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Identifying the poor: a multiple indicator approach

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  • Abul Naga, Ramses H.

Abstract

The standard approach to the study of poverty assumes the existence of an ideal variable that captures the extent of deprivation. In this paper we postulate that poverty is involved with many dimensions. We use a latent variable framework to predict the extent of an individual's hardship as a function ?i =ax1i + bx2i +..., where the x's are indicators of i's income status, yi, and the latter variable is not observed.

Suggested Citation

  • Abul Naga, Ramses H., 1994. "Identifying the poor: a multiple indicator approach," LSE Research Online Documents on Economics 6621, London School of Economics and Political Science, LSE Library.
    • Handle: RePEc:ehl:lserod:6621
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    1. Lillard, Lee A & Willis, Robert J, 1978. "Dynamic Aspects of Earning Mobility," Econometrica, Econometric Society, vol. 46(5), pages 985-1012, September.
    2. Glewwe, Paul & van der Gaag, Jacques, 1990. "Identifying the poor in developing countries: Do different definitions matter?," World Development, Elsevier, vol. 18(6), pages 803-814, June.
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    7. Chaudhuri, Shubham & Ravallion, Martin, 1994. "How well do static indicators identify the chronically poor?," Journal of Public Economics, Elsevier, vol. 53(3), pages 367-394, March.
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    12. van Praag, Bernard M S & Hagenaars, Aldi J M & van Eck, Wim, 1983. "The Influence of Classification and Observation Errors on the Measurement of Income Inequality," Econometrica, Econometric Society, vol. 51(4), pages 1093-1108, July.
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    Cited by:

    1. Abul Naga, Ramses H., 2003. "The allocation of benefits under uncertainty: a decision-theoretic framework," Economic Modelling, Elsevier, vol. 20(4), pages 873-893, July.
    2. Susan Harkness, 2004. "Social and Political Indicators of Human Well-being," WIDER Working Paper Series RP2004-33, World Institute for Development Economic Research (UNU-WIDER).
    3. Kyriopoulos, Ilias & Nikoloski, Zlatko & Mossialos, Elias, 2019. "The impact of the Greek economic adjustment programme on household health expenditure," Social Science & Medicine, Elsevier, vol. 222(C), pages 274-284.
    4. Ramses H. ABUL NAGA, 1996. "Prediction and Sufficiency in the Model of Factor Analysis," Cahiers de Recherches Economiques du Département d'économie 9616, Université de Lausanne, Faculté des HEC, Département d’économie.
    5. Ramsès H. Abul Naga & Enrico Bolzani, 2006. "Poverty and Permanent Income: A Methodology for Cross-Section Data," Annals of Economics and Statistics, GENES, issue 81, pages 195-223.
    6. Riccardo Massari, 2005. "A Measure of Welfare Based on Permanent Income Hypothesis: An Application on Italian Households Budgets," Giornale degli Economisti, GDE (Giornale degli Economisti e Annali di Economia), Bocconi University, vol. 64(1), pages 55-92, September.

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    More about this item

    Keywords

    Poverty; latent variable; indicators;
    All these keywords.

    JEL classification:

    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • C39 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Other

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