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Household vulnerability and child labor: the effect of shocks, credit rationing, and insurance

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  • Lorenzo Guarcello
  • Fabrizia Mealli
  • Furio Rosati

    ()

Abstract

The theoretical literature has pointed at the importance of access to credit market in determining the household decisions concerning children's activities and the reaction of households to adverse shocks. In this paper we address these issues making use of a unique data set for Guatemala that contains information on credit rationing and shocks. We address the potential endogeneity of the variable of interest using a methodology based on propensity scores and we use sensitivity analysis to assess the robustness of the estimates with respect to unobservables. The results show the importance of access to credit markets and of shocks in determining children's labor supply.

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Bibliographic Info

Article provided by Springer in its journal Journal of Population Economics.

Volume (Year): 23 (2010)
Issue (Month): 1 (January)
Pages: 169-198

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Handle: RePEc:spr:jopoec:v:23:y:2010:i:1:p:169-198

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Related research

Keywords: Child labor; Education; Credit rationing; Shocks; D1; O1;

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  1. Sascha O. Becker & Andrea Ichino, 2002. "Estimation of average treatment effects based on propensity scores," Stata Journal, StataCorp LP, vol. 2(4), pages 358-377, November.
  2. Rajeev H. Dehejia & Roberta Gatti, 2002. "Child labor: The role of income variability and access to credit across countries," Discussion Papers 0102-69, Columbia University, Department of Economics.
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  7. Dehejia, Rajeev H. & Beegle, Kathleen & Gatti, Roberta, 2003. "Child labor, income shocks, and access to credit," Policy Research Working Paper Series 3075, The World Bank.
  8. Manski, Charles F, 1990. "Nonparametric Bounds on Treatment Effects," American Economic Review, American Economic Association, vol. 80(2), pages 319-23, May.
  9. Becker, Gary S & Tomes, Nigel, 1976. "Child Endowments and the Quantity and Quality of Children," Journal of Political Economy, University of Chicago Press, vol. 84(4), pages S143-62, August.
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  11. Jyotsna Jalan & Martin Ravallion, 2000. "Estimating the Benefit Incidence of an Antipoverty Program by Propensity Score Matching," Econometric Society World Congress 2000 Contributed Papers 0873, Econometric Society.
  12. Jean-Marie Baland & James A. Robinson, 2000. "Is Child Labor Inefficient?," Journal of Political Economy, University of Chicago Press, vol. 108(4), pages 663-679, August.
  13. Mealli, Fabrizia & Rubin, Donald B., 2003. "Assumptions allowing the estimation of direct causal effects," Journal of Econometrics, Elsevier, vol. 112(1), pages 79-87, January.
  14. Beegle, Kathleen & Dehejia, Rajeev H. & Gatti, Roberta, 2006. "Child labor and agricultural shocks," Journal of Development Economics, Elsevier, vol. 81(1), pages 80-96, October.
  15. Heckman, James J. & Lalonde, Robert J. & Smith, Jeffrey A., 1999. "The economics and econometrics of active labor market programs," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 31, pages 1865-2097 Elsevier.
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  17. Björklund, Anders, 1983. "Estimation of Wage Gains and Welfare Gains from Self-Selection Models," Working Paper Series 105, Research Institute of Industrial Economics.
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