Hardcopy & Softcopy

Finding The Best Indicators to Identify The Poor

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Proxy-means testing (PMT) is a method used to assess household or individual welfare level based on a set of observable indicators. The accuracy, and therefore usefulness of PMT relies on the selection of indicators that produce accurate predictions of household welfare. In this paper I propose a method to identify indicators that are robustly and strongly correlated with household welfare, measured by per capita consumption. From an initial set of 340 candidate variables drawn from the Indonesian Family Life Survey, I identify the variables that contribute most significantly to model predictive performance and that are therefore desirable to be included in a PMT formula. These variables span the categories of household private asset holdings, access to basic domestic energy, education level, sanitation and housing. A comparison of the predictive performance of PMT formulas including 10, 20 and 30 of the best predictors of welfare shows that leads to recommending formulas with 20 predictors. Such parsimonious models have similar predictive performance as the PMT formulas currently used in Indonesia, although these latter are based on models of 32 variables on average.

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Ketersediaan

Informasi Detail

Judul Seri

Textbook dan Working Paper

No. Panggil

362.509598 BAH f

Penerbit

Jakarta : TPN2K., 2013

Deskripsi Fisik

PDF, 38 Halaman

Bahasa

English

ISBN/ISSN

-

Klasifikasi

362.509598

Tipe Isi

Hardcopy & Softcopy

Tipe Media

Hardcopy & Softcopy

Tipe Pembawa

-

Edisi

TNP2K Working Paper 01 – 2013

Subjek

Kemiskinan
Pengukuran kemiskinan

Info Detail Spesifik

-

Pernyataan Tanggungjawab

Bah Adama

Versi lain/terkait

Lampiran Berkas

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