Poverty comparisons with dependent samples

Buhong Zheng
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Buhong Zheng: Department of Economics, University of Colorado at Denver, USA, Postal: Department of Economics, University of Colorado at Denver, USA

Journal of Applied Econometrics, 2004, vol. 19, issue 3, 419-428

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.

Date: 2004
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DOI: 10.1002/jae.779

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