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A note on the impact evaluation of public policies: the counterfactual analysis

  • Loi, Massimo
  • Rodrigues, Margarida

This report describes concisely, and in an intuitive way, the policy evaluation framework and the different counterfactual analysis evaluation strategies: propensity score matching, regression discontinuity design, differences-in-differences and instrumental variables. For each method we present the main assumptions it relies on and the data requirements. These methodologies apply to any type of policy and, in general, to any type of intervention. A selection of papers applying this approach in the context of labour market interventions is also included.

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File URL: http://mpra.ub.uni-muenchen.de/42444/1/MPRA_paper_42444.pdf
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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 42444.

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Date of creation: 2012
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Handle: RePEc:pra:mprapa:42444
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Web page: http://mpra.ub.uni-muenchen.de

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  1. Bruno Crépon & Esther Duflo & Marc Gurgand & Roland Rathelot & Philippe Zamora, 2013. "Do Labor Market Policies have Displacement Effects? Evidence from a Clustered Randomized Experiment," The Quarterly Journal of Economics, Oxford University Press, vol. 128(2), pages 531-580.
  2. Guido W. Imbens, 2004. "Nonparametric Estimation of Average Treatment Effects Under Exogeneity: A Review," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 4-29, February.
  3. Shahidur R. Khandker & Gayatri B. Koolwal & Hussain A. Samad, 2010. "Handbook on Impact Evaluation : Quantitative Methods and Practices," World Bank Publications, The World Bank, number 2693, September.
  4. David E. Card & Pablo Ibarraran & Juan Miguel Villa, 2011. "Building in an Evaluation Component for Active Labor Market Programs: A Practitioner's Guide," SPD Working Papers 1101, Inter-American Development Bank, Office of Strategic Planning and Development Effectiveness (SPD).
  5. Battistin, Erich & Rettore, Enrico, 2008. "Ineligibles and eligible non-participants as a double comparison group in regression-discontinuity designs," Journal of Econometrics, Elsevier, vol. 142(2), pages 715-730, February.
  6. Hujer, Reinhard & Caliendo, Marco, 2000. "Evaluation of Active Labour Market Policy: Methodological Concepts and Empirical Estimates," IZA Discussion Papers 236, Institute for the Study of Labor (IZA).
  7. Lechner, Michael, 1999. "Earnings and Employment Effects of Continuous Off-the-Job Training in East Germany after Unification," Journal of Business & Economic Statistics, American Statistical Association, vol. 17(1), pages 74-90, January.
  8. Caliendo, Marco & Kopeinig, Sabine, 2005. "Some Practical Guidance for the Implementation of Propensity Score Matching," IZA Discussion Papers 1588, Institute for the Study of Labor (IZA).
  9. Richard Blundell & Mónica Costa Dias, 2008. "Alternative Approaches to Evaluation in Empirical Microeconomics," CEF.UP Working Papers 0805, Universidade do Porto, Faculdade de Economia do Porto.
  10. 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.
  11. Caliendo, Marco & Hujer, Reinhard & Thomsen, Stephan L., 2005. "The Employment Effects of Job Creation Schemes in Germany: A Microeconometric Evaluation," IZA Discussion Papers 1512, Institute for the Study of Labor (IZA).
  12. Alberto Abadie & Joshua Angrist & Guido Imbens, 2002. "Instrumental Variables Estimates of the Effect of Subsidized Training on the Quantiles of Trainee Earnings," Econometrica, Econometric Society, vol. 70(1), pages 91-117, January.
  13. Barbara Sianesi, 2004. "An Evaluation of the Swedish System of Active Labor Market Programs in the 1990s," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 133-155, February.
  14. Brian Bell & Richard Blundell & John Van Reenen, 1999. "Getting the unemployed back to work: the role of targeted wage subsidies," IFS Working Papers W99/12, Institute for Fiscal Studies.
  15. Peter Z. Schochet & John Burghardt & Sheena McConnell, 2008. "Does Job Corps Work? Impact Findings from the National Job Corps Study," American Economic Review, American Economic Association, vol. 98(5), pages 1864-86, December.
  16. A. Smith, Jeffrey & E. Todd, Petra, 2005. "Does matching overcome LaLonde's critique of nonexperimental estimators?," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 305-353.
  17. 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.
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