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Evaluation des programmes de développement (Impact)

Semestre Semestre 4
Type Obligatoire à choix
Nature Cours
Crédits ECTS 3
Volume horaire total 15
Volume horaire CM 15


Knowledge of statistical inference and regression analysis including instrumental variable (2SLS), qualitative dependent variable models (Probit and Logit), and panel data methods (fixed and random effects).


To prepare students to understand and conduct empirical evaluations of public programs. The focus is on experimental and quasi-experimental methods.


  1. The Identification Problem of Program evaluation: causality, counterfactual responses, heterogeneity, selection
  2. Randomized Experiments
  3. Observational Studies
  4. Regression, Difference in Difference (DID) and Matching
  5. Robustness, Sensitivity, Falsification


Lectures obligatoires :

Imbens, G.W. and J.M. Wooldridge (2009) “Recent Developments in the Econometrics of Program Evaluation,” Journal of Economic Literature, vol. 47(1), 5-86

LaLonde, R. (1986), “Evaluating the Econometric Evaluation of Training Programs with Experimental Data,”American Economic Review , vol. 76, 604-620.

Rubin, D.B. (1977), “Assignment to Treatment Group on the Basis of a Covariate,”Journal of Educational Statistics , vol. 2, 1-26

Imbens, G.W. (2003), “Sensitivity to Exogeneity Assumptions in Program Evaluation,”American Economic Review (Papers & Proceedings) , vol. 93(2), 126-132.

Rosenbaum, P.R. and D.B. Rubin (1983), “Assessing Sensitivity to an Unobserved Binary Covariate in an Observational Study with Binary Outcome,” Journal of the Royal Statistical Society. Series B , vol. 45(2), 212-218.

Abadie, A. (2005), “Semiparametric Difference-in-Differences Estimators,” Review of Economic Studies, vol. 72, 1-19.

Lectures recommandées :

Rosenbaum, P.R. (1995), Observational Studies. New York: Springer-Verlag.

Contrôles des connaissances

Examen terminal Mémoire