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Poverty comparisons with dependent samples

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  • Buhong Zheng

    (Department of Economics, University of Colorado at Denver, USA)

Abstract

Standard inference procedures for poverty comparisons require samples to be independent. For many commonly used income samples, however, this requirement is not fulfilled since samples are rotated. This article introduces an easy-to-use method of correction for sample dependency. We also apply the method to test changes in US poverty in the 1990s and to evaluate the marginal effects of public assistance on poverty before and after the recent welfare reform. Copyright © 2004 John Wiley & Sons, Ltd.

Suggested Citation

  • Buhong Zheng, 2004. "Poverty comparisons with dependent samples," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(3), pages 419-428.
    • Handle: RePEc:jae:japmet:v:19:y:2004:i:3:p:419-428
    DOI: 10.1002/jae.779
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    References listed on IDEAS

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    7. repec:bla:jecsur:v:11:y:1997:i:2:p:123-62 is not listed on IDEAS
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    Cited by:

    1. Michal Brzezinski, 2015. "Accounting for trends in health poverty: a decomposition analysis for Britain, 1991–2008," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 16(2), pages 153-159, March.
    2. James Westfall & Christopher Woodall & Mark Hatfield, 2013. "A statistical power analysis of woody carbon flux from forest inventory data," Climatic Change, Springer, vol. 118(3), pages 919-931, June.
    3. James Foster & Joel Greer & Erik Thorbecke, 2010. "The Foster–Greer–Thorbecke (FGT) poverty measures: 25 years later," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 8(4), pages 491-524, December.
    4. James E. Foster & Joel Greer & Erik Thorbecke, 2010. "The Foster-Greer-Thorbecke (FGT) Poverty Measures: Twenty-Five Years Later," Working Papers 2010-14, The George Washington University, Institute for International Economic Policy.

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