quantifications Dimension 1 2 ,162 ,310 -,130 -,254. L.-M. Asselin 02-10-30 Appendix 3 page 17 D:\CF Gauss projets\Formation SISERA Dakar nov 2002\Volume 2\Homals VLSS1-COMMUNES-explo.spo.

(56) VLSS-1 Communes Data Exploration 39 variables 111 categories C-Primary enrolment rate. primr80 primr90 prir100 Missing. Marginal Frequency 22 15 83 0. Category Quantifications Dimension 1 2 1,132 -,590 ,390 -,494 -,368 ,246. C-Major health service prob in commun.. lackfaci lackmedi quality sanitary other Missing. Marginal Frequency 71 8 15 11 15 0. Category Quantifications Dimension 1 2 -,016 ,053 ,867 -,274 -,014 -,183 -,459 ,294 -,024 -,140. C-Major health problem in community. Malaria malnutri Respirat other Missing. Marginal Frequency 31 51 24 14 0. Category Quantifications Dimension 1 2 ,799 -,278 -,385 ,303 -,479 -,301 ,465 ,026. C-Major problem primary school-rec. Poor mat Living S Budget Quality Missing. Marginal Frequency 76 32 10 2 0. Category Quantifications Dimension 1 2 ,348 ,176 -,553 -,558 -,582 ,581 -1,401 -,667. L.-M. Asselin 02-10-30 Appendix 3 page 18 D:\CF Gauss projets\Formation SISERA Dakar nov 2002\Volume 2\Homals VLSS1-COMMUNES-explo.spo.

(57) VLSS-1 Communes Data Exploration 39 variables 111 categories C-Major problem lower second school. poor mat living s other Missing. Marginal Frequency 63 35 18 4. Category Quantifications Dimension 1 2 ,406 ,056 -,789 -,390 -,258 ,498. C-Distance public transportation. pubt0k pubt3k pubt10k pubt11k+ Missing. Marginal Frequency 62 15 28 15 0. Category Quantifications Dimension 1 2 -,246 -,304 -,428 ,844 ,303 -,029 ,892 ,468. C-Road passes by the community. roadYES rosdNO Missing. Marginal Frequency 103 17 0. Category Quantifications Dimension 1 2 -,131 ,087 ,802 -,526. C-Enrol.rate at lower secondary school. s<=35 s35-70 s>70 Missing. Marginal Frequency 31 35 54 0. Category Quantifications Dimension 1 2 ,836 -,274 ,017 -,212 -,488 ,295. L.-M. Asselin 02-10-30 Appendix 3 page 19 D:\CF Gauss projets\Formation SISERA Dakar nov 2002\Volume 2\Homals VLSS1-COMMUNES-explo.spo.

(58) VLSS-1 Communes Data Exploration 39 variables 111 categories C-Is there a lower secondary school?. secs nosecs Missing. Marginal Frequency 106 14 0. Category Quantifications Dimension 1 2 -,062 ,018 ,478 -,133. C-Traditional healer in community. tradheY tradheN Missing. Marginal Frequency 77 43 0. Category Quantifications Dimension 1 2 -,100 -,229 ,183 ,410. C-Traditional midwife in community. tradmidY tradmidN Missing. Marginal Frequency 87 33 0. Category Quantifications Dimension 1 2 ,163 -,075 -,424 ,199. C-Trained midwife in community. traimidY traimidN Missing. Marginal Frequency 101 19 0. Category Quantifications Dimension 1 2 -,041 -,010 ,226 ,052. L.-M. Asselin 02-10-30 Appendix 3 page 20 D:\CF Gauss projets\Formation SISERA Dakar nov 2002\Volume 2\Homals VLSS1-COMMUNES-explo.spo.

(59) VLSS-1 Communes Data Exploration 39 variables 111 categories C-Source of drinking water. Marginal Frequency 4 2 79 30 5 0. rain drilled dug well river other Missing. Category Quantifications Dimension 1 2 -,102 -,467 ,414 ,306 -,166 ,291 ,269 -,607 ,959 -,710. 10 kms. Quantifications. C-Do hlds have elect ricity?. 1,0. Dimension 2. pubt3kother Budget other land2<25 Land1<25 Pharm-N pubt11k+ no mark d3-10k land6<25 tradheN foodsNO periodic not able AgricY ,5 illness land7<25 land5<25 C-Most clinNO speakNO Land4>25 fee<10 postNO Doctor-N drilled malnutri sanitary s>70 dug well C-None land3<25 other fLS25-50 parents parents prir100 tradmidN entNO Poor mat land4<25 phcistN Land3>25 hos,cli roadYES fLS<25 poor mathome lackfaci traimidN ExtN other secs traimidY pubt10k Land2>25 tradmidY d>10k Land7>25 ExtY phcistY nosecs other 0,0 too exp quality Pharm-Y s35-70 Land1>25 entYES tradheY fee>=10 lackmedi too exp Land1=0 s<=35 Malaria speakYES fee>=10 Respirat pubt0k Land7=0 too far fLS50+ living sdaily rain Land5>25 Doctor-Y C-A few Land6=0 primr90 too far rosdNO foodsYES Living S primr80 river Land2=0 postYES -,5Quality Land5=0 d<=3k clinYes Land6>25 other Land3=0 AgricN Land4=0. C-Distance kms to ho spital C-Doctor in communit y C-Clinic in communit y. -1,0. C-Where most of wome n give birth?. other. -1,5. C-Is there an agric -2,0 -1,5. coop in the communit -1,0. -,5. 0,0. ,5. 1,0. 1,5. Dimension 1. Object Scores. 1 2 3 4 5 6 7 8 9. Dimension 1 2 2,110 -,288 1,055 ,824 ,796 -2,063 1,037 ,433 ,930 ,592 1,249 ,832 1,548 ,600 1,230 ,244 -,245 -,046. L.-M. Asselin 02-10-30 Appendix 3 page 21 D:\CF Gauss projets\Formation SISERA Dakar nov 2002\Volume 2\Homals VLSS1-COMMUNES-explo.spo.

(60) VLSS-1 Communes Data Exploration 39 variables 111 categories Object Scores. 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54. Dimension 1 -,103 1,182 1,252 1,033 ,250 1,681 -,553 -,896 ,166 -1,690 -1,305 -1,350 -,702 1,364 ,282 ,319 -,162 -,167 ,409 -,405 ,353 -,123 -2,283 -1,398 -1,824 -1,204 -1,341 -1,460 -1,779 -1,172 -1,598 -,927 -1,788 -1,499 -,997 -,598 ,019 -,822 -,774 -,772 ,686 -1,579 -,906 -,759 ,790. 2 1,598 ,469 ,116 -,133 1,087 ,061 -,355 ,776 -,108 -,662 ,045 -,955 ,835 ,889 1,695 1,344 1,489 1,905 ,867 ,223 ,845 ,728 -,949 -,299 -,513 1,270 -,002 -,430 ,098 -,180 ,494 ,897 -,198 -,346 ,441 1,166 1,402 1,003 ,893 1,204 ,627 -,196 1,241 ,419 1,496. L.-M. Asselin 02-10-30 Appendix 3 page 22 D:\CF Gauss projets\Formation SISERA Dakar nov 2002\Volume 2\Homals VLSS1-COMMUNES-explo.spo.

(61) VLSS-1 Communes Data Exploration 39 variables 111 categories Object Scores Dimension 1 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99. ,090 ,053 -1,310 -,265 -,233 ,112 -,112 1,563 ,175 ,884 ,548 ,319 ,939 -,418 2,113 -,234 -1,696 ,549 1,494 -1,120 1,963 -,529 -,199 -,282 -,995 ,281 -1,027 -,938 -,175 ,980 1,197 -,043 ,877 ,402 ,083 ,984 -,909 1,184 -1,109 ,303 -,451 ,934 ,619 -,745 -,711. 2 1,567 1,327 -,285 1,770 ,981 1,159 ,755 -,230 1,569 -,083 ,573 ,487 1,336 ,988 ,679 ,749 -1,178 ,021 -1,053 ,388 ,138 1,291 ,849 ,821 -,179 -,388 -1,068 ,502 -,362 ,066 -,732 -2,081 ,731 -,965 -,348 -1,411 -,770 -1,907 -,960 -,567 -,707 -,811 -1,794 -1,615 -1,257. L.-M. Asselin 02-10-30 Appendix 3 page 23 D:\CF Gauss projets\Formation SISERA Dakar nov 2002\Volume 2\Homals VLSS1-COMMUNES-explo.spo.

(62) VLSS-1 Communes Data Exploration 39 variables 111 categories Object Scores. 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120. Dimension 1 2 -,419 -1,509 ,306 -1,487 ,042 -1,663 -,521 -,764 ,059 -1,070 ,421 -1,060 ,815 -,857 -,227 -,730 ,141 ,584 -,905 -1,378 ,345 -1,580 -,331 -1,882 1,445 ,045 1,602 -,514 -,519 -,385 -,191 -2,209 ,519 -1,659 1,427 -,553 1,338 -,686 1,397 -1,243 1,724 -,816. L.-M. Asselin 02-10-30 Appendix 3 page 24 D:\CF Gauss projets\Formation SISERA Dakar nov 2002\Volume 2\Homals VLSS1-COMMUNES-explo.spo.

(63) VLSS-1 Communes Data Exploration 39 variables 111 categories VARNAME_: C_AGRCOO C-Is there an agric coop in the communit ,6 AgricY ,4 ,2 ,0 -,2 -,4. DIM2. -,6 AgricN. -,8 -1,0 -,3. -,2. -,1. -,0. ,1. ,2. ,3. ,4. ,5. DIM1. VARNAME_: C_BIRTH. C-Where most of women give birth?. ,5 hos,cli. home. 0,0. -,5. -1,0. other. DIM2. -1,5. -2,0 -,4. -,2. 0,0. ,2. ,4. ,6. ,8. 1,0. DIM1. VARNAME_: C_CLINIC C-Clinic in community ,4. clinNO. ,2. 0,0. -,2. -,4. DIM2. -,6 clinYes -,8 -,2. -,1. 0,0. ,1. DIM1. VARNAME_: C_DOCTOR C-Doctor in community ,4 Doctor-N. ,2. -,0. -,2. Doctor-Y. DIM2. -,4. -,6 -,8. -,6. -,4. -,2. 0,0. ,2. ,4. ,6. DIM1. L.-M. Asselin 02-11-04 Appendix 3 page 25 D:\Bureau de Québec\Projets\MIMAP-Vietnam-3\Report\INDEXCOM03-Graph_1.spo.

(64) VLSS-1 Communes Data Exploration 39 variables 111 categories VARNAME_: C_DSTHOS C-Distance kms to hospital ,6 d3-10k ,4 ,2 0,0. d>10k. -,2. DIM2. -,4 -,6. d<=3k. -,8 -,8. -,6. -,4. -,2. 0,0. ,2. ,4. ,6. DIM1. VARNAME_: C_ELEC ,4. C-Do hlds have electricity?. C-Most C-None. ,2. -,0. -,2. DIM2. -,4. C-A few. -,6 -1,0. -,5. 0,0. ,5. 1,0. 1,5. DIM1. VARNAME_: C_ENTERP C-large enterprise < 10 kms ,3 entNO. ,2. ,1. -,0. -,1. DIM2. -,2 entYES -,3 -,6. -,4. -,2. -,0. ,2. ,4. ,6. DIM1. VARNAME_: C_EXTCEN C-Is there an agric ext center in the co ,06 ExtN. ,04 ,02 0,00 -,02 -,04 -,06. DIM2. -,08 -,10 ExtY -,12 -,8. -,6. -,4. -,2. 0,0. ,2. ,4. DIM1. L.-M. Asselin 02-11-04 Appendix 3 page 26 D:\Bureau de Québec\Projets\MIMAP-Vietnam-3\Report\INDEXCOM03-Graph_1.spo.

(65) VLSS-1 Communes Data Exploration 39 variables 111 categories VARNAME_: C_FOODSH C-food shop ,6 foodsNO ,4. ,2. -,0. -,2. DIM2. -,4 foodsYES -,6 -,6. -,4. -,2. -,0. ,2. ,4. DIM1. VARNAME_: C_LAND1. C-Proportion of land quality 1. ,6 Land1<25 ,4. ,2. 0,0. Land1>25. DIM2. -,2. -,4 -1,5. Land1=0. -1,0. -,5. 0,0. ,5. 1,0. DIM1. VARNAME_: C_LAND2 ,6. C-Proportion of land quality 2. land2<25. ,4 ,2 0,0 Land2>25 -,2. DIM2. -,4 Land2=0. -,6 -,8 -1,0. -,5. 0,0. ,5. 1,0. DIM1. VARNAME_: C_LAND3. C-Proportion of land quality 3. ,4 land3<25 ,2. Land3>25. 0,0. -,2. -,4. DIM2. -,6 Land3=0 -,8 -,4. -,2. 0,0. ,2. ,4. ,6. ,8. DIM1. L.-M. Asselin 02-11-04 Appendix 3 page 27 D:\Bureau de Québec\Projets\MIMAP-Vietnam-3\Report\INDEXCOM03-Graph_1.spo.

(66) VLSS-1 Communes Data Exploration 39 variables 111 categories VARNAME_: C_LAND4. C-Proportion of land quality 4. ,6 ,4. Land4>25 land4<25. ,2 ,0 -,2 -,4. DIM2. -,6 Land4=0. -,8 -1,0 -,2. -,1. 0,0. ,1. ,2. DIM1. VARNAME_: C_LAND5. C-Proportion of land quality 5. ,6. ,4. land5<25. ,2. -,0. -,2 Land5>25. DIM2. -,4 Land5=0 -,6 -,8. -,6. -,4. -,2. 0,0. ,2. ,4. ,6. ,8. DIM1. VARNAME_: C_LAND6. C-Proportion of land quality 6. ,6 land6<25 ,4 ,2 0,0 -,2. DIM2. -,4. Land6=0. -,6 Land6>25 -,8 -,8. -,6. -,4. -,2. 0,0. ,2. ,4. ,6. ,8. DIM1. VARNAME_: C_LAND7 ,4. C-Proportion of land quality 7. land7<25. ,3 ,2 ,1 0,0 Land7>25 -,1. DIM2. -,2 Land7=0 -,3 -,4 -,2. 0,0. ,2. ,4. ,6. ,8. 1,0. DIM1. L.-M. Asselin 02-11-04 Appendix 3 page 28 D:\Bureau de Québec\Projets\MIMAP-Vietnam-3\Report\INDEXCOM03-Graph_1.spo.

(67) VLSS-1 Communes Data Exploration 39 variables 111 categories VARNAME_: C_LOUDSP C-loud speaker ,4 speakNO ,3 ,2 ,1 -,0. DIM2. -,1 -,2 speakYES -,3 -,6 -,4. -,2. -,0. ,2. ,4. ,6. ,8. DIM1. VARNAME_: C_LSECFE C-Fees at lower secondary school ,3. fLS25-50. ,2 fLS<25. ,1 0,0 -,1. DIM2. -,2 -,3 fLS50+ -,4 -,4. -,3. -,2. -,1. 0,0. ,1. ,2. ,3. ,4. DIM1. VARNAME_: C_MARKET C-market ,6 no mark periodic. ,4. ,2. 0,0. DIM2. -,2 daily. -,4 -,6. -,4. -,2. -,0. ,2. ,4. ,6. DIM1. VARNAME_: C_NOATTP C-First reason not attending prim sch 1,0 other. ,8 ,6 ,4. illness. parents. ,2. DIM2. 0,0 -,2. too exp. -,4 -1,5. -1,0. -,5. 0,0. too far ,5. 1,0. DIM1. L.-M. Asselin 02-11-04 Appendix 3 page 29 D:\Bureau de Québec\Projets\MIMAP-Vietnam-3\Report\INDEXCOM03-Graph_1.spo.

(68) VLSS-1 Communes Data Exploration 39 variables 111 categories VARNAME_: C_NOATTS C-First reason not attend sec school ,4 other parents ,2. -,0 too exp -,2. DIM2. -,4 too far -,6 -1,0. -,5. 0,0. ,5. 1,0. 1,5. DIM1. VARNAME_: C_PHAMAC C-Pharmacist in community ,2 phcistN. ,1. 0,0. DIM2. -,1. phcistY. -,2 -,4. -,2. 0,0. ,2. ,4. ,6. DIM1. VARNAME_: C_PHARM. C-Pharmacy in community. ,7 ,6 Pharm-N. ,5 ,4 ,3 ,2 ,1 -,0. DIM2. -,1 Pharm-Y -,2 -,3 -,4. -,2. 0,0. ,2. ,4. ,6. ,8. 1,0. DIM1. VARNAME_: C_POSTOF C-post office ,4. postNO. ,2. 0,0. -,2. -,4. DIM2. postYES -,6 -,8 -,4. -,3. -,2. -,1. 0,0. ,1. ,2. ,3. DIM1. L.-M. Asselin 02-11-04 Appendix 3 page 30 D:\Bureau de Québec\Projets\MIMAP-Vietnam-3\Report\INDEXCOM03-Graph_1.spo.

(69) VLSS-1 Communes Data Exploration 39 variables 111 categories VARNAME_: C_PRIFEA C-Study fees at grade 1-3 (000 dongs) ,4 fee<10 ,3 ,2 ,1 0,0 -,1 -,2. DIM2. fee>=10 -,3 -,4 -,2. -,1. 0,0. ,1. ,2. DIM1. VARNAME_: C_PRIFEB C-Study fees at grade 4-5 (000 dongs) ,4 fee<10 ,3 ,2 ,1 -,0. DIM2. -,1 -,2. fee>=10. -,3 -,2. -,1. 0,0. ,1. ,2. DIM1. VARNAME_: C_PRIRAT C-Primary enrolment rate ,4 prir100 ,2. 0,0. -,2. -,4. primr90 primr80. DIM2. -,6 -,8 -,4. -,2. 0,0. ,2. ,4. ,6. ,8. 1,0. 1,2. DIM1. VARNAME_: C_PROBHS C-Major health service prob in commun. ,3. ,2. ,1. lackfaci. -,0. -,1. other quality. DIM2. -,2 lackmedi -,3 -,6. -,4. -,2. -,0. ,2. ,4. ,6. ,8. 1,0. DIM1. L.-M. Asselin 02-11-04 Appendix 3 page 31 D:\Bureau de Québec\Projets\MIMAP-Vietnam-3\Report\INDEXCOM03-Graph_1.spo.

(70) VLSS-1 Communes Data Exploration 39 variables 111 categories VARNAME_: C_PROBLH C-Major health problem in community ,4 malnutri ,3 ,2 ,1 other 0,0 -,1 -,2 Malaria. DIM2. Respirat -,3 -,4 -,6. -,4. -,2. -,0. ,2. ,4. ,6. ,8. 1,0. DIM1. VARNAME_: C_PROBLP C-Major problem primary school-rec ,6 ,4 Poor mat. ,2 0,0 -,2 -,4. DIM2. Living S -,6 Quality -,8 -1,5. -1,0. -,5. 0,0. ,5. DIM1. VARNAME_: C_PROBLS C-Major problem lower second school ,6 other ,4. ,2 poor mat 0,0. DIM2. -,2 living s -,4 -,8. -,6. -,4. -,2. 0,0. ,2. ,4. ,6. DIM1. VARNAME_: C_PUBTRA C-Distance public transportation 1,0 pubt3k ,8 ,6 pubt11k+ ,4 ,2 pubt10k. DIM2. 0,0 -,2. pubt0k. -,4 -,6. -,4. -,2. -,0. ,2. ,4. ,6. ,8. 1,0. DIM1. L.-M. Asselin 02-11-04 Appendix 3 page 32 D:\Bureau de Québec\Projets\MIMAP-Vietnam-3\Report\INDEXCOM03-Graph_1.spo.

(71) VLSS-1 Communes Data Exploration 39 variables 111 categories VARNAME_: C_ROADS. C-Road passes by the community. ,2 ,1. roadYES. ,0 -,1 -,2 -,3. DIM2. -,4 rosdNO. -,5 -,6 -,2. 0,0. ,2. ,4. ,6. ,8. 1,0. DIM1. VARNAME_: C_SECRAT C-Enrol.rate at lower secondary school ,4 s>70. ,3 ,2 ,1 -,0. DIM2. -,1 s35-70. -,2. s<=35 -,3 -,6. -,4. -,2. -,0. ,2. ,4. ,6. ,8. 1,0. DIM1. VARNAME_: C_SECSCH C-Is there a lower secondary school? ,04 secs. ,02 0,00 -,02 -,04 -,06 -,08. DIM2. -,10 -,12. nosecs. -,14 -,1. 0,0. ,1. ,2. ,3. ,4. ,5. DIM1. VARNAME_: C_TRADHE C-Traditional healer in community ,5 tradheN ,4 ,3 ,2 ,1 -,0. DIM2. -,1 tradheY. -,2 -,3 -,2. -,1. 0,0. ,1. ,2. DIM1. L.-M. Asselin 02-11-04 Appendix 3 page 33 D:\Bureau de Québec\Projets\MIMAP-Vietnam-3\Report\INDEXCOM03-Graph_1.spo.

(72) VLSS-1 Communes Data Exploration 39 variables 111 categories VARNAME_: C_TRADMI C-Traditional midwife in community ,3. tradmidN. ,2. ,1. DIM2. 0,0 tradmidY -,1 -,5. -,4. -,3. -,2. -,1. 0,0. ,1. ,2. DIM1. VARNAME_: C_TRAIMI C-Trained midwife in community ,06 traimidN ,05 ,04 ,03 ,02 ,01 0,00. DIM2. traimidY -,01 -,02 -,1. 0,0. ,1. ,2. ,3. DIM1. VARNAME_: C_WATER ,4. C-Source of drinking water drilled. dug well ,2. 0,0. -,2. -,4. rain river. DIM2. -,6. other -,8 -,4. -,2. 0,0. ,2. ,4. ,6. ,8. 1,0. DIM1. L.-M. Asselin 02-11-04 Appendix 3 page 34 D:\Bureau de Québec\Projets\MIMAP-Vietnam-3\Report\INDEXCOM03-Graph_1.spo.

(73) Discrimination Measures. Dimension. C-Do hlds have electricity? C-Proportion of land quality 1 C-First reason not attending prim sch C-Proportion of land quality 2 C-Primary enrolment rate C-Where most of women give birth? C-loud speaker C-Major health problem in community C-First reason not attend sec school C-Enrol.rate at lower secondary school C-Major problem lower second school C-Pharmacy in community C-large enterprise < 10 kms C-Doctor in community C-Major problem primary school-rec C-Distance kms to hospital C-Is there an agric ext center in the community? C-market C-Proportion of land quality 5 C-Distance public transportation C-Proportion of land quality 6 C-Pharmacist in community C-food shop C-Proportion of land quality 7 C-Is there an agric coop in the community? C-Proportion of land quality 3 C-Road passes by the community C-Fees at lower secondary school C-post office C-Source of drinking water C-Major health service prob in commun. C-Traditional midwife in community C-Is there a lower secondary school? C-Study fees at grade 1-3 (000 dongs) C-Study fees at grade 4-5 (000 dongs) C-Traditional healer in community C-Proportion of land quality 4 C-Trained midwife in community C-Clinic in community. Louis-Marie Asselin 02-11-04. 1 0,514 0,492 0,388 0,371 0,348 0,337 0,315 0,299 0,289 0,287 0,278 0,262 0,254 0,252 0,219 0,209 0,206 0,194 0,176 0,175 0,167 0,138 0,132 0,123 0,115 0,107 0,106 0,081 0,079 0,078 0,07 0,069 0,03 0,021 0,021 0,018 0,016 0,009 0,005. 2 0,154 0,121 0,133 0,244 0,136 0,111 0,095 0,077 0,081 0,072 0,083 0,095 0,044 0,133 0,138 0,177 0,004 0,171 0,175 0,164 0,243 0,019 0,221 0,096 0,375 0,178 0,046 0,072 0,193 0,178 0,021 0,015 0,002 0,096 0,079 0,094 0,178 0,001 0,259. VLSS1-Communes-explo-discr.xls. Rank dim 1. Rank dim 2 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39. 14 19 17 3 16 20 23 29 27 30 26 24 33 18 15 10 37 12 11 13 4 35 5 21 1 7 32 31 6 8 34 36 38 22 28 25 9 39 2. Appendix 3 page 35.

(74) Appendix 4 Final Data Analysis with Multiple Correspondence Analysis.

(75) VLSS-1 Communes Final Data Analysis 24 variables 56 categories. Homals Credit. HOMALS Version 1.0 by Data Theory Scaling System Group (DTSS) Faculty of Social and Behavioral Sciences Leiden University, The Netherlands Case Processing Summary Cases Used in Analysis. 120. Marginal Frequencies C-Is there an agric coop in the community?. AgricY AgricN Missing. Marginal Frequency 77 43 0. C-Where most of women give birth?. home hos,cli other Missing. Marginal Frequency 35 80 5 0. C-Clinic in community. clinYes clinNO Missing. Marginal Frequency 37 83 0. L.-M. Asselin 02-10-30 Appendix 4 page 1 D:\CF Gauss projets\Formation SISERA Dakar nov 2002\Volume 2\Homals VLSS1-COMMUNES-final.spo.

(76) VLSS-1 Communes Final Data Analysis 24 variables 56 categories C-Doctor in community. Doctor-Y Doctor-N Missing. Marginal Frequency 50 70 0. C-Distance kms to hospital. d<=3k d3-10k d>10k Missing. Marginal Frequency 23 49 47 1. C-Do hlds have electricity?. C-None C-A few C-Most Missing. Marginal Frequency 15 50 55 0. C-large enterprise < 10 kms. entYES entNO Missing. Marginal Frequency 55 65 0. C-Is there an agric ext center in the community?. ExtY ExtN Missing. Marginal Frequency 31 89 0. L.-M. Asselin 02-10-30 Appendix 4 page 2 D:\CF Gauss projets\Formation SISERA Dakar nov 2002\Volume 2\Homals VLSS1-COMMUNES-final.spo.

(77) VLSS-1 Communes Final Data Analysis 24 variables 56 categories C-food shop. foodsYES foodsNO Missing. Marginal Frequency 52 68 0. C-Proportion of land quality 1. Land1=0 Land1<25 Land1>25 Missing. Marginal Frequency 57 41 22 0. C-Proportion of land quality 7. Land7=0 land7<25 Land7>25 Missing. Marginal Frequency 53 51 16 0. C-loud speaker. speakYES speakNO Missing. Marginal Frequency 64 56 0. C-market. dailyNO dailyYES Missing. Marginal Frequency 56 64 0. L.-M. Asselin 02-10-30 Appendix 4 page 3 D:\CF Gauss projets\Formation SISERA Dakar nov 2002\Volume 2\Homals VLSS1-COMMUNES-final.spo.

(78) VLSS-1 Communes Final Data Analysis 24 variables 56 categories C-Pharmacist in community. phcistY phcistN Missing. Marginal Frequency 65 55 0. C-Pharmacy in community. Pharm-Y Pharm-N Missing. Marginal Frequency 85 35 0. C-post office. postYES postNO Missing. Marginal Frequency 41 79 0. C-Primary enrolment rate. primr80 primr90 prir100 Missing. Marginal Frequency 22 15 83 0. C-Distance public transportation. pubt3k pubt10k pubt11k+ Missing. Marginal Frequency 77 28 15 0. L.-M. Asselin 02-10-30 Appendix 4 page 4 D:\CF Gauss projets\Formation SISERA Dakar nov 2002\Volume 2\Homals VLSS1-COMMUNES-final.spo.

(79) VLSS-1 Communes Final Data Analysis 24 variables 56 categories C-Road passes by the community. roadYES rosdNO Missing. Marginal Frequency 103 17 0. C-Enrol.rate at lower secondary school. s<=35 s35-70 s>70 Missing. Marginal Frequency 31 35 54 0. C-Is there a lower secondary school?. secs nosecs Missing. Marginal Frequency 106 14 0. C-Traditional healer in community. tradheY tradheN Missing. Marginal Frequency 77 43 0. C-Traditional midwife in community. tradmidY tradmidN Missing. Marginal Frequency 87 33 0. L.-M. Asselin 02-10-30 Appendix 4 page 5 D:\CF Gauss projets\Formation SISERA Dakar nov 2002\Volume 2\Homals VLSS1-COMMUNES-final.spo.

(80) VLSS-1 Communes Final Data Analysis 24 variables 56 categories C-Trained midwife in community Marginal Frequency 101 19 0. traimidY traimidN Missing. Iteration History. Iteration 9a. Fit ,348877. Difference from the Previous Iteration ,000010. a. The iteration was terminated because convergence criteria are satisified. Eigenvalues Dimension 1 2. Eigenvalue ,216 ,133. L.-M. Asselin 02-10-30 Appendix 4 page 6 D:\CF Gauss projets\Formation SISERA Dakar nov 2002\Volume 2\Homals VLSS1-COMMUNES-final.spo.

(81) VLSS-1 Communes Final Data Analysis 24 variables 56 categories Discrimination Measures Dimension 1 C-Is there an agric coop in the community? C-Where most of women give birth? C-Clinic in community C-Doctor in community C-Distance kms to hospital C-Do hlds have electricity? C-large enterprise < 10 kms C-Is there an agric ext center in the community? C-food shop C-Proportion of land quality 1 C-Proportion of land quality 7 C-loud speaker C-market C-Pharmacist in community C-Pharmacy in community C-post office C-Primary enrolment rate C-Distance public transportation C-Road passes by the community C-Enrol.rate at lower secondary school C-Is there a lower secondary school? C-Traditional healer in community C-Traditional midwife in community C-Trained midwife in community. 2 ,034. ,489. ,291. ,201. ,044 ,374. ,183 ,051. ,186. ,159. ,398. ,371. ,295. ,001. ,231. ,009. ,276. ,134. ,326. ,149. ,093. ,060. ,382 ,326. ,023 ,120. ,268. ,031. ,414. ,046. ,209 ,210. ,175 ,283. ,312. ,029. ,133. ,125. ,222. ,203. ,053. ,003. ,078. ,139. ,026. ,172. ,010. ,029. L.-M. Asselin 02-10-30 Appendix 4 page 7 D:\CF Gauss projets\Formation SISERA Dakar nov 2002\Volume 2\Homals VLSS1-COMMUNES-final.spo.

(82) VLSS-1 Communes Final Data Analysis 24 variables 56 categories. Discrimination Measures ,5. ,4. C-Do hlds ha C-Primary en. ,3. Dimension 2. C-Enrol.rate C-Where most ,2C-Clinic in C-post offic C-Traditiona C-Distance kC-Proportion C-Traditiona C-food shop C-Road passe C-market ,1 C-Proportion C-Doctor in C-Pharmacy i C-Pharmacist C-Distance C-Trained mi C-loudpspeak C-Is there a C-Is there a C-large ente 0,0 -,1 0,0. ,1. ,2. ,3. ,4. ,5. Dimension 1. Quantifications C-Is there an agric coop in the community?. AgricY AgricN Missing. Marginal Frequency 77 43 0. Category Quantifications Dimension 1 2 ,138 -,523 -,245 ,936. C-Where most of women give birth?. home hos,cli other Missing. Marginal Frequency 35 80 5 0. Category Quantifications Dimension 1 2 -,835 ,250 ,329 -,227 ,600 1,888. L.-M. Asselin 02-10-30 Appendix 4 page 8 D:\CF Gauss projets\Formation SISERA Dakar nov 2002\Volume 2\Homals VLSS1-COMMUNES-final.spo.

(83) VLSS-1 Communes Final Data Analysis 24 variables 56 categories C-Clinic in community. clinYes clinNO Missing. Marginal Frequency 37 83 0. Category Quantifications Dimension 1 2 ,316 ,641 -,140 -,286. C-Doctor in community. Doctor-Y Doctor-N Missing. Marginal Frequency 50 70 0. Category Quantifications Dimension 1 2 ,724 ,267 -,516 -,191. C-Distance kms to hospital. d<=3k d3-10k d>10k Missing. Marginal Frequency 23 49 47 1. Category Quantifications Dimension 1 2 ,776 ,382 ,009 -,478 -,425 ,312. C-Do hlds have electricity?. C-None C-A few C-Most Missing. Marginal Frequency 15 50 55 0. Category Quantifications Dimension 1 2 -1,237 -,230 -,297 ,709 ,609 -,582. L.-M. Asselin 02-10-30 Appendix 4 page 9 D:\CF Gauss projets\Formation SISERA Dakar nov 2002\Volume 2\Homals VLSS1-COMMUNES-final.spo.

(84) VLSS-1 Communes Final Data Analysis 24 variables 56 categories C-large enterprise < 10 kms. Marginal Frequency 55 65 0. entYES entNO Missing. Category Quantifications Dimension 1 2 ,591 -,029 -,499 ,025. C-Is there an agric ext center in the community?. Marginal Frequency 31 89 0. ExtY ExtN Missing. Category Quantifications Dimension 1 2 ,815 -,159 -,283 ,055. C-food shop. foodsYES foodsNO Missing. Marginal Frequency 52 68 0. Category Quantifications Dimension 1 2 ,601 ,418 -,459 -,320. C-Proportion of land quality 1. Land1=0 Land1<25 Land1>25 Missing. Marginal Frequency 57 41 22 0. Category Quantifications Dimension 1 2 -,562 ,404 ,309 -,390 ,884 -,320. L.-M. Asselin 02-10-30 Appendix 4 page 10 D:\CF Gauss projets\Formation SISERA Dakar nov 2002\Volume 2\Homals VLSS1-COMMUNES-final.spo.

(85) VLSS-1 Communes Final Data Analysis 24 variables 56 categories C-Proportion of land quality 7. Land7=0 land7<25 Land7>25 Missing. Category Quantifications Dimension 1 2 ,139 ,237 ,100 -,281 -,774 ,110. Marginal Frequency 53 51 16 0. C-loud speaker. speakYES speakNO Missing. Category Quantifications Dimension 1 2 ,579 ,143 -,660 -,164. Marginal Frequency 64 56 0 C-market. dailyNO dailyYES Missing. Marginal Frequency 56 64 0. Category Quantifications Dimension 1 2 -,610 -,370 ,535 ,324. C-Pharmacist in community. phcistY phcistN Missing. Marginal Frequency 65 55 0. Category Quantifications Dimension 1 2 ,477 ,162 -,562 -,191. L.-M. Asselin 02-10-30 Appendix 4 page 11 D:\CF Gauss projets\Formation SISERA Dakar nov 2002\Volume 2\Homals VLSS1-COMMUNES-final.spo.

(86) VLSS-1 Communes Final Data Analysis 24 variables 56 categories C-Pharmacy in community. Pharm-Y Pharm-N Missing. Marginal Frequency 85 35 0. Category Quantifications Dimension 1 2 ,413 ,138 -1,002 -,335. C-post office. postYES postNO Missing. Marginal Frequency 41 79 0. Category Quantifications Dimension 1 2 ,635 ,581 -,329 -,302. C-Primary enrolment rate. primr80 primr90 prir100 Missing. Marginal Frequency 22 15 83 0. Category Quantifications Dimension 1 2 -,913 ,879 -,181 ,664 ,276 -,353. C-Distance public transportation. pubt3k pubt10k pubt11k+ Missing. Marginal Frequency 77 28 15 0. Category Quantifications Dimension 1 2 ,388 ,051 -,441 ,100 -1,165 -,446. L.-M. Asselin 02-10-30 Appendix 4 page 12 D:\CF Gauss projets\Formation SISERA Dakar nov 2002\Volume 2\Homals VLSS1-COMMUNES-final.spo.

(87) VLSS-1 Communes Final Data Analysis 24 variables 56 categories C-Road passes by the community. roadYES rosdNO Missing. Marginal Frequency 103 17 0. Category Quantifications Dimension 1 2 ,149 -,144 -,897 ,871. C-Enrol.rate at lower secondary school. s<=35 s35-70 s>70 Missing. Marginal Frequency 31 35 54 0. Category Quantifications Dimension 1 2 -,732 ,675 -,013 ,067 ,430 -,431. C-Is there a lower secondary school?. secs nosecs Missing. Marginal Frequency 106 14 0. Category Quantifications Dimension 1 2 ,084 -,021 -,634 ,158. C-Traditional healer in community. tradheY tradheN Missing. Marginal Frequency 77 43 0. Category Quantifications Dimension 1 2 ,210 ,278 -,374 -,499. L.-M. Asselin 02-10-30 Appendix 4 page 13 D:\CF Gauss projets\Formation SISERA Dakar nov 2002\Volume 2\Homals VLSS1-COMMUNES-final.spo.

(88) VLSS-1 Communes Final Data Analysis 24 variables 56 categories C-Traditional midwife in community. Marginal Frequency 87 33 0. tradmidY tradmidN Missing. Category Quantifications Dimension 1 2 -,098 ,255 ,261 -,673. C-Trained midwife in community. traimidY traimidN Missing. Marginal Frequency 101 19 0. Category Quantifications Dimension 1 2 ,045 ,074 -,233 -,391. C-large enterprise <. Quantifications. 10 kms other. 2,0. C-Do hlds have elect ricity?. 1,5. C-Distance kms to ho spital. AgricN primr80 rosdNO few clinYes s<=35 C-A primr90 postYES foodsYES Land1=0 d<=3k ,5 dailyYES tradheY Doctor-Y tradmidY home d>10k Land7=0 phcistY nosecs speakYES Pharm-Y Land7>25 pubt10k traimidY s35-70 ExtN pubt3k entNO secs entYES 0,0 ExtY Doctor-N roadYES phcistN hos,cli C-None speakNO land7<25 clinNO postNO foodsNO Land1>25 Pharm-N prir100 dailyNO traimidNLand1<25 s>70 pubt11k+ tradheNd3-10k AgricY C-Most -,5 tradmidN. Dimension 2. 1,0. C-Doctor in communit y C-Clinic in communit y C-Where most of wome n give birth? C-Is there an agric. -1,0 -1,5. coop in the communit -1,0. -,5. 0,0. ,5. 1,0. Dimension 1. L.-M. Asselin 02-10-30 Appendix 4 page 14 D:\CF Gauss projets\Formation SISERA Dakar nov 2002\Volume 2\Homals VLSS1-COMMUNES-final.spo.

(89) VLSS-1 Communes Final Data Analysis 24 variables 56 categories Object Scores. 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44. Dimension 1 2 -2,301 -,408 -1,287 -,698 -,013 1,700 -1,177 ,225 -1,033 -,165 -1,296 -,597 -1,412 -,845 -1,365 ,090 -,509 -,661 -,139 -1,653 -1,268 ,040 -1,186 ,627 -1,167 -,889 -,445 -,751 -,966 -,053 ,022 -,355 ,946 -1,089 ,706 ,118 1,508 -,238 1,139 -,899 1,115 -,492 ,430 -1,011 -1,694 -,212 -1,123 -1,613 -,487 -,074 -,008 -,798 -,486 -1,855 -,652 -1,017 ,581 ,013 -,700 -,825 ,254 -,422 1,772 -,050 ,730 -1,050 1,928 ,199 ,663 -1,663 ,893 -,886 1,261 -,498 1,419 -,421 1,194 -,587 1,268 -1,017 ,397 -1,779 1,564 -,738 1,410 ,265 ,347 -,704. L.-M. Asselin 02-10-30 Appendix 4 page 15 D:\CF Gauss projets\Formation SISERA Dakar nov 2002\Volume 2\Homals VLSS1-COMMUNES-final.spo.

(90) VLSS-1 Communes Final Data Analysis 24 variables 56 categories Object Scores Dimension 1 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88. ,490 ,049 ,444 ,854 ,975 -,993 1,430 ,316 ,582 -,900 -,103 -,568 1,453 -,367 ,471 ,158 -,181 -2,157 -,799 -,683 -,542 -,122 -1,478 ,403 -2,467 ,007 1,707 -,085 -1,056 1,305 -2,028 ,535 ,546 ,142 1,352 ,459 1,290 ,513 ,728 -,644 -,774 1,233 -1,093 ,669. 2 -,698 -,764 -,679 -,357 -,751 -,168 -,573 -1,225 -,811 -,734 -,857 -,571 -,035 -1,512 -1,321 -,872 -,896 -,308 -1,569 -,742 -1,141 ,027 -,877 -,273 ,233 -,424 -,203 ,496 ,445 -,486 ,099 -,828 -,180 -,559 ,310 ,882 ,597 -1,001 ,578 ,331 ,364 1,410 ,282 1,314. L.-M. Asselin 02-10-30 Appendix 4 page 16 D:\CF Gauss projets\Formation SISERA Dakar nov 2002\Volume 2\Homals VLSS1-COMMUNES-final.spo.

(91) VLSS-1 Communes Final Data Analysis 24 variables 56 categories Object Scores Dimension 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120. 1. 2. ,561 -,818 ,770 ,127 1,337 -,037 ,736 -1,000 -,046 ,640 ,630 ,952 ,515 ,247 1,080 ,155 -,453 -,442 ,360 -,477 ,862 ,209 ,917 -1,722 -1,616 -,139 ,584 -,267 -1,421 -1,334 -1,112 -1,628. ,735 1,540 -,185 2,206 ,142 ,107 ,844 ,849 1,830 ,577 ,833 1,773 1,665 2,112 1,131 1,861 1,547 1,193 1,264 ,290 ,977 1,575 2,769 ,927 ,889 -,250 2,050 2,353 1,331 ,415 1,198 1,238. L.-M. Asselin 02-10-30 Appendix 4 page 17 D:\CF Gauss projets\Formation SISERA Dakar nov 2002\Volume 2\Homals VLSS1-COMMUNES-final.spo.

(92) VLSS-1 Communes Final Data Analysis 24 variables 56 categories VARNAME_: C_AGRCOO C-Is there an agric coop in the communit 1,2 AgricN. 1,0 ,8 ,6 ,4 ,2 -,0. DIM2. -,2 -,4. AgricY. -,6 -,3. -,2. -,1. -,0. ,1. ,2. DIM1. VARNAME_: C_BIRTH. C-Where most of women give birth?. 2,5. other. 2,0. 1,5. 1,0. ,5 home. DIM2. 0,0. hos,cli. -,5 -1,0. -,8. -,6. -,4. -,2. ,0. ,2. ,4. ,6. ,8. DIM1. VARNAME_: C_CLINIC C-Clinic in community ,8 clinYes ,6. ,4. ,2. 0,0. DIM2. -,2. clinNO. -,4 -,2. -,1. 0,0. ,1. ,2. ,3. ,4. DIM1. VARNAME_: C_DOCTOR C-Doctor in community ,3. Doctor-Y. ,2. ,1. 0,0. DIM2. -,1 Doctor-N -,2 -,6 -,4. -,2. -,0. ,2. ,4. ,6. ,8. DIM1. L.-M. Asselin 02-11-04 Appendix 4 page 18 D:\Bureau de Québec\Projets\MIMAP-Vietnam-3\INDEXCOM04-Graph_1.spo.

(93) VLSS-1 Communes Final Data Analysis 24 variables 56 categories VARNAME_: C_DSTHOS C-Distance kms to hospital ,6 d<=3k. ,4. d>10k. ,2. -,0. -,2. DIM2. -,4. d3-10k. -,6 -,6. -,4. -,2. -,0. ,2. ,4. ,6. ,8. 1,0. DIM1. VARNAME_: C_ELEC ,8. C-Do hlds have electricity?. C-A few. ,6 ,4 ,2 -,0 C-None. DIM2. -,2 -,4. C-Most. -,6 -1,5. -1,0. -,5. 0,0. ,5. 1,0. DIM1. VARNAME_: C_ENTERP C-large enterprise < 10 kms ,03 entNO ,02. ,01. 0,00. -,01. DIM2. -,02 entYES. -,03 -,6. -,4. -,2. -,0. ,2. ,4. ,6. ,8. DIM1. VARNAME_: C_EXTCEN C-Is there an agric ext center in the co ,1 ExtN. 0,0. -,1. DIM2. ExtY. -,2 -,4. -,2. 0,0. ,2. ,4. ,6. ,8. 1,0. DIM1. L.-M. Asselin 02-11-04 Appendix 4 page 19 D:\Bureau de Québec\Projets\MIMAP-Vietnam-3\INDEXCOM04-Graph_1.spo.

(94) VLSS-1 Communes Final Data Analysis 24 variables 56 categories VARNAME_: C_FOODSH C-food shop ,6 foodsYES ,4. ,2. 0,0. DIM2. -,2 foodsNO -,4 -,6. -,4. -,2. -,0. ,2. ,4. ,6. ,8. DIM1. VARNAME_: C_LAND1. C-Proportion of land quality 1. ,6 Land1=0 ,4. ,2. -,0. -,2 Land1>25 Land1<25. DIM2. -,4 -,6 -,8. -,6. -,4. -,2. 0,0. ,2. ,4. ,6. ,8. 1,0. DIM1. VARNAME_: C_LAND7. C-Proportion of land quality 7. ,3 Land7=0 ,2 Land7>25 ,1. -,0. -,1. DIM2. -,2 land7<25 -,3 -1,0. -,8. -,6. -,4. -,2. 0,0. ,2. DIM1. VARNAME_: C_LOUDSP C-loud speaker ,2 speakYES. ,1. 0,0. DIM2. -,1 speakNO -,2 -,8. -,6. -,4. -,2. 0,0. ,2. ,4. ,6. ,8. DIM1. L.-M. Asselin 02-11-04 Appendix 4 page 20 D:\Bureau de Québec\Projets\MIMAP-Vietnam-3\INDEXCOM04-Graph_1.spo.

(95) VLSS-1 Communes Final Data Analysis 24 variables 56 categories VARNAME_: C_MARKET C-market ,4 dailyYES ,3 ,2 ,1 0,0 -,1. DIM2. -,2 -,3 dailyNO -,4 -,8. -,6. -,4. -,2. 0,0. ,2. ,4. ,6. ,8. DIM1. VARNAME_: C_PHAMAC C-Pharmacist in community ,2 phcistY. ,1. 0,0. DIM2. -,1. phcistN -,2 -,8. -,6. -,4. -,2. 0,0. ,2. ,4. ,6. DIM1. VARNAME_: C_PHARM. C-Pharmacy in community. ,2 Pharm-Y ,1. 0,0. -,1. -,2. DIM2. -,3. Pharm-N. -,4 -1,2. -1,0. -,8. -,6. -,4. -,2. ,0. ,2. ,4. ,6. DIM1. VARNAME_: C_POSTOF C-post office ,8 postYES. ,6. ,4. ,2. 0,0. DIM2. -,2 postNO -,4 -,4. -,2. 0,0. ,2. ,4. ,6. ,8. DIM1. L.-M. Asselin 02-11-04 Appendix 4 page 21 D:\Bureau de Québec\Projets\MIMAP-Vietnam-3\INDEXCOM04-Graph_1.spo.

(96) VLSS-1 Communes Final Data Analysis 24 variables 56 categories VARNAME_: C_PRIRAT C-Primary enrolment rate 1,0 primr80 ,8 primr90 ,6 ,4 ,2. DIM2. 0,0 -,2 prir100 -,4 -1,0. -,8. -,6. -,4. -,2. 0,0. ,2. ,4. DIM1. VARNAME_: C_PUBTRA C-Distance public transportation ,2 pubt10k ,1. pubt3k. 0,0 -,1 -,2. DIM2. -,3 -,4. pubt11k+. -,5 -1,4. -1,2. -1,0. -,8. -,6. -,4. -,2. ,0. ,2. ,4. ,6. DIM1. VARNAME_: C_ROADS. C-Road passes by the community. 1,0 rosdNO ,8. ,6. ,4. ,2. DIM2. 0,0 roadYES -,2 -1,0. -,8. -,6. -,4. -,2. 0,0. ,2. ,4. DIM1. VARNAME_: C_SECRAT C-Enrol.rate at lower secondary school ,8 s<=35 ,6 ,4 ,2 s35-70 -,0. DIM2. -,2 s>70. -,4 -,6 -,8. -,6. -,4. -,2. 0,0. ,2. ,4. ,6. DIM1. L.-M. Asselin 02-11-04 Appendix 4 page 22 D:\Bureau de Québec\Projets\MIMAP-Vietnam-3\INDEXCOM04-Graph_1.spo.

(97) VLSS-1 Communes Final Data Analysis 24 variables 56 categories VARNAME_: C_SECSCH C-Is there a lower secondary school? ,2 nosecs. ,1. DIM2. 0,0. secs. -,1 -,8. -,6. -,4. -,2. 0,0. ,2. DIM1. VARNAME_: C_TRADHE C-Traditional healer in community ,4 tradheY ,2. -,0. -,2. DIM2. -,4 tradheN -,6 -,5. -,4. -,3. -,2. -,1. ,0. ,1. ,2. ,3. DIM1. VARNAME_: C_TRADMI C-Traditional midwife in community ,4 tradmidY ,2. 0,0. -,2. -,4. DIM2. -,6. tradmidN. -,8 -,2. -,1. 0,0. ,1. ,2. ,3. DIM1. VARNAME_: C_TRAIMI C-Trained midwife in community ,2. ,1. traimidY. 0,0. -,1. -,2. DIM2. -,3 -,4 -,3. traimidN -,2. -,1. 0,0. ,1. DIM1. L.-M. Asselin 02-11-04 Appendix 4 page 23 D:\Bureau de Québec\Projets\MIMAP-Vietnam-3\INDEXCOM04-Graph_1.spo.

(98) Discrimination Measures. VLSS-1 Communes Final Data Analysis 24 variables 56 categories Dimension. C-Pharmacy in community C-Do hlds have electricity? C-loud speaker C-Doctor in community C-Proportion of land quality 1 C-market C-Distance public transportation C-large enterprise < 10 kms C-Where most of women give birth? C-food shop C-Pharmacist in community C-Is there an agric ext center in the community? C-Enrol.rate at lower secondary school C-Primary enrolment rate C-post office C-Distance kms to hospital C-Road passes by the community C-Proportion of land quality 7 C-Traditional healer in community C-Is there a lower secondary school? C-Clinic in community C-Is there an agric coop in the community? C-Traditional midwife in community C-Trained midwife in community. 1 0,414 0,398 0,382 0,374 0,326 0,326 0,312 0,295 0,291 0,276 0,268 0,231 0,222 0,21 0,209 0,186 0,133 0,093 0,078 0,053 0,044 0,034 0,026 0,01. 2 0,046 0,371 0,023 0,051 0,149 0,12 0,029 0,001 0,201 0,134 0,031 0,009 0,203 0,283 0,175 0,159 0,125 0,06 0,139 0,003 0,183 0,489 0,172 0,029. Rank dim 1. Rank dim 2 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24. 17 2 21 16 10 14 19 24 5 12 18 22 4 3 7 9 13 15 11 23 6 1 8 20. Appendix 4 page 24.

(99) Communes ordered according to decreasing multidimensional poverty. 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50. Code of the community 69 1 62 75 112 23 120 113 67 117 7 8 118 6 2 11 12 4 13 24 119 87 73 5 96 50 15 54 90 63 85 30 64 28 84 56 65 9 25 27 108 105 14 106 58 116 61 10 114 66. Composite Poverty Indicator -2,467 -2,301 -2,157 -2,028 -1,722 -1,694 -1,628 -1,616 -1,478 -1,421 -1,412 -1,365 -1,334 -1,296 -1,287 -1,268 -1,186 -1,177 -1,167 -1,123 -1,112 -1,093 -1,056 -1,033 -1,000 -,993 -,966 -,900 -,818 -,799 -,774 -,700 -,683 -,652 -,644 -,568 -,542 -,509 -,487 -,486 -,477 -,453 -,445 -,442 -,367 -,267 -,181 -,139 -,139 -,122. Total population 1985 1719 4147 4360 12193 5614 22691 22865 2547 6189 3967 5292 9019 2984 3308 3620 6501 3617 1085 6618 16816 6483 7110 4787 12595 8578 2570 4699 5531 5356 5301 8957 2264 3505 5767 4387 3860 10428 13755 9597 7602 13328 6710 13886 6533 10497 7626 4283 14956 8509. Total number of households 364 272 904 608 2074 1060 3885 3969 546 1032 623 1054 1563 502 582 695 1148 617 221 1354 2733 1325 931 900 2501 1548 470 1130 1139 1106 932 2156 555 585 994 820 720 1906 2686 1958 1407 2773 1461 2633 1132 2146 1651 843 2756 1780. Region North Central Northern Uplands North Central Central Coast Mekong River Delta Northern Uplands Mekong River Delta Mekong River Delta North Central Mekong River Delta Northern Uplands Northern Uplands Mekong River Delta Northern Uplands Northern Uplands Northern Uplands Northern Uplands Northern Uplands Red River Delta Northern Uplands Mekong River Delta Southeast Central Highlands Northern Uplands Southeast Red River Delta Red River Delta North Central Mekong River Delta North Central Central Highlands Red River Delta North Central Northern Uplands Central Coast North Central North Central Northern Uplands Northern Uplands Northern Uplands Mekong River Delta Mekong River Delta Red River Delta Mekong River Delta North Central Mekong River Delta North Central Northern Uplands Mekong River Delta North Central. Appendix 4 page 25.

(100) Communes ordered according to decreasing multidimensional poverty. 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100. Code of the community 55 72 97 94 3 26 70 16 46 92 78 104 60 110 102 31 52 44 107 41 68 22 47 80 59 45 82 101 76 77 89 29 53 115 99 98 35 88 18 83 33 95 91 48 109 36 111 17 100 49. Composite Poverty Indicator -,103 -,085 -,046 -,037 -,013 -,008 ,007 ,022 ,049 ,127 ,142 ,155 ,158 ,209 ,247 ,254 ,316 ,347 ,360 ,397 ,403 ,430 ,444 ,459 ,471 ,490 ,513 ,515 ,535 ,546 ,561 ,581 ,582 ,584 ,630 ,640 ,663 ,669 ,706 ,728 ,730 ,736 ,770 ,854 ,862 ,893 ,917 ,946 ,952 ,975. Total population 3454 2568 10921 5490 4445 10156 7941 7013 6643 13129 10733 12127 4589 16906 3981 6221 4538 6321 7213 5910 11537 4316 4001 8760 5980 8250 8111 13008 8633 8891 18144 9771 4072 22011 8180 30542 7232 10933 9834 8254 7019 18358 3223 11238 11962 7463 11267 9825 12354 7260. Total number of households 916 551 2046 1338 844 2085 213 1679 1720 2257 2310 2202 978 2771 787 1539 1239 1631 1401 1697 2100 990 937 1621 1400 2086 1182 2356 1900 1798 3659 2192 900 4002 1543 1809 1823 2094 1936 1547 2109 3229 688 2892 2069 1534 1893 1936 2088 1610. Region North Central Central Coast Southeast Southeast Northern Uplands Northern Uplands Central Coast Red River Delta Red River Delta Southeast Central Coast Mekong River Delta North Central Mekong River Delta Mekong River Delta Red River Delta North Central Red River Delta Mekong River Delta Red River Delta North Central Northern Uplands Red River Delta Central Highlands North Central Red River Delta Central Coast Mekong River Delta Central Coast Central Coast Southeast Red River Delta North Central Mekong River Delta Mekong River Delta Mekong River Delta Red River Delta Southeast Red River Delta Central Coast Red River Delta Southeast Mekong River Delta Red River Delta Mekong River Delta Red River Delta Mekong River Delta Red River Delta Mekong River Delta Red River Delta. Appendix 4 page 26.

(101) Communes ordered according to decreasing multidimensional poverty. 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120. Code of the community 103 21 20 39 86 37 40 81 74 93 79 43 38 51 57 19 42 71 32 34. Composite Poverty Indicator 1,080 1,115 1,139 1,194 1,233 1,261 1,268 1,290 1,305 1,337 1,352 1,410 1,419 1,430 1,453 1,508 1,564 1,707 1,772 1,928. Total population 13700 7875 8089 5686 15489 6692 7324 16290 9753 12559 16848 12136 6756 10158 16824 13726 5225 13367 7800 9898. Total number of households 2556 1776 1825 1310 3011 1894 1995 2169 1923 2371 3623 3034 1640 2547 4487 3078 1326 2961 1540 2145. Region Mekong River Delta Red River Delta Red River Delta Red River Delta Southeast Red River Delta Red River Delta Central Highlands Central Coast Southeast Central Coast Red River Delta Red River Delta Red River Delta North Central Red River Delta Red River Delta Central Coast Red River Delta Red River Delta. Appendix 4 page 27.

(102) Second Factorial Axis The North / South Poverty Types. Graph 1 Regions in the Poverty Map 1,5 R7 R6. 1,0 R5 ,5. 0,0. R4 R1. R2. DIM2. -,5 R3 -1,0 -1,0. -,8. -,6. -,4. -,2. ,0. ,2. ,4. ,6. ,8. DIM1. L.-M. Asselin 02-11-04. Appendix 4 page 28.

(103) Second Factorial Axis The North / South Poverty Types. Regions of Vietnam. Graph 2. C-Road passes by the. Regions and Economy/Infras. community C-Distance public tr. 1,5 R7 1,0. ansportation R6. rosdNO. C-post office. C-A few R5. DIM2. ,5 pubt10k entNO 0,0 speakNO C-None postNO foodsNO dailyNO pubt11k+R1 -,5 R3 -1,0 -1,5. C-market. postYES foodsYES dailyYES speakYES pubt3k entYES roadYES R4. C-loud speaker C-food shop C-large enterprise < 10 kms. C-Most R2. C-Do hlds have elect ricity?. -1,0. -,5. 0,0. ,5. 1,0. DIM1. L.-M. Asselin 02-11-04. Appendix 4 page 29.

(104) Second Factorial Axis The North / South Poverty Types. Graph 3 Regions and Education 1,5 R7 R6. 1,0primr80. VARNAME_. s<=35. primr90 R5. Regions of Vietnam. ,5. C-Is there a lower s. nosecs. s35-70 secs. 0,0. econdary school? R4. R1. r secondary school. R2. -,5. DIM2. C-Enrol.rate at lowe. prir100 s>70 R3. -1,0 -1,0 -,8. C-Primary enrolment rate. -,6. -,4. -,2. ,0. ,2. ,4. ,6. ,8. DIM1. L.-M. Asselin 02-11-04. Appendix 4 page 30.

(105) Second Factorial Axis The North / South Poverty Types. Graph 4.1 Regions and Health Infrastructure 2,5. VARNAME_ other. 2,0 1,5. Regions of Vietnam C-Pharmacy in commun. R7. ity. R6. 1,0. C-Distance kms to ho. R5 clinYes ,5 0,0. DIM2. d<=3k Pharm-Y. home d>10k Pharm-N R1. -,5 -1,0 -1,5. spital C-Clinic in communit. R4 clinNO hos,cli d3-10k R2 R3. y C-Where most of wome n give birth?. -1,0. -,5. 0,0. ,5. 1,0. DIM1. L.-M. Asselin 02-11-04. Appendix 4 page 31.

(106) Second Factorial Axis The North / South Poverty Types. Graph 4.2 VARNAME_. Regions and Health Staff. Regions of Vietnam. 1,5 R7. C-Trained midwife in community. R6. 1,0. C-Traditional midwif R5 ,5. tradheY Doctor-Y tradmidY phcistY traimidY. 0,0. R3 -1,0 -1,0. in community C-Pharmacist in comm. traimidN tradheN. -,5. C-Traditional healer. R4. Doctor-N phcistN R1. DIM2. e in community. tradmidN. unity. R2. C-Doctor in communit y. -,5. 0,0. ,5. 1,0. DIM1. L.-M. Asselin 02-11-04. Appendix 4 page 32.

(107) Second Factorial Axis The North / South Poverty Types. Graph 5 Regions and Agriculture 1,5. VARNAME_. R7 AgricN. 1,0. Regions of Vietnam. R6. C-Proportion of land R5. quality 7. Land1=0. ,5. Land7=0 Land7>25 ExtN 0,0. quality 1. R4 ExtY land7<25 Land1>25 Land1<25 AgricY R2. R1 -,5. DIM2. C-Proportion of land. C-Is there an agric ext center in the co. R3 -1,0 -1,5. C-Is there an agric coop in the communit. -1,0. -,5. 0,0. ,5. 1,0. 1,5. DIM1. L.-M. Asselin 02-11-04. Appendix 4 page 33.

(108) Basic Questionnaire for the Composite Poverty Indicator DOMAIN = Economy and Infrastructure 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18. VARNAME_ C-Do hlds have electricity?. C-large enterprise < 10 kms C-food shop C-loud speaker C-market C-post office C-Distance public transportation. C-Road passes by the community. LEVEL C-None C-A few C-Most entYES entNO foodsYES foodsNO speakYES speakNO dailyNO dailyYES postYES postNO pubt3k pubt10k pubt11k+ roadYES rosdNO. Value (0/1) , , , , , , , , , , , , , , , , , ,. Weight -5726 -1375 2818 2735 -2309 2784 -2124 2679 -3055 -2822 2475 2939 -1521 1798 -2044 -5394 689 -4152. DOMAIN = Education Basic Questionnaire for the Composite Poverty Indicator. 1 2 3 4 5 6 7 8. VARNAME_ C-Primary enrolment rate. C-Enrol.rate at lower secondary school. C-Is there a lower secondary school?. LEVEL primr80 primr90 prir100 s<=35 s35-70 s>70 secs nosecs. Value (0/1) , , , , , , , ,. L.-M. Asselin 02-11-04 D:\Bureau de Québec\Projets\MIMAP-Vietnam-3\Basic Questionnaire.spo. Weight -4228 -838 1276 -3389 -60 1990 391 -2936. Appendix 4 page 33.

(109) Basic Questionnaire for the Composite Poverty Indicator DOMAIN = Health 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20. VARNAME_ C-Where most of women give birth?. C-Clinic in community C-Doctor in community C-Distance kms to hospital. C-Pharmacist in community C-Pharmacy in community C-Traditional healer in community C-Traditional midwife in community C-Trained midwife in community. LEVEL home hos,cli other clinYes clinNO Doctor-Y Doctor-N d<=3k d3-10k d>10k phcistY phcistN Pharm-Y Pharm-N tradheY tradheN tradmidY tradmidN traimidY traimidN. Value (0/1) , , , , , , , , , , , , , , , , , , , ,. Weight -3868 1523 2777 1462 -647 3352 -2390 3593 40 -1967 2209 -2604 1913 -4637 972 -1732 -455 1210 206 -1079. DOMAIN = Agriculture 1 2 3 4 5 6 7 8 9 10. VARNAME_ C-Is there an agric coop in the communit C-Is there an agric ext center in the co C-Proportion of land quality 1. C-Proportion of land quality 7. LEVEL AgricY AgricN ExtY ExtN Land1=0 Land1<25 Land1>25 Land7=0 land7<25 Land7>25. Value (0/1) , , , , , , , , , ,. L.-M. Asselin 02-11-04 D:\Bureau de Québec\Projets\MIMAP-Vietnam-3\Basic Questionnaire.spo. Weight 638 -1134 3771 -1310 -2602 1431 4090 643 463 -3585. Appendix 4 page 34.

(110) Appendix 5 Multidimensional Inequality Indices.

(111) Output from STATA 7.0, package INEQUAL 1 Graph 5.1 Lorenz curve Rural Vietnam Communes _perc. _share. cumulative proportion of CPIND. 1. .75. .5. .25. 0 0. .25. .5 .75 cumulative proportion of sample. 1. Lorenz curve. 1. Full extracts from the Log file are produced, so that the reader can see exactly which command has been used.. 1.

(112) Graph 5.2 Lorenz curve Southern Vietnam Communes. _perc. _share. cumulative proportion of CPIND. 1. .75. .5. .25. 0 0. .25. .5 .75 cumulative proportion of sample. 1. Lorenz curve. Graph 5.3 Lorenz curve Northern Vietnam Communes. _perc. _share. cumulative proportion of CPIND. 1. .75. .5. .25. 0 0. .25. .5 .75 cumulative proportion of sample. 1. Lorenz curve 2.

(113) INEQUALITY INDICES, NO DEMOGRAPHIC WEIGHT ALL RURAL COMMUNES . inequal. CPIND. inequality measures of CPIND -----------------------------------------------------------------------------relative mean deviation .1531104 coefficient of variation .36701285 standard deviation of logs .48716412 Gini coefficient .20869541 Mehran measure .32021582 Piesch measure .1529352 Kakwani measure .04463721 Theil entropy measure .07444788 Theil mean log deviation measure .09322898 ------------------------------------------------------------------------------. NORTHERN REGION . inequal. CPIND if. REGION<3. inequality measures of CPIND -----------------------------------------------------------------------------relative mean deviation .16452245 coefficient of variation .38179454 standard deviation of logs .47355409 Gini coefficient .21659881 Mehran measure .32953252 Piesch measure .16013194 Kakwani measure .04669201 Theil entropy measure .0776762 Theil mean log deviation measure .09241558 ------------------------------------------------------------------------------. CENTRAL REGION . inequal. CPIND if. REGION<6 &. REGION>2. inequality measures of CPIND -----------------------------------------------------------------------------relative mean deviation .14947352 coefficient of variation .38487863 standard deviation of logs .58960337 Gini coefficient .21165252 Mehran measure .32655163 Piesch measure .15420295 Kakwani measure .05011845 Theil entropy measure .084774 Theil mean log deviation measure .11960289 ------------------------------------------------------------------------------. 3.

(114) SOUTHERN REGION . inequal. CPIND if. REGION>5. inequality measures of CPIND -----------------------------------------------------------------------------relative mean deviation .13862376 coefficient of variation .33132926 standard deviation of logs .3980379 Gini coefficient .18505806 Mehran measure .28955798 Piesch measure .1328081 Kakwani measure .03585963 Theil entropy measure .05854832 Theil mean log deviation measure .0676148 -----------------------------------------------------------------------------. lorenz CPIND. 4.

(115) INEQUALITY INDICES, WEIGHT: # HOUSEHOLDS ALL RURAL COMMUNES . inequal. CPIND [fw= S1Q04]. inequality measures of CPIND -----------------------------------------------------------------------------relative mean deviation .13509426 coefficient of variation .3252411 standard deviation of logs .4123663 Gini coefficient .18479409 Mehran measure .2846507 Piesch measure .13486576 Kakwani measure .03577681 Theil entropy measure .05883481 Theil mean log deviation measure .07077489 ------------------------------------------------------------------------------. NORTHERN REGION . inequal. CPIND if. REGION<3 [fw= S1Q04]. inequality measures of CPIND -----------------------------------------------------------------------------relative mean deviation .12839965 coefficient of variation .30433673 standard deviation of logs .36925286 Gini coefficient .1739491 Mehran measure .26587567 Piesch measure .12798581 Kakwani measure .03095998 Theil entropy measure .05071415 Theil mean log deviation measure .05888592 ------------------------------------------------------------------------------. CENTRAL REGION . inequal. CPIND if. REGION<6 &. REGION>2 [fw= S1Q04]. inequality measures of CPIND -----------------------------------------------------------------------------relative mean deviation .12134593 coefficient of variation .306475 standard deviation of logs .44294788 Gini coefficient .17553689 Mehran measure .26292676 Piesch measure .13184194 Kakwani measure .03267932 Theil entropy measure .05444637 Theil mean log deviation measure .07250243 ------------------------------------------------------------------------------. 5.

(116) SOUTHERN REGION . inequal. CPIND if. REGION>5 [fw= S1Q04]. inequality measures of CPIND -----------------------------------------------------------------------------relative mean deviation .1454273 coefficient of variation .34110567 standard deviation of logs .41512565 Gini coefficient .19220841 Mehran measure .29114382 Piesch measure .1427407 Kakwani measure .0394341 Theil entropy measure .06434994 Theil mean log deviation measure .07512335 ------------------------------------------------------------------------------. 6.

(117) INEQUALITY INDICES, WEIGHT: # INDIVIDUALS (POPULATION) ALL RURAL COMMUNES . inequal. CPIND [fw=. S1Q01]. inequality measures of CPIND -----------------------------------------------------------------------------relative mean deviation .13857508 coefficient of variation .33255324 standard deviation of logs .42131143 Gini coefficient .18884355 Mehran measure .29061383 Piesch measure .1379584 Kakwani measure .03737538 Theil entropy measure .06148653 Theil mean log deviation measure .07397301 ------------------------------------------------------------------------------. NORTHERN REGION . inequal. CPIND if. REGION<3 [fw=. S1Q01]. inequality measures of CPIND -----------------------------------------------------------------------------relative mean deviation .13995032 coefficient of variation .32477286 standard deviation of logs .39083004 Gini coefficient .18633129 Mehran measure .2820297 Piesch measure .13848208 Kakwani measure .03484566 Theil entropy measure .05730863 Theil mean log deviation measure .0662675 ------------------------------------------------------------------------------. CENTRAL REGION . inequal. CPIND if. REGION<6 &. REGION>2 [fw=. S1Q01]. inequality measures of CPIND -----------------------------------------------------------------------------relative mean deviation .12374636 coefficient of variation .31127703 standard deviation of logs .44930041 Gini coefficient .17747784 Mehran measure .26651732 Piesch measure .13295809 Kakwani measure .03367076 Theil entropy measure .05612927 Theil mean log deviation measure .07471267 ------------------------------------------------------------------------------. 7.

(118) SOUTHERN REGION . inequal. CPIND if. REGION>5 [fw=. S1Q01]. inequality measures of CPIND -----------------------------------------------------------------------------relative mean deviation .14543535 coefficient of variation .33982559 standard deviation of logs .41830112 Gini coefficient .19042068 Mehran measure .29040327 Piesch measure .14042938 Kakwani measure .03954641 Theil entropy measure .06438089 Theil mean log deviation measure .07576537 ------------------------------------------------------------------------------. 8.

(119) Appendix 6 Multidimensional Poverty Indices.

(120) Output from STATA 7.0, package POVDECO 1 POVERTY INDICES (FGT), NO DEMOGRAPHIC WEIGHT Poverty line 3176 . povdeco. CPIND , by ( BIGREG). pl(3176). Total number of observations = 120 Weighted total no. of observations = 120 Number of observations poor = 72 Weighted no. of obs poor = 72 Mean of CPIND amongst the poor = 2089.187 Mean of poverty gaps (poverty line - CPIND) amongst the poor =. 1086.813. Foster-Greer-Thorbecke poverty indices, FGT(a) ---------------------------------------------All obs | a=0 a=1 a=2 ----------+----------------------------------| 0.60000 0.20532 0.10072 ---------------------------------------------FGT(0): headcount ratio (proportion poor) FGT(1): average normalised poverty gap FGT(2): average squared normalised poverty gap Decompositions by subgroup -------------------------Summary statistics for subgroup k = 1,...,K ---------------------------------------------------------------------Regions | North | Central | South | Pop. share Mean Mean|poor Mean gap|poor ----------+----------------------------------------------------------NORTH | 0.42500 2817.01880 2040.16785 1135.83215 CENTRAL | 0.28333 2649.17651 2103.97119 1072.02881 SOUTH | 0.29167 2707.82544 2141.39209 1034.60779 ---------------------------------------------------------------------Subgroup FGT index estimates, FGT(a) ---------------------------------------------Regions | North | Central | South | a=0 a=1 a=2 ----------+----------------------------------NORTH | 0.56863 0.20336 0.09932 CENTRAL | 0.64706 0.21841 0.11275 SOUTH | 0.60000 0.19545 0.09107 ----------------------------------------------. 1. Full extracts from the Log file are produced, so that the reader can see exactly which command has been used. 1.

(121) Subgroup poverty 'share', S_k = v_k.FGT_k(a)/FGT(a) ---------------------------------------------Regions | North | Central | South | a=0 a=1 a=2 ----------+----------------------------------NORTH | 0.40278 0.42094 0.41908 CENTRAL | 0.30556 0.30140 0.31719 SOUTH | 0.29167 0.27766 0.26373 ---------------------------------------------Subgroup poverty 'risk' = FGT_k(a)/FGT(a) = S_k/v_k ---------------------------------------------Regions | North | Central | South | a=0 a=1 a=2 ----------+----------------------------------NORTH | 0.94771 0.99046 0.98608 CENTRAL | 1.07843 1.06376 1.11949 SOUTH | 1.00000 0.95196 0.90422. 2.

(122) POVERTY INDICES (FGT), NO DEMOGRAPHIC WEIGHT Poverty line 2282 . povdeco. CPIND , by (. BIGREG). pl(2282). Total number of observations = 120 Weighted total no. of observations = 120 Number of observations poor = 41 Weighted no. of obs poor = 41 Mean of CPIND amongst the poor = 1580.444 Mean of poverty gaps (poverty line - CPIND) amongst the poor =. 701.556. Foster-Greer-Thorbecke poverty indices, FGT(a) ---------------------------------------------All obs | a=0 a=1 a=2 ----------+----------------------------------| 0.34167 0.10504 0.04864 ---------------------------------------------FGT(0): headcount ratio (proportion poor) FGT(1): average normalised poverty gap FGT(2): average squared normalised poverty gap Decompositions by subgroup -------------------------Summary statistics for subgroup k = 1,...,K ---------------------------------------------------------------------Regions | North | Central | South | Pop. share Mean Mean|poor Mean gap|poor ----------+----------------------------------------------------------NORTH | 0.42500 2817.01880 1626.35779 655.64227 CENTRAL | 0.28333 2649.17651 1562.36780 719.63208 SOUTH | 0.29167 2707.82544 1514.89978 767.10010 ---------------------------------------------------------------------Subgroup FGT index estimates, FGT(a) ---------------------------------------------Regions | North | Central | South | a=0 a=1 a=2 ----------+----------------------------------NORTH | 0.37255 0.10704 0.04421 CENTRAL | 0.35294 0.11130 0.06411 SOUTH | 0.28571 0.09604 0.04007 ---------------------------------------------Subgroup poverty 'share', S_k = v_k.FGT_k(a)/FGT(a) ---------------------------------------------Regions | North | 3.

(123) Central | South | a=0 a=1 a=2 ----------+----------------------------------NORTH | 0.46341 0.43309 0.38631 CENTRAL | 0.29268 0.30022 0.37343 SOUTH | 0.24390 0.26669 0.24026 ---------------------------------------------Subgroup poverty 'risk' = FGT_k(a)/FGT(a) = S_k/v_k ---------------------------------------------Regions | North | Central | South | a=0 a=1 a=2 ----------+----------------------------------NORTH | 1.09039 1.01903 0.90896 CENTRAL | 1.03300 1.05961 1.31800 SOUTH | 0.83624 0.91436 0.82375 ----------------------------------------------. 4.

(124) POVERTY INDICES (FGT), WEIGHT: # INDIVIDUALS (POPULATION) Poverty line 3318 . povdeco. CPIND [fw= S1Q01] , by (. BIGREG). pl(3318). Total number of observations = 120 Weighted total no. of observations = 1043520 Number of observations poor = 82 Weighted no. of obs poor = 626298 Mean of CPIND amongst the poor = 2305.867 Mean of poverty gaps (poverty line - CPIND) amongst the poor =. 1012.133. Foster-Greer-Thorbecke poverty indices, FGT(a) ---------------------------------------------All obs | a=0 a=1 a=2 ----------+----------------------------------| 0.60018 0.18308 0.08632 ---------------------------------------------FGT(0): headcount ratio (proportion poor) FGT(1): average normalised poverty gap FGT(2): average squared normalised poverty gap Decompositions by subgroup -------------------------Summary statistics for subgroup k = 1,...,K ---------------------------------------------------------------------Regions | North | Central | South | Pop. share Mean Mean|poor Mean gap|poor ----------+----------------------------------------------------------NORTH | 0.33711 3050.76440 2292.89453 1025.10547 CENTRAL | 0.23535 3059.55420 2531.40796 786.59198 SOUTH | 0.42754 2717.91797 2183.73291 1134.26697 ---------------------------------------------------------------------Subgroup FGT index estimates, FGT(a) ---------------------------------------------Regions | North | Central | South | a=0 a=1 a=2 ----------+----------------------------------NORTH | 0.54165 0.16735 0.07395 CENTRAL | 0.65224 0.15463 0.06877 SOUTH | 0.61766 0.21115 0.10575 ---------------------------------------------Subgroup poverty 'share', S_k = v_k.FGT_k(a)/FGT(a) ---------------------------------------------Regions | 5.

(125) North | Central | South | a=0 a=1 a=2 ----------+----------------------------------NORTH | 0.30424 0.30813 0.28877 CENTRAL | 0.25577 0.19877 0.18749 SOUTH | 0.44000 0.49309 0.52374 ---------------------------------------------Subgroup poverty 'risk' = FGT_k(a)/FGT(a) = S_k/v_k ---------------------------------------------Regions | North | Central | South | a=0 a=1 a=2 ----------+----------------------------------NORTH | 0.90249 0.91406 0.85663 CENTRAL | 1.08674 0.84458 0.79664 SOUTH | 1.02914 1.15332 1.22499 ----------------------------------------------. 6.

(126) POVERTY INDICES (FGT), WEIGHT: # INDIVIDUALS (POPULATION) Poverty line 2282 . povdeco. CPIND [fw= S1Q01] , by (. BIGREG). pl(2282). Total number of observations = 120 Weighted total no. of observations = 1043520 Number of observations poor = 41 Weighted no. of obs poor = 280269 Mean of CPIND amongst the poor = 1597.013 Mean of poverty gaps (poverty line - CPIND) amongst the poor =. 684.987. Foster-Greer-Thorbecke poverty indices, FGT(a) ---------------------------------------------All obs | a=0 a=1 a=2 ----------+----------------------------------| 0.26858 0.08062 0.03513 ---------------------------------------------FGT(0): headcount ratio (proportion poor) FGT(1): average normalised poverty gap FGT(2): average squared normalised poverty gap Decompositions by subgroup -------------------------Summary statistics for subgroup k = 1,...,K ---------------------------------------------------------------------Regions | North | Central | South | Pop. share Mean Mean|poor Mean gap|poor ----------+----------------------------------------------------------NORTH | 0.33711 3050.76440 1790.05237 491.94754 CENTRAL | 0.23535 3059.55420 1647.62097 634.37909 SOUTH | 0.42754 2717.91797 1406.98962 875.01025 ---------------------------------------------------------------------Subgroup FGT index estimates, FGT(a) ---------------------------------------------Regions | North | Central | South | a=0 a=1 a=2 ----------+----------------------------------NORTH | 0.30275 0.06527 0.02381 CENTRAL | 0.21085 0.05861 0.03016 SOUTH | 0.27342 0.10484 0.04680 ---------------------------------------------Subgroup poverty 'share', S_k = v_k.FGT_k(a)/FGT(a) ---------------------------------------------Regions | 7.

(127) North | Central | South | a=0 a=1 a=2 ----------+----------------------------------NORTH | 0.38000 0.27291 0.22847 CENTRAL | 0.18476 0.17111 0.20206 SOUTH | 0.43524 0.55598 0.56947 ---------------------------------------------Subgroup poverty 'risk' = FGT_k(a)/FGT(a) = S_k/v_k ---------------------------------------------Regions | North | Central | South | a=0 a=1 a=2 ----------+----------------------------------NORTH | 1.12724 0.80956 0.67773 CENTRAL | 0.78505 0.72705 0.85854 SOUTH | 1.01800 1.30041 1.33197 ----------------------------------------------. 8.

(128) POVERTY INDICES (FGT), WEIGHT: # HOUSEHOLDS Poverty line 3321 . povdeco. CPIND [fw=. S1Q04] , by (. BIGREG). pl(3321). Total number of observations = 120 Weighted total no. of observations = 204088 Number of observations poor = 84 Weighted no. of obs poor = 126077 Mean of CPIND amongst the poor = 2384.168 Mean of poverty gaps (poverty line - CPIND) amongst the poor =. 936.832. Foster-Greer-Thorbecke poverty indices, FGT(a) ---------------------------------------------All obs | a=0 a=1 a=2 ----------+----------------------------------| 0.61776 0.17427 0.08044 ---------------------------------------------FGT(0): headcount ratio (proportion poor) FGT(1): average normalised poverty gap FGT(2): average squared normalised poverty gap Decompositions by subgroup -------------------------Summary statistics for subgroup k = 1,...,K ---------------------------------------------------------------------Regions | North | Central | South | Pop. share Mean Mean|poor Mean gap|poor ----------+----------------------------------------------------------NORTH | 0.38214 3133.01929 2366.46851 954.53156 CENTRAL | 0.23515 3106.21313 2571.24146 749.75854 SOUTH | 0.38271 2700.18066 2290.23730 1030.76282 ---------------------------------------------------------------------Subgroup FGT index estimates, FGT(a) ---------------------------------------------Regions | North | Central | South | a=0 a=1 a=2 ----------+----------------------------------NORTH | 0.51341 0.14756 0.06322 CENTRAL | 0.65181 0.14715 0.06487 SOUTH | 0.70103 0.21759 0.10720 ---------------------------------------------Subgroup poverty 'share', S_k = v_k.FGT_k(a)/FGT(a) ---------------------------------------------Regions | 9.

(129) North | Central | South | a=0 a=1 a=2 ----------+----------------------------------NORTH | 0.31759 0.32359 0.30035 CENTRAL | 0.24811 0.19857 0.18963 SOUTH | 0.43430 0.47784 0.51002 ---------------------------------------------Subgroup poverty 'risk' = FGT_k(a)/FGT(a) = S_k/v_k ---------------------------------------------Regions | North | Central | South | a=0 a=1 a=2 ----------+----------------------------------NORTH | 0.83108 0.84678 0.78595 CENTRAL | 1.05512 0.84443 0.80643 SOUTH | 1.13480 1.24858 1.33267 ----------------------------------------------. 10.

(130) POVERTY INDICES (FGT), WEIGHT: # HOUSEHOLDS Poverty line 2282 . povdeco. CPIND [fw=. S1Q04] , by (. BIGREG). pl(2282). Total number of observations = 120 Weighted total no. of observations = 204088 Number of observations poor = 41 Weighted no. of obs poor = 51575 Mean of CPIND amongst the poor = 1617.263 Mean of poverty gaps (poverty line - CPIND) amongst the poor =. 664.737. Foster-Greer-Thorbecke poverty indices, FGT(a) ---------------------------------------------All obs | a=0 a=1 a=2 ----------+----------------------------------| 0.25271 0.07361 0.03175 ---------------------------------------------FGT(0): headcount ratio (proportion poor) FGT(1): average normalised poverty gap FGT(2): average squared normalised poverty gap Decompositions by subgroup -------------------------Summary statistics for subgroup k = 1,...,K ---------------------------------------------------------------------Regions | North | Central | South | Pop. share Mean Mean|poor Mean gap|poor ----------+----------------------------------------------------------NORTH | 0.38214 3133.01929 1806.16345 475.83661 CENTRAL | 0.23515 3106.21313 1658.12451 623.87555 SOUTH | 0.38271 2700.18066 1421.48279 860.51727 ---------------------------------------------------------------------Subgroup FGT index estimates, FGT(a) ---------------------------------------------Regions | North | Central | South | a=0 a=1 a=2 ----------+----------------------------------NORTH | 0.26076 0.05437 0.01945 CENTRAL | 0.20025 0.05475 0.02814 SOUTH | 0.27691 0.10442 0.04624 ---------------------------------------------Subgroup poverty 'share', S_k = v_k.FGT_k(a)/FGT(a) ---------------------------------------------Regions | 11.

(131) North | Central | South | a=0 a=1 a=2 ----------+----------------------------------NORTH | 0.39432 0.28226 0.23411 CENTRAL | 0.18633 0.17488 0.20845 SOUTH | 0.41935 0.54286 0.55744 ---------------------------------------------Subgroup poverty 'risk' = FGT_k(a)/FGT(a) = S_k/v_k ---------------------------------------------Regions | North | Central | South | a=0 a=1 a=2 ----------+----------------------------------NORTH | 1.03186 0.73863 0.61262 CENTRAL | 0.79240 0.74369 0.88648 SOUTH | 1.09575 1.41847 1.45656 ---------------------------------------------. log close log: D:\Bureau de Québec\Projets\MIMAP-Vietnam-3\IneqPov1.smcl log type: smcl closed on: 26 Apr 2002, 16:18:00 -------------------------------------------------------------------------------. 12.

(132)

Multidimensional Poverty - Technical appendices

Tài liệu liên quan

Tài liệu bạn tìm kiếm đã sẵn sàng tải về