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HIV/AIDS and Poverty in South Africa: a Bayesian Estimation

Author

Listed:
  • Fabrice Murtin

    () (GREDI, Université de Sherbrooke)

  • Federica Marzo

    () (CREST, INSEE)

Abstract

In this paper we assess the causal impact of HIV/AIDS on monetary poverty using a panel data-set from South Africa and modeling the consequences of the illness on both earnings and transfers. Two major econometric problems are likely to bias the estimation: endogeneity of the HIV/AIDS dummy variable, and autoselection of the individuals participating to the labour market or to transfers networks. We solve both of them by proposing an original framework where we include correlated fixed-effects both in the level and the participation equations, which are estimated simultaneously with original Bayesian methods. The procedure is tested and very well-behaved. Splitting the sample into urban and rural population, we show that HIV/AIDS has a significant but moderate impact on poverty for urban population, because transfers partly compensate the fall of earnings entailed by the decrease in labour market participation. On the contrary, HIV/AIDS has an important impact on poverty for the rural population because it causes a fall of transfers. Surprisingly the effect on earnings is not significant . We argue that those results can be explained by the existence of an efficient public safety net in urban settings, while in contrast private transfers are subject to moral hazard and imperfect commitment that characterize risk-sharing in rural settings.

Suggested Citation

  • Fabrice Murtin & Federica Marzo, 2007. "HIV/AIDS and Poverty in South Africa: a Bayesian Estimation," Cahiers de recherche 07-08, Departement d'Economique de l'École de gestion à l'Université de Sherbrooke.
  • Handle: RePEc:shr:wpaper:07-08
    as

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    File URL: http://gredi.recherche.usherbrooke.ca/wpapers/GREDI-0708.pdf
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    References listed on IDEAS

    as
    1. Ethan Ligon & Jonathan P. Thomas & Tim Worrall, 2000. "Mutual Insurance, Individual Savings and Limited Commitment," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 3(2), pages 216-246, April.
    2. Dean R. Hyslop, 1999. "State Dependence, Serial Correlation and Heterogeneity in Intertemporal Labor Force Participation of Married Women," Econometrica, Econometric Society, vol. 67(6), pages 1255-1294, November.
    3. 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.
    4. repec:dau:papers:123456789/10840 is not listed on IDEAS
    5. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 31(3), pages 129-137.
    6. Coate, Stephen & Ravallion, Martin, 1993. "Reciprocity without commitment : Characterization and performance of informal insurance arrangements," Journal of Development Economics, Elsevier, vol. 40(1), pages 1-24, February.
    7. Marcel Fafchamps & Flore Gubert, 2007. "Risk Sharing and Network Formation," American Economic Review, American Economic Association, vol. 97(2), pages 75-79, May.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    DHIV/AIDS; MCMC; Selection Models;

    JEL classification:

    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
    • D1 - Microeconomics - - Household Behavior
    • I1 - Health, Education, and Welfare - - Health

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