IDEAS home Printed from https://ideas.repec.org/a/wly/japmet/v21y2006i7p999-1018.html
   My bibliography  Save this article

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

Author

Listed:
  • Pushkar Maitra
  • Farshid Vahid

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.

Suggested Citation

  • Pushkar Maitra & Farshid Vahid, 2006. "The effect of household characteristics on living standards in South Africa 1993–1998: a quantile regression analysis with sample attrition," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(7), pages 999-1018, November.
  • Handle: RePEc:wly:japmet:v:21:y:2006:i:7:p:999-1018
    DOI: 10.1002/jae.853
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/jae.853
    Download Restriction: no

    File URL: https://libkey.io/10.1002/jae.853?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. O'Connell, Philip J. & Russell, Helen & FitzGerald, John, 2006. "Human Resources," Book Chapters, in: Morgenroth, Edgar (ed.),Ex-Ante Evaluation of the Investment Priorities for the National Development Plan 2007-2013, Economic and Social Research Institute (ESRI).
    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.
    3. Anne Case & Angus Deaton, 1999. "School Inputs and Educational Outcomes in South Africa," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(3), pages 1047-1084.
    4. Case, Anne & Deaton, Angus, 1998. "Large Cash Transfers to the Elderly in South Africa," Economic Journal, Royal Economic Society, vol. 108(450), pages 1330-1361, September.
    5. John Fitzgerald & Peter Gottschalk & Robert Moffitt, 1998. "An Analysis of Sample Attrition in Panel Data: The Michigan Panel Study of Income Dynamics," Journal of Human Resources, University of Wisconsin Press, vol. 33(2), pages 251-299.
    6. Marianne Bertrand & Sendhil Mullainathan & Douglas Miller, 2003. "Public Policy and Extended Families: Evidence from Pensions in South Africa," The World Bank Economic Review, World Bank, vol. 17(1), pages 27-50, June.
    7. 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.
    8. 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.
    9. Stephen Klasen, 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.
    10. John Maluccio & Lawrence Haddad & Julian May, 2000. "Social capital and household welfare in South Africa, 1993-98," Journal of Development Studies, Taylor & Francis Journals, vol. 36(6), pages 54-81.
    11. 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.
    12. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    13. Jeffrey M. Wooldridge, 2002. "Inverse probability weighted M-estimators for sample selection, attrition, and stratification," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 1(2), pages 117-139, August.
    14. Thomas, Duncan, 1996. "Education across Generations in South Africa," American Economic Review, American Economic Association, vol. 86(2), pages 330-334, May.
    15. Buchinsky, Moshe, 1995. "Estimating the asymptotic covariance matrix for quantile regression models a Monte Carlo study," Journal of Econometrics, Elsevier, vol. 68(2), pages 303-338, August.
    16. John A. Maluccio, 2004. "Using Quality of Interview Information to Assess Nonrandom Attrition Bias in Developing‐Country Panel Data," Review of Development Economics, Wiley Blackwell, vol. 8(1), pages 91-109, February.
    17. Stephan Klasen, 1997. "Poverty, Inequality and Deprivation in South Africa: An Analysis of the 1993 SALDRU Survey," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 41(1), pages 51-94, July.
    18. Jeffrey M. Wooldridge, 2002. "Inverse probability weighted M-estimators for sample selection, attrition, and stratification," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 1(2), pages 117-139, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Graham J. McKee & Steven G. Rivkin & Katharine R.E. Sims, 2010. "Disruption, Achievement and the Heterogeneous Benefits of Smaller Classes," NBER Working Papers 15812, National Bureau of Economic Research, Inc.
    2. 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.
    3. Harding, Matthew & Lamarche, Carlos, 2019. "A panel quantile approach to attrition bias in Big Data: Evidence from a randomized experiment," Journal of Econometrics, Elsevier, vol. 211(1), pages 61-82.
    4. Quang Tran, Tuyen & Anh Tran, Tai & The Tran, Nu & Thi Nguyen, Hai, 2018. "Education and the livelihood of households in the Northwest Region, Vietnam," MPRA Paper 90414, University Library of Munich, Germany, revised 17 May 2018.
    5. Bassol3, Leandre & Essama-Nssah, B. & Paul,Saumik, 2010. "Accounting for heterogeneity in growth incidence in Cameroon," Policy Research Working Paper Series 5464, The World Bank.
    6. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Farshid Vahid & Pushkar Maitra, 2005. "The Effect of Household Characteristics on Living Standards in South Africa 1993 - 98: A Quantile Regression Analysis with Sample Attrition," ANU Working Papers in Economics and Econometrics 2005-452, Australian National University, College of Business and Economics, School of Economics.
    2. Pushkar Maitra, 2002. "The Effect of Household Characteristics on Poverty and Living Standards in South Africa," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 27(1), pages 75-96, June.
    3. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
    4. 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.
    5. Paul Contoyannis & Andrew M. Jones & Nigel Rice, 2004. "The dynamics of health in the British Household Panel Survey," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(4), pages 473-503.
    6. Weili Ding & Steven F. Lehrer, 2010. "Estimating Treatment Effects from Contaminated Multiperiod Education Experiments: The Dynamic Impacts of Class Size Reductions," The Review of Economics and Statistics, MIT Press, vol. 92(1), pages 31-42, February.
    7. Gary Solon & Steven J. Haider & Jeffrey M. Wooldridge, 2015. "What Are We Weighting For?," Journal of Human Resources, University of Wisconsin Press, vol. 50(2), pages 301-316.
    8. Cheti Nicoletti & Marco Francesconi, 2006. "Intergenerational mobility and sample selection in short panels," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(8), pages 1265-1293.
    9. Sten Dieden, 2003. "Integration into the South African Core Economy: Household Level Covariates," SALDRU/CSSR Working Papers 054, Southern Africa Labour and Development Research Unit, University of Cape Town.
    10. Arslan, Aslihan & Taylor, J. Edward, 2011. "Whole-household migration, inequality and poverty in rural Mexico," Kiel Working Papers 1742, Kiel Institute for the World Economy (IfW Kiel).
    11. Katy Cornwell & Brett Inder & Pushkar Maitra & Anu Rammohan, 2005. "Household Composition and Schooling of Rural South African Children: Sibling Synergy and Migrant Effects," Monash Economics Working Papers 22/05, Monash University, Department of Economics.
    12. Alex Sienaert, 2007. "Migration, Remittances and Public Transfers: Evidence from South Africa," Economics Series Working Papers 351, University of Oxford, Department of Economics.
    13. Harsha Thirumurthy & Joshua Graff Zivin & Markus Goldstein, 2008. "The Economic Impact of AIDS Treatment: Labor Supply in Western Kenya," Journal of Human Resources, University of Wisconsin Press, vol. 43(3), pages 511-552.
    14. Crossley, Thomas F. & Fisher, Paul & Low, Hamish, 2021. "The heterogeneous and regressive consequences of COVID-19: Evidence from high quality panel data," Journal of Public Economics, Elsevier, vol. 193(C).
    15. Robert D. J. Anderson, 2008. "US Consumer Inflation Expectations: Evidence Regarding Learning, Accuracy and Demographics," Centre for Growth and Business Cycle Research Discussion Paper Series 99, Economics, The University of Manchester.
    16. Li, Zhengtao & Hu, Bin, 2018. "Perceived health risk, environmental knowledge, and contingent valuation for improving air quality: New evidence from the Jinchuan mining area in China," Economics & Human Biology, Elsevier, vol. 31(C), pages 54-68.
    17. Martin Huber, 2012. "Identification of Average Treatment Effects in Social Experiments Under Alternative Forms of Attrition," Journal of Educational and Behavioral Statistics, , vol. 37(3), pages 443-474, June.
    18. Duc Hong Vo & Thach Ngoc Pham, 2017. "Systematic Risk in Energy Businesses: Empirical Evidence for the ASEAN," International Journal of Economics and Financial Issues, Econjournals, vol. 7(1), pages 553-565.
    19. Kapteyn, Arie & Michaud, Pierre-Carl & Smith, James P. & van Soest, Arthur, 2006. "Effects of Attrition and Non-Response in the Health and Retirement Study," IZA Discussion Papers 2246, Institute of Labor Economics (IZA).
    20. Damon, Maria & Zivin, Joshua Graff & Thirumurthy, Harsha, 2015. "Health shocks and natural resource management: Evidence from Western Kenya," Journal of Environmental Economics and Management, Elsevier, vol. 69(C), pages 36-52.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wly:japmet:v:21:y:2006:i:7:p:999-1018. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www.interscience.wiley.com/jpages/0883-7252/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.