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Evaluating the Impact of Health Programmes on Productivity

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  • Malcolm Keswell
  • Justine Burns
  • Rebecca Thornton

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Bibliographic Info

Article provided by African Development Bank in its journal African Development Review.

Volume (Year): 24 (2012)
Issue (Month): 4 (December)
Pages: 302-315

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Handle: RePEc:bla:afrdev:v:24:y:2012:i:4:p:302-315

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References

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Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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  1. Roberto Agodini & Mark Dynarski, 2004. "Are Experiments the Only Option? A Look at Dropout Prevention Programs," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 180-194, February.
  2. James Heckman & Hidehiko Ichimura & Jeffrey Smith & Petra Todd, 1998. "Characterizing Selection Bias Using Experimental Data," Econometrica, Econometric Society, vol. 66(5), pages 1017-1098, September.
  3. Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2002. "How Much Should We Trust Differences-in-Differences Estimates?," NBER Working Papers 8841, National Bureau of Economic Research, Inc.
  4. Wooldridge, Jeffrey M. & Imbens, Guido, 2009. "Recent Developments in the Econometrics of Program Evaluation," Scholarly Articles 3043416, Harvard University Department of Economics.
  5. James J. Heckman & Lance Lochner & Christopher Taber, 1998. "General Equilibrium Treatment Effects: A Study of Tuition Policy," NBER Working Papers 6426, National Bureau of Economic Research, Inc.
  6. Jalan, Jyotsna & Ravallion, Martin, 1996. "Are there dynamic gains from a poor-area development program?," Policy Research Working Paper Series 1695, The World Bank.
  7. Harsha Thirumurthy & Joshua Graff Zivin & Markus Goldstein, 2006. "The Economic Impact of AIDS Treatment: Labor Supply in Western Kenya," Working Papers 947, Economic Growth Center, Yale University.
  8. Imbens, Guido W & Angrist, Joshua D, 1994. "Identification and Estimation of Local Average Treatment Effects," Econometrica, Econometric Society, vol. 62(2), pages 467-75, March.
  9. Juan Jose Diaz & Sudhanshu Handa, 2006. "An Assessment of Propensity Score Matching as a Nonexperimental Impact Estimator: Evidence from Mexico’s PROGRESA Program," Journal of Human Resources, University of Wisconsin Press, vol. 41(2).
  10. Paul Schultz, T., 2004. "School subsidies for the poor: evaluating the Mexican Progresa poverty program," Journal of Development Economics, Elsevier, vol. 74(1), pages 199-250, June.
  11. Moock, Peter R. & Leslie, Joanne, 1986. "Childhood malnutrition and schooling in the Terai region of Nepal," Journal of Development Economics, Elsevier, vol. 20(1), pages 33-52.
  12. Rajeev H. Dehejia & Sadek Wahba, 2002. "Propensity score matching methods for non-experimental causal studies," Discussion Papers 0102-14, Columbia University, Department of Economics.
  13. Jamison, Dean T., 1986. "Child malnutrition and school performance in China," Journal of Development Economics, Elsevier, vol. 20(2), pages 299-309, March.
  14. Heckman, James J & Ichimura, Hidehiko & Todd, Petra E, 1997. "Matching as an Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," Review of Economic Studies, Wiley Blackwell, vol. 64(4), pages 605-54, October.
  15. James Habyarimana & Bekezela Mbakile & Cristian Pop-Eleches, 2010. "The Impact of HIV/AIDS and ARV Treatment on Worker Absenteeism: Implications for African Firms," Journal of Human Resources, University of Wisconsin Press, vol. 45(4), pages 809-839.
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