Poverty Impact Analysis: Approaches and Methods - Chapter 5 ppsx

... house and others -0 . 356 - 0.000nopartner No husband/wife (widow, single, divorced) -0 .183 - 0.000pdip_0 Head’s husband/wife highest diploma: no diploma -0 . 153 - 0.000pdip_1 Head’s husband/wife ... tank/sewage pipes 0. 151 + 0.000toilet _5 Other types of toilet -0 .087 - 0.012wsource_1 Private tap 0. 152 + 0.000wsource_4 Constructed well -0 .064 - 0.021wsource _5 Simple soiled well -0 . 158 - 0.001Intercept ... Individual tap -0 .041 + 0. 652 prop_dep_t Dependent proportion -0 .1 95 - 0.000Hhsize Household size -0 . 153 - 0.000hage_t Head’s age 0. 151 + 0.000lnagriland Natural logarithm of agricultural land area...

Poverty Impact Analysis: Approaches and Methods - Chapter 6 ppsx

... DISTANCP0 -0 .36 0.49 -0 .37 -0 .62 -0 .36 -0 .44 -0 .42 -0 . 45 0.73 -0 .58 -0 . 45 0.37DENSITY -0 .82 0.61 0.61 0. 65 0.76 0.81 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 ... 0.84 -0 .44 0.81 0. 65 -0 .51 TV0. 75 0.78 0.72 0.82 -0 .64 0.87 0.67 -0 .55 SCSCH0.93 0.76 0.87 -0 .41 0. 75 0.63 -0 .60HGSCH0.89 0.94 -0 .47 0.74 0.73 -0 .71HOSPIT0.91 -0 .43 0.64 0.76 -0 .73URBAN -0 .48 ... 24.1 22.7 25. 4 2.7 0. 055 46South Sumatera 26 .5 25. 2 27.8 2.6 0.03620Bengkulu 19 .5 18.1 20.8 2.7 0.06613Lampung 26.6 25. 4 27.9 2 .5 0.034 75 Bangka Belitung 19.4 17.3 21 .5 4.2 0.0 854 9Banten 12.2...

Poverty Impact Analysis: Approaches and Methods - Chapter 0 docx

... summary.Application of Tools to Identify the Poor26 Poverty Impact Analysis: Approaches and Methods for expenditure and, therefore, for poverty. This proxy is based on easy-to-collect variables derived from household ... rural areas and among the unemployed, self-employed and rural low-educated(continued on next page)Application of Tools to Identify the Poor20 Poverty Impact Analysis: Approaches and Methods The ... Poor18 Poverty Impact Analysis: Approaches and Methods projects can affect employment levels and wages. In commodity markets, changes may be reﬂ ected in the ﬂ uctuations of supply and demand of...

Poverty Impact Analysis: Approaches and Methods - Chapter 1 pdf

... pump 0.1 15 0.867 0.340 0.34this household owns a cow -0 . 055 0.019 0.137 -0 .40this household owns a goat -0 .048 0.019 0.1 35 -0 . 35 this household owns chicken -0 . 053 0. 152 0. 359 -0 . 15 this household ... PoorActualNonpoor94.62 5. 38Poor 51 .55 48. 45 Percentage of Rural Poverty PredictedNonpoor PoorActualNonpoor 95. 60 4.40Poor66 .52 33.48Source: Authors’ calculation. Poverty Impact Analysis: Tools and Applications ... household is more than 0 .5 -0 .014 0.113 0.317 -0 . 05 household head is working 0.040 0.923 0.267 0. 15 spouse is working 0.028 0 .50 1 0 .50 0 0.06household head is married 0.1 15 0. 855 0. 352 0.33household...

Poverty Impact Analysis: Approaches and Methods - Chapter 2 pdf

... 0.96881**(2. 152 9)Dummy Variable for Regencydummy variable for regency(1 = Bogor, 0 = otherwise) -4 . 259 8* (-3 .7720)0 .57 29*(2.8348) - Constant -1 0. 751 8* -4 .3221) -2 7.7208* ( -5 . 157 8) -1 5. 9 654 * (-6 .9889)Goodness ... 0.0249***(1.9341)household size(in person)1.2020*(3. 657 0)1.1673*(4 .50 25) 0.86228* (5. 1340)household members at school(in person) -1 .1316** (-2 .3962) - -0 .58 246** (-2 .1169)average household education not ... Poor Nonpoor TotalRural 25. 8 24.2 50 .0 36.2 13.8 50 .0 30.1 19.9 50 .0Urban22.9 27.1 50 .0 22.4 27.6 50 .0 28.0 22.0 50 .0Rural+Urban48.7 51 .3 100.0 58 .7 41.3 100.0 58 .2 41.8 100.0SUSENAS =...

Poverty Impact Analysis: Approaches and Methods - Chapter 3 pps

... 1.99 0 .50 294 b72 1.16 0.86201_Ipro _52 1.97 0 .50 793 b3 1.16 0.86441landpc 1.83 0 .54 774 b17 1.16 0.86489spouse 1.71 0 .58 5 35 a50 1. 15 0.87 159 _Ipro_ 45 1.70 0 .58 956 a57 1.14 0.87478b20 1. 65 0.60720 ... 0.89794a 15 1.62 0.61848 b3 1.10 0.9 050 9b20 1.61 0.62231 _Ipro_22 1.10 0.90640c5 1 .59 0.62 851 b7 1.10 0.91096_Ipro_ 45 1 .58 0.63247 b8 1.08 0.92897_Ipro_42 1 .53 0. 653 62 b45pc 1.07 0.93294landpc 1 .52 ... 0.000_Ipro _52 Guizhou -1 .497 0.111 0.000_Ipro _53 Yunnan -0 .699 0.0 95 0.001_Ipro_62 Gansu -0 .304 0.094 0.000_Ipro_63 Qinghai -1 . 359 0.192 0.000_Ipro_64 Ningxia -0 .879 0.197 0.000_Ipro_ 65 Xinjiang -1 .629...

Poverty Impact Analysis: Approaches and Methods - Chapter 4 ppt

... + 2.13 2.74 -4 .52 Distance to the nearby market (kilometers) + 2.44 2.80 -2 .59 Natural disaster occurs in the village - 0. 85 0 .52 5. 85 Village designated as poor by the National Poverty Reduction ... Bao Hu) - 0.00 0.00 - Participates in cooperative medical service - 0.06 0.00 2.48Has insurance + 0.37 0.11 5. 00Asset OwnershipHas big animals - 0.69 0. 65 0. 65 Has pigs + 0.68 0.90 -4 .53 Has ... before the start of any poverty reduction project or program. Poverty Impact Analysis: Tools and Applications Chapter 4 123Table 4.7 Mean of Poverty Predictors and T-Statistics of the Mean...

Poverty Impact Analysis: Approaches and Methods - Chapter 7 pot

... 2.664 -0 .823Banking and Insurance -1 .1 05 1.407 -0 .7 85 Hotels -0 .761 1.199 -0 .6 35 Textiles -6 .686 11.103 -0 .602Other Transportation and Communication -0 .56 5 1.096 -0 .51 6Mining -0 .8 75 2.698 -0 .324Utilities ... 6.780 -1 .1 25 Chemicals 6.823 -6 .58 4 -1 .036Construction -2 .203 2.170 -1 .0 15 Paper and Metals -9 .313 9.361 -0 .9 95 Public Services -2 .607 2.672 -0 .976Trades -2 6.870 29.631 -0 .907Land Transport -2 .192 ... 45. 7 0.23 0 .55 0.01 106.46 0.29Trades 54 ,57 0.8 9 .55 3769.46 23.61 2 959 .4 14.69 5. 42 0 .52 78 .51 18 .54 Restaurants 18,428.3 3.22 799.43 5. 01 10 25. 1 5. 09 5. 56 0.18 128.23 6.42Hotels 3, 452 .2 0.60...

Poverty Impact Analysis: Approaches and Methods - Chapter 8 ppt

... by1% 5% 1% 5% 1% 5% 1% 5% 1 -0 .23 -1 . 15 -0 .20 -0 .98 0. 05 0. 25 0.12 0.622 -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 1.144 -0 .41 -2 .01 -0 .32 -1 .59 0.04 ... 1.17 5 -0 .29 -1 .43 -0 .30 -1 .47 0.03 0.17 0.26 1.336 -0 .32 -1 .59 -0 .31 -1 .53 0.04 0.17 0.30 1 .52 7 -0 .31 -1 .54 -0 .32 -1 .57 0.03 0.13 0.33 1.668 -0 .39 -1 .94 -0 .38 -1 .86 0.03 0.17 0.37 1.899 -0 .36 ... Diversiﬁed1 0.1 15 -1 .51 7 -1 .13 0.214 0.2612 0.233 -1 .406 -1 .047 0.2 65 0.3173 0.201 -0 .9 85 -0 .909 0.268 0.2984 0.224 -1 .330 -0 .929 0.319 0.282 5 0.244 -0 .996 -0 .704 0.266 0.2906 0. 256 -0 .904 -0 .694...

Poverty Impact Analysis: Approaches and Methods - Chapter 9 pptx

... -0 .12——— -0 .1 3-0 .1 5- 0 .1 3-0 .1 1-0 .0 8-0 .0 9-0 .0 5- 0 .04 -0 .09 -0 .07 0.01 -0 .04Construction -0 .23——— -0 .2 4-0 .2 6-0 .2 4-0 .2 2-0 .1 9-0 .2 0-0 .1 6-0 . 15 -0 .20 -0 .18 -0 .10 -0 . 15 Trade -0 .03——— -0 .1 0-0 .1 2-0 .1 0-0 .0 9-0 .0 5- 0 .0 6-0 .0 2-0 .01 ... -1 .13 -0 .89 -0 . 95 -0 .98 -1 .00 -1 .36 -2 .00 -1 . 45 -1 .60 -2 .18 -2 .11 -1 .60 -1 .42 -2 .72 -2 .22 -1 .40 -1 . 15 Fisheries 0.38 0.48 0.41 0.39 0.37 0.00 -0 . 65 -0 .09 -0 .24 -0 .83 -0 .76 -0 . 25 -0 .06 -1 .38 -0 .87 ... DemandLL1L2L3L4L5L6L7L8L9L10L11L12L13L14L15L16Food Crops -0 .06 -0 .07 -0 .11 -0 . 05 -0 .06 -0 .49 -0 .52 -0 .50 -0 .48 -0 . 45 -0 . 45 -0 .42 -0 .41 -0 .46 -0 .44 -0 .36 -0 .41Other Crops -0 .07 -0 . 05 -0 .09 -0 .03...

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