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Use of household food insecurity scales for assessing poverty in Bangladesh and Uganda AgEcon
Alcaraz V., Gabriela; Zeller, Manfred.
An important dimension of poverty is access to food. Household food security implies access to the food needed for a healthy and productive life. Lack of access to and/or impaired utilization of food contribute to household food insecurity. This study compares the usefulness of a standardized food insecurity scale for determining the food insecurity status of rural and urban households in Bangladesh and Uganda, and for predicting poverty status. The analysis uses data from the IRIS Composite Survey Household Questionnaire (2004), which consists of 1,587 households (approximately 800 households in each country). The coping mechanisms adopted in the presence of food shortages represent the building blocks for the development of the scale (7 items). In order...
Tipo: Working or Discussion Paper Palavras-chave: Food insecurity scale; Poverty; Bangladesh; Uganda; Agricultural and Food Policy; Food Security and Poverty; I32; O11; Q18.
Ano: 2008 URL: http://purl.umn.edu/57164
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Insights from the Guatemalan food system: an application of exploratory spatial data analysis techniques for food security analysis AgEcon
Alcaraz V., Gabriela; Zeller, Manfred.
The achievement of food security for all remains one of the main development objectives worldwide. Most commonly, non-spatial models are developed for either explaining the underlying determinants of food insecurity and undernourishment or for predicting their changes, so as for identifying vulnerable groups for targeting support. Such approach ignores geographic determinants and the spatial dependency of food security and nutrition outcomes. This paper seeks to address this issue. We use nationally representative data from Guatemala, which faces high and rising rates of undernourishment and child stunting in spite of the efforts engaged on their reduction. Through exploratory spatial data analysis and overlay techniques, some elements embedded in the food...
Tipo: Conference Paper or Presentation Palavras-chave: Food-system; Spatial; Guatemala; Food Consumption/Nutrition/Food Safety; Food Security and Poverty; Research Methods/ Statistical Methods.
Ano: 2009 URL: http://purl.umn.edu/51488
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Developing Poverty Assessment Tools Based on Principal Component Analysis: Results from Bangladesh, Kazakhstan, Uganda, and Peru AgEcon
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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How Best to Target the Poor? An operational targeting of the poor using indicator-based proxy means tests AgEcon
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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Use of household food insecurity scales for assessing poverty in Bangladesh and Uganda. AgEcon
Alcaraz V., Gabriela; Zeller, Manfred.
An important dimension of poverty is access to food. Household food security implies access to the food needed for a healthy and productive life. Lack of access to and/or impaired utilization of food contribute to household food insecurity. This study compares the utility of a standardized food security scale for determining the food insecurity status of rural and urban households in Bangladesh and Uganda and for predicting poverty status. The analysis uses data from the IRIS Composite Survey Household Questionnaire (2004), which consists of 1,587 households (approximately 800 households in each country). The coping mechanisms adopted in the presence of food shortage represent the building blocks for development of the scale (7 items). In order to assess...
Tipo: Conference Paper or Presentation Palavras-chave: Food Consumption/Nutrition/Food Safety; Food Security and Poverty.
Ano: 2007 URL: http://purl.umn.edu/7939
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Proxy Means Tests for Targeting the Poorest Households -- Applications to Uganda AgEcon
Houssou, Nazaire; Zeller, Manfred; Alcaraz V., Gabriela; Schwarze, Stefan; Johannsen, Julia.
The motivation for this research stems from increasing interest showed for the issue of targeting. The paper explores the use of proxy means tests to identify the poorest households in Uganda. The set of indicators used in our model includes variables usually available in Living Standard Measurement Surveys (LSMS). Previous researches seeking to develop proxy means tests for poverty most often use Ordinary Least Squares (OLS) as regression method. In addition to the OLS, the paper explores the use of Linear Probability Model, Probit, and Quantile regressions for correctly predicting the household poverty status. A further innovation of this research compared to the existing literature is the use of out-of sample validation tests to assess the predictive...
Tipo: Conference Paper or Presentation Palavras-chave: Uganda; Poverty assessment; Targeting; Proxy means test; Out-of-sample test; Bootstrap; Consumer/Household Economics; Food Security and Poverty.
Ano: 2007 URL: http://purl.umn.edu/7946
Registros recuperados: 6
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