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The Effect of Household Characteristics on Living Standards in South Africa 1993 - 98: A Quantile Regression Analysis with Sample Attrition

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Author Info
Farshid Vahid ()
Pushkar Maitra ()

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Abstract

This paper examines whether the dismantling of apartheid has resulted in the 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. Despite the best efforts of the interview team, the attrition rate in this panel is around 16%. We find that household income and size in 1993, several community characteristics and survey quality in 1993 significantly affect the probability of attrition. 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. We argue that the stretch to the right of the upper tail of distribution can be attributed to significant increase in returns to primary and high school education, while movement to the left of the lower quantiles can be associated with the increase in the proportion of female headed households and household size.

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Paper provided by Australian National University, College of Business and Economics, School of Economics in its series ANUCBE School of Economics Working Papers with number 2005-452.

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Length: 39 pages
Date of creation: May 2005
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Handle: RePEc:acb:cbeeco:2005-452

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Find related papers by JEL classification:
I3 - Health, Education, and Welfare - - Welfare and Poverty
D1 - Microeconomics - - Household Behavior
C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models

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  1. Marianne Bertrand & Sendhil Mullainathan & Douglas Miller, 2003. "Public Policy and Extended Families: Evidence from Pensions in South Africa," World Bank Economic Review, Oxford University Press, vol. 17(1), pages 27-50, June.
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  2. Carter, Michael R. & May, Julian, 1999. "Poverty, livelihood and class in rural South Africa," World Development, Elsevier, vol. 27(1), pages 1-20, January. [Downloadable!] (restricted)
  3. 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. [Downloadable!]
    Other versions:
  4. Hausman, Jerry A & Wise, David A, 1979. "Attrition Bias in Experimental and Panel Data: The Gary Income Maintenance Experiment," Econometrica, Econometric Society, vol. 47(2), pages 455-73, March. [Downloadable!] (restricted)
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  6. Thomas, Duncan, 1996. "Education across Generations in South Africa," American Economic Review, American Economic Association, vol. 86(2), pages 330-34, May. [Downloadable!] (restricted)
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  7. Klasen, Stephan, 2000. "Measuring Poverty and Deprivation in South Africa," Review of Income and Wealth, Blackwell Publishing, vol. 46(1), pages 33-58, March.
  8. Jeffrey M. Wooldridge, 2002. "Inverse probability weighted M-estimators for sample selection, attrition and stratification," CeMMAP working papers CWP11/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies. [Downloadable!]
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  10. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January. [Downloadable!] (restricted)
  11. Mwabu, Germano & Schultz, T Paul, 1996. "Education Returns across Quantiles of the Wage Function: Alternative Explanations for Returns to Education by Race in South Africa," American Economic Review, American Economic Association, vol. 86(2), pages 335-39, May. [Downloadable!] (restricted)
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  12. Mwabu, Germano & Schultz, T Paul, 2000. "Wage Premiums for Education and Location of South African Workers, by Gender and Race," Economic Development and Cultural Change, University of Chicago Press, vol. 48(2), pages 307-34, January.
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  15. Case, Anne & Deaton, Angus, 1998. "Large Cash Transfers to the Elderly in South Africa," Economic Journal, Royal Economic Society, vol. 108(450), pages 1330-61, September. [Downloadable!] (restricted)
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  16. 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. [Downloadable!] (restricted)
  17. Deolalikar, A.B. & Evenson, R.E., 1988. "Technology Production And Technology Purchase In Indian Industry: An Econometric Analysis," Papers 556, Yale - Economic Growth Center.
  18. John A. Maluccio, 2004. "Using Quality of Interview Information to Assess Nonrandom Attrition Bias in Developing-Country Panel Data," Review of Development Economics, Blackwell Publishing, vol. 8(1), pages 91-109, 02. [Downloadable!] (restricted)
  19. Alderman, Harold & Watkins, Susan Cotts & Kohler, Hans-Peter & Maluccio, John A. & Behrman, Jere R., 2000. "Attrition in longitudinal household survey data," FCND briefs 96, International Food Policy Research Institute (IFPRI). [Downloadable!]
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  20. 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. [Downloadable!] (restricted)
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