Poverty Impact Analysis: Approaches and Methods - Chapter 0 docx

... et al. ( 200 0); Cockburn ( 200 2); and Cororaton ( 200 3a and 200 3b). INTRODUCTION Poverty Impact Analysis: Approaches and Methods Introduction Background At the start of this century, poverty remains ... Impact Analysis: Approaches and Methods Table 3 continued Country India Thailand China Philippines Model Naastepad ( 200 3) Wattanakuljarus ( 200 6) Zhang (1998...

Ngày tải lên: 08/08/2014, 10:23

... pump -0 .168** -0 .149** [0. 047] [0. 022] Household Characteristics household head age -0 .02 8** -0 .03 2** [0. 008 ] [0. 005 ] household head age squared 0. 000 ** 0. 000 ** [0. 000 ] [0. 000 ] spouse age -0 .00 2** [0. 001 ] household ... age 0. 015** [0. 002 ] household head age squared -0 .00 0** [0. 000 ] spouse age -0 .01 6** [0. 002 ] spouse age squared 0. 00...

Ngày tải lên: 08/08/2014, 10:23

... -1 0. 7518* -4 .3221) -2 7.7 208 * (-5 .1578) -1 5.9654* (-6 .9889) Goodness of fit 0. 9 306 9 0. 93 506 . 909 93 Pseudo R-squared 0. 663 90 0.75 600 .66315 Numbers of Observation 202 231 433 *** Significant at 10% ; ** Significant ... 50. 0 36.2 13.8 50. 0 30. 1 19.9 50. 0 Urban 22.9 27.1 50. 0 22.4 27.6 50. 0 28 .0 22 .0 50. 0 Rural+Urban 48.7 51.3 100 .0 58.7 41.3 10...

Ngày tải lên: 08/08/2014, 10:23

... Cultivated land per capita -0 .04 0 0. 007 0. 000 b45pc Forest land per capita -0 .04 6 0. 012 0. 000 b47pc Grassland areas per capita -0 .00 9 0. 001 0. 000 b49pc Wasteland areas per capita -0 .09 1 0. 022 0. 000 Activities ... Jiangxi 0. 303 0. 017 0. 000 _Ipro_41 Henan 0. 147 0. 014 0. 000 _Ipro_42 Hubei 0. 388 0. 016 0. 000 _Ipro_43 Hunan 0. 352 0. 017 0...

Ngày tải lên: 08/08/2014, 10:23

... head 7. 50 20. 60 71. 90 100 .00 Enumerator 5. 50 19. 40 75. 10 100 .00 Neighbor 7. 50 20. 70 71. 80 100 .00 Respondent: based on income 10. 70 76. 70 12. 60 100 .00 Respondent: based on expenditure 19. 40 74. 20 6. 40 ... + 0. 65 0. 28 6.25 Has no income sources (Wu Bao Hu) - 0. 00 0 .00 - Participates in cooperative medical service - 0. 06 0. 00 2.48 H...

Ngày tải lên: 08/08/2014, 10:23

... 26.6 6.7 0. 1 0. 0 20. 0 2 24.6 44.1 25.9 5.4 0. 0 20. 0 3 7.5 20. 8 39.6 27.4 4.6 20. 0 4 1.2 7.4 23.6 42 .0 25.9 20. 0 5 0. 1 1 .0 4.2 25.2 69.5 20. 0 Total 100 .0 100 .0 100 .0 100 .0 100 .0 100 .0 Validation ... Quintiles 1 67 .0 27.1 5.2 0. 7 0. 0 20. 0 2 24.8 41.2 28.6 5.1 0. 3 20. 0 3 6.4 24 .0 39.6 25.3 4.6 20. 0 4 1.9 6.8 22.1 43.4 25.8 20. 0 5 0. 0 0. 9 4.3 25.5 6...

Ngày tải lên: 08/08/2014, 10:23

... 0. 87 -0 .37 0. 55 0. 72 -0 .56 AGRIC -0 .79 -0 .81 -0 .81 -0 .91 -0 . 90 -0 .97 0. 50 -0 .73 -0 .76 0. 71 TELCOM 0. 78 0. 86 0. 83 0. 68 0. 84 -0 .44 0. 81 0. 65 -0 .51 TV 0. 75 0. 78 0. 72 0. 82 -0 .64 0. 87 0. 67 -0 .55 SCSCH 0. 93 ... -0 .55 SCSCH 0. 93 0. 76 0. 87 -0 .41 0. 75 0. 63 -0 . 60 HGSCH 0. 89 0. 94 -0 .47 0. 74...

Ngày tải lên: 08/08/2014, 10:23

... high-income group -0 .9 80 0 .00 0. 00 2 30 0. 50 0.73 5276 11.56 15.11 Urban low-income group 5 .05 5 0. 02 0. 02 82 0. 33 0. 38 1 900 7.54 8.31 Urban dependent–income group 0. 313 0. 00 0 .01 28 0. 43 0. 53 600 ... farmer -1 5.532 -0 .09 -0 .11 132 0. 73 0. 97 2 308 12.76 15 .04 Rural low-income group 0. 801 0. 01 0. 01 72 0. 50 0.59 1427 9.97 10. 67 Rural dep...

Ngày tải lên: 08/08/2014, 10:23

... -0 .23 -1 .15 -0 . 20 -0 .98 0. 05 0. 25 0. 12 0. 62 2 -0 . 30 -1 .49 -0 .27 -1 .34 0. 04 0. 17 0. 21 1 .05 3 -0 .24 -1 .18 -0 .31 -1 .55 0. 03 0. 15 0. 23 1.14 4 -0 .41 -2 .01 -0 .32 -1 .59 0. 04 0. 20 0.23 1.17 5 -0 .29 -1 .43 ... -0 . 30 -1 .47 0. 03 0. 17 0. 26 1.33 6 -0 .32 -1 .59 -0 .31 -1 .53 0. 04 0. 17...

Ngày tải lên: 08/08/2014, 10:23

... -0 .04 ——— -0 .0 9 -0 .1 1 -0 .0 9 -0 .0 7 -0 .0 4 -0 .0 5 -0 .01 0 .0 0- 0 .05 -0 .03 0. 05 0. 00 Real Estate -0 .04 ——— -0 .0 8 -0 .1 0- 0 .0 8 -0 .0 7 -0 .0 4 -0 .0 4 -0 .01 0 .0 1 -0 .05 -0 .03 0. 05 0. 00 Personal Services -0 .09 ——— -0 .1 1 -0 .1 3 -0 .1 1 -0 .1 0- 0 .0 7 -0 .0 7 -0 .0 4 -0 .02 ... -0 .12——— -0 .1 3 -0 .1 5...

Ngày tải lên: 08/08/2014, 10:23