Accuracy Results for 14 Poverty Assessment Tool Countries
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1 Developing Assessment Tools Project Results for 14 Assessment Tool Countries The IRIS Center July 10, 2007 A Brief Note on the Notation and Content of the Tables For ten of the fourteen countries below, the national poverty is used to classify the very poor (with very poor defined as the bottom 50% below the national poverty line). For the remaining four countries Bangladesh, India (Bihar and Uttar Pradesh regions), Madagascar, and Uganda the international poverty line of $1.08 per day (in local purchasing power parity terms) is used in generating the accuracy figures. The type of poverty line used for each country will be noted next to its name and the poverty rate it implies will be listed under the country s name. All results are based on models with controls plus 15 best predictors. In the case of a two-step model, there are 15 best predictors for each of the steps of the procedure. The best model for each country is in bold. Full details on the poverty accuracy criteria, including PIE and BPAC, can be found in the accompanying document, Note on Assessment and Improvement of Tool.
2 Albania (median) Line: 4,024 leke per person per month Rate: 10.4% OLS (estimation point: 31) Linear Probability Probit OLS 19 percentile cutoff Quantile (estim. points: 31, 6) percentile cutoff LP 23 percentile cutoff Probit 23 percentile cutoff Bangladesh (PPP) Line: taka per person per day Rate: 31.4% OLS (estimation point: 43) Linear Probability Probit OLS 49 percentile cutoff Quantile (estimation points: , 24) 49 percentile cutoff LP 50 percentile cutoff Probit 50 percentile cutoff
3 Colombia (median) Line: varies by location, pesos per person per month Rate: 25.7% OLS (estimation point: 39) Linear Probability Probit OLS 48 percentile cutoff Quantile (estimation points: , 20) 48 percentile cutoff LP 37 percentile cutoff Probit 37 percentile cutoff Ghana (median) Line: cedis per person per year Rate: 13.4% OLS (estimation point: 35) Linear Probability Probit OLS 23 percentile cutoff Quantile (estimation points: , 9) 23 percentile cutoff LP 28 percentile cutoff Probit 28 percentile cutoff
4 Guatemala (median) Line: 2680 quetzals per person per month Rate: 23.0% OLS (estimation point: 44) Linear Probability Probit OLS 40 percentile cutoff Quantile (estimation points: , 19) 40 percentile cutoff LP 35 percentile cutoff Probit 35 percentile cutoff India (PPP) Line: 3,970 rupees per person per year Rate: 77.9% OLS (estimation point: 66) Linear Probability Probit OLS 78 percentile cutoff Quantile (estimation points: , 30) 78 percentile cutoff LP 78 percentile cutoff Probit 78 percentile cutoff
5 Indonesia (median) Lines: 82,474 (rural), 110,365 (urban) Rate: 7.7% OLS (estimation point: 27) Linear Probability Probit OLS 88 percentile cutoff Quantile (estimation points: , 25) 88 percentile cutoff LP 27 percentile cutoff Probit 27 percentile cutoff Jamaica (median) Line: 24,888 Jamaican dollars per person per month Rate: 8.0% OLS (estimation point: 32) Linear Probability Probit OLS 24 percentile cutoff Quantile (estimation points: , 8) 24 percentile cutoff LP 23 percentile cutoff Probit 23 percentile cutoff
6 Kazakhstan (median) Line: varies by oblast, tenge per person per day Rate: 4.5% OLS (estimation point: 21) Linear Probability Probit OLS 20 percentile cutoff Quantile (estim. points: 21, 4) percentile cutoff LP 24 percentile cutoff Probit 24 percentile cutoff Madagascar (PPP) Line: 719,562 Malagasy francs per person per year Rate: 35.2% OLS (estimation point: 53) Linear Probability Probit OLS 51 percentile cutoff Quantile (estimation points: , 23) 51 percentile cutoff LP 47 percentile cutoff Probit 47 percentile cutoff
7 Peru (median) Line: varies by sampling area, soles per person per year Rate: 26.9% OLS (estimation point: 41) Linear Probability Probit OLS 57 percentile cutoff Quantile (estimation points: , 23) 57 percentile cutoff LP 60 percentile cutoff Probit 60 percentile cutoff Tajikistan (median) Line: 12,329 Tajik rubles per person per month Rate: 47.3% OLS (estimation point: 51) Linear Probability Probit OLS 50 percentile cutoff Quantile (estimation points: , 22) 50 percentile cutoff LP 49 percentile cutoff Probit 49 percentile cutoff
8 Uganda (PPP) Line: 665 Uganda schillings per person per day Rate: 32.4% OLS (estimation point: 45) Linear Probability Probit OLS 51 percentile cutoff Quantile (estimation points: , 24) 51 percentile cutoff LP 44 percentile cutoff Probit 44 percentile cutoff Vietnam (median) Line: 1,393,582 Vietn. dong per person per month Rate: 14.5% OLS (estimation point: 38) Linear Probability Probit OLS 30 percentile cutoff Quantile (estimation points: , 12) 30 percentile cutoff LP 30 percentile cutoff Probit 30 percentile cutoff
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Population below the poverty line Rural % Population below $1 a day % Urban % Urban % Survey year. National %
2.7 International the the Afghanistan.................... Albania 2002 29.6 19.8 25.4...... 2002 a
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