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| Johannsen, Julia; Zeller, Manfred. |
| The measurement of per capita daily expenditures which are compared with a monetary poverty line is the most widely used approach regarding poverty assessment. It is, however, based on the implementation of time and cost-intensive household surveys and, therefore, not an operational method for targeting poor households with development services. The paper shows how to identify an alternative poverty assessment tool for Peru. It consists of a maximum of 15 powerful predictors of per-capita household expenditures selected out of a wide range of indicators from different poverty dimensions such as education, assets and housing characteristics. By applying the maximizing-R-squared regression technique to identify the best 5 to 15 predictors, we avoid an... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Poverty indicators; Targeting; Expenditure predictions; Percent point function; Peru; Food Security and Poverty; I3; C8. |
| Ano: 2006 |
URL: http://purl.umn.edu/25492 |
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| Houssou, Nazaire; Zeller, Manfred; Alcaraz V., Gabriela; Johannsen, Julia; Schwarze, Stefan. |
| This paper seeks to answer an operational development question: how best to target the poor? In their endeavor, policy makers, program managers, and development practitioners face the daily challenge of targeting policies, projects, and services at the poorer strata of the population. This is also the case for microfinance institutions that seek to estimate the poverty outreach among their clients. This paper addresses these challenges. Using household survey data from Uganda, we estimate four alternative models for improving the identification of the poor in the country. Furthermore, we analyze the model sensitivity to different poverty lines and test their validity using bootstrapped simulation methods. While there is bound to be some errors, no... |
| Tipo: Journal Article |
Palavras-chave: Uganda; Poverty assessment; Targeting; Proxy means tests; Validations; Bootstrap; Food Security and Poverty. |
| Ano: 2010 |
URL: http://purl.umn.edu/95780 |
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| Zeller, Manfred; Houssou, Nazaire; Alcaraz V., Gabriela; Schwarze, Stefan; Johannsen, Julia. |
| Developing accurate, yet operational poverty assessment tools to target the poorest households remains a challenge for applied policy research. This paper aims to develop poverty assessment tools for four countries: Bangladesh, Peru, Uganda, and Kazakhstan. The research applies the Principal Component Analysis (PCA) to seek the best set of variables that predict the household poverty status using easily measurable socio-economic indicators. Out of sample validations tests are performed to assess the prediction power of a tool. Finally, the PCA results are compared with those obtained from regressions models. In-sample estimation results suggest that the Quantile regression technique is the first best method in all four countries, except Kazakhstan. The PCA... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Poverty assessment; Targeting; Principal component analysis; Bangladesh; Peru; Kazakhstan; Uganda; Food Security and Poverty; H5; Q14; I3. |
| Ano: 2006 |
URL: http://purl.umn.edu/25396 |
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