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The effect of household characteristics on living standards in South Africa 1993-1998: a quantile regression analysis with sample attrition

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  • Farshid Vahid

    (School of Economics, Australian National University, ACT 0200, Australia)

  • Pushkar Maitra

    (Department of Economics, Monash University, Clayton Campus, VIC 3800, Australia)

Abstract

This paper examines whether the dismantling of apartheid has resulted in an improvement in the standard of living for the vast majority of South Africans. The study is based on a panel data set from the Kwazulu-Natal province. We use weighted quantile regressions to examine the distribution of standards of living, which corrects for the potential bias arising from non-random sample attrition. Our results show that there has been a significant increase in the spread of the distribution of household expenditure of the non-white households residing in Kwazulu-Natal province. Copyright © 2006 John Wiley & Sons, Ltd.

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Article provided by John Wiley & Sons, Ltd. in its journal Journal of Applied Econometrics.

Volume (Year): 21 (2006)
Issue (Month): 7 ()
Pages: 999-1018

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Handle: RePEc:jae:japmet:v:21:y:2006:i:7:p:999-1018

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  1. Julian MAY & Michael R. CARTER, 1997. "Poverty, Livelihood And Class In Rural South Africa," Staff Papers 408, University of Wisconsin Madison, AAE.
  2. Anne Case & Angus Deaton, 1999. "School Inputs And Educational Outcomes In South Africa," The Quarterly Journal of Economics, MIT Press, vol. 114(3), pages 1047-1084, August.
  3. Newey, Whitney K. & McFadden, Daniel, 1986. "Large sample estimation and hypothesis testing," Handbook of Econometrics, in: R. F. Engle & D. McFadden (ed.), Handbook of Econometrics, edition 1, volume 4, chapter 36, pages 2111-2245 Elsevier.
  4. Maitra, Pushkar & Ray, Ranjan, 2003. "The effect of transfers on household expenditure patterns and poverty in South Africa," Journal of Development Economics, Elsevier, vol. 71(1), pages 23-49, June.
  5. Marianne Bertrand & Sendhil Mullainathan & Douglas Miller, 2003. "Public Policy and Extended Families: Evidence from Pensions in South Africa," World Bank Economic Review, World Bank Group, vol. 17(1), pages 27-50, June.
  6. J. Fitzgerald & P. Gottschalk & R. Moffitt, . "An Analysis of Sample Attrition in Panel Data: The Michigan Panel Study of Income Dynamics," Institute for Research on Poverty Discussion Papers 1156-98, University of Wisconsin Institute for Research on Poverty.
  7. Klasen, Stephan, 2000. "Measuring Poverty and Deprivation in South Africa," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 46(1), pages 33-58, March.
  8. Moshe Buchinsky, 1998. "Recent Advances in Quantile Regression Models: A Practical Guideline for Empirical Research," Journal of Human Resources, University of Wisconsin Press, vol. 33(1), pages 88-126.
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Cited by:
  1. Martine Mariotti & Juergen Meinecke, 2009. "Nonparametric Bounds on Returns to Education in South Africa: Overcoming Ability and Selection Bias," ANU Working Papers in Economics and Econometrics 2009-510, Australian National University, College of Business and Economics, School of Economics.
  2. Essama-Nssah, B. & Bassole, Leandre, 2010. "A counterfactual analysis of the poverty impact of economic growth in Cameroon," Policy Research Working Paper Series 5249, The World Bank.
  3. Essama-Nssah, , B. & Bassol3, Leandre & Paul, Saumik, 2010. "Accounting for heterogeneity in growth incidence in Cameroon," Policy Research Working Paper Series 5464, The World Bank.

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