Negative Net Incomes and the Measurement of Poverty: A Note
AbstractThis note warns about the careless computation of poverty indexes when the welfare of each household is measured by its net income, since this can be negative. As is illustrated in the case of Mexico, even if only a handful of households report negative incomes, the resulting poverty aggregates, when they go beyond a mere headcount measure, can behave rather badly. The note ends with suggestions on how to deal with the problem.
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Bibliographic InfoArticle provided by Tecnológico de Monterrey, Campus Ciudad de México in its journal Revista de Administración, Finanzas y Economía (Journal of Management, Finance and Economics).
Volume (Year): 3 (2009)
Issue (Month): 1 ()
Poverty measures; poverty indexes; negative income; income and expenditure survey; Mexico;
Other versions of this item:
- Sandoval, Héctor H. & Urzúa, Carlos M., 2007. "Negative Net Incomes and the Measurement of Poverty: A Note," EGAP Working Papers 2007-07, Tecnológico de Monterrey, Campus Ciudad de México.
- I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
- C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Kakwani, Nanak, 1993. "Statistical Inference in the Measurement of Poverty," The Review of Economics and Statistics, MIT Press, vol. 75(4), pages 632-39, November.
- Foster, James & Greer, Joel & Thorbecke, Erik, 1984. "A Class of Decomposable Poverty Measures," Econometrica, Econometric Society, vol. 52(3), pages 761-66, May.
- Sen, Amartya K, 1976. "Poverty: An Ordinal Approach to Measurement," Econometrica, Econometric Society, vol. 44(2), pages 219-31, March.
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