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Dynamic models for policy evaluation

  • Costas Meghir

    ()

    (Institute for Fiscal Studies and Yale University)

The evaluation of interventions has become a commonly used policy tool, which is frequently adopted to improve the transparency and effectiveness of public policy. However, evaluation methods based on comparing treatment and control groups in small scale trials are not capable of providing a complete picture of the likely effects of a policy and do not provide a framework which allows issues relating to the design of the programme to be addressed. The longer term effects relate to decisions by individuals to change aspects of their life-cycle behavior not directly targeted by the intervention, so as to best take into account of its presence. They also relate to possible changes in prices that may change or even reverse the incentives designed by the programme. In this paper we show how experimental data from field trials can be used to enhance the evaluation of interventions and we also illustrate the potential importance of allowing for longer term incentive and General Equilibrium effects.

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Paper provided by Institute for Fiscal Studies in its series IFS Working Papers with number W06/08.

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Length: 42 pp.
Date of creation: Mar 2006
Date of revision:
Handle: RePEc:ifs:ifsewp:06/08
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  1. Gianluca Violante & Giovanni Gallipoli & Costas Meghir, 2005. "Education Decisions, Equilibrium Policies and Wages Dispersion," 2005 Meeting Papers 522, Society for Economic Dynamics.
  2. Brant Abbott & Giovanni Gallipoli & Costas Meghir & Gianluca Violante, 2013. "Education Policy and Intergenerational Transfers in Equilibrium," Working Papers 2013-010, Human Capital and Economic Opportunity Working Group.
  3. Blundell, Richard & Browning, Martin & Meghir, Costas, 1994. "Consumer Demand and the Life-Cycle Allocation of Household Expenditures," Review of Economic Studies, Wiley Blackwell, vol. 61(1), pages 57-80, January.
  4. Joshua D. Angrist & Guido W. Imbens, 1995. "Identification and Estimation of Local Average Treatment Effects," NBER Technical Working Papers 0118, National Bureau of Economic Research, Inc.
  5. Lorraine Dearden & Carl Emmerson & Christine Frayne & Costas Meghir, 2005. "Education subsidies and school drop-out rates," IFS Working Papers W05/11, Institute for Fiscal Studies.
  6. Richard Blundell & Luigi Pistaferri & Ian Preston, 2004. "Consumption inequality and partial insurance," IFS Working Papers W04/28, Institute for Fiscal Studies.
  7. James Heckman & Lance Lochner & Christopher Taber, 1998. "Explaining Rising Wage Inequality: Explanations With A Dynamic General Equilibrium Model of Labor Earnings With Heterogeneous Agents," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 1(1), pages 1-58, January.
  8. J. Adda & C. Dustmann, 2005. "Career Progression and Formal versus On the Job Training," 2005 Meeting Papers 141, Society for Economic Dynamics.
  9. César Alonso-Borrego & Jesús Fernández-Villaverde & José E. Galdón-Sánchez, 2005. "Evaluating Labor Market Reforms: A General Equilibrium Approach," NBER Working Papers 11519, National Bureau of Economic Research, Inc.
  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. Attanasio, Orazio P & Weber, Guglielmo, 1993. "Consumption Growth, the Interest Rate and Aggregation," Review of Economic Studies, Wiley Blackwell, vol. 60(3), pages 631-49, July.
  12. Giulio Fella & Giovanni Gallipoli, 2008. "Education and Crime over the Life Cycle," Working Papers 630, Queen Mary University of London, School of Economics and Finance.
  13. Heckman, James J & Ichimura, Hidehiko & Todd, Petra, 1998. "Matching as an Econometric Evaluation Estimator," Review of Economic Studies, Wiley Blackwell, vol. 65(2), pages 261-94, April.
  14. Abowd, John M & Card, David, 1989. "On the Covariance Structure of Earnings and Hours Changes," Econometrica, Econometric Society, vol. 57(2), pages 411-45, March.
  15. Heckman, James & Singer, Burton, 1984. "A Method for Minimizing the Impact of Distributional Assumptions in Econometric Models for Duration Data," Econometrica, Econometric Society, vol. 52(2), pages 271-320, March.
  16. LaLonde, Robert J, 1986. "Evaluating the Econometric Evaluations of Training Programs with Experimental Data," American Economic Review, American Economic Association, vol. 76(4), pages 604-20, September.
  17. Meghir, Costas & Pistaferri, Luigi, 2002. "Income Variance Dynamics and Heterogeneity," CEPR Discussion Papers 3632, C.E.P.R. Discussion Papers.
  18. Richard Blundell & Ian Preston, 1997. "Consumption, inequality and income uncertainty," IFS Working Papers W97/15, Institute for Fiscal Studies.
  19. Cesar Alonso-Borrego & Jesus Fernandez-Villaverde & Jose Galdon-Sanchez, 2004. "Evaluating Labor Market Reforms: A General Equilibrium Approach," Working Papers 866, Princeton University, Department of Economics, Industrial Relations Section..
  20. David Card & Dean R. Hyslop, 2004. "Estimating the Effects of a Time Limited Earnings Subsidy for Welfare Leavers," NBER Working Papers 10647, National Bureau of Economic Research, Inc.
  21. James Heckman & Lance Lochner & Ricardo Cossa, 2002. "Learning-By-Doing Vs. On-the-Job Training: Using Variation Induced by the EITC to Distinguish Between Models of Skill Formation," NBER Working Papers 9083, National Bureau of Economic Research, Inc.
  22. Heckman, James J & Sedlacek, Guilherme, 1985. "Heterogeneity, Aggregation, and Market Wage Functions: An Empirical Model of Self-selection in the Labor Market," Journal of Political Economy, University of Chicago Press, vol. 93(6), pages 1077-1125, December.
  23. MaCurdy, Thomas E, 1981. "An Empirical Model of Labor Supply in a Life-Cycle Setting," Journal of Political Economy, University of Chicago Press, vol. 89(6), pages 1059-85, December.
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