Treatment Effects and the Econometrics of Program Evaluation



Alberto Abadie (MIT)



28 August – 1 September 2017



15:30 to 19:00

Intended for


Academics, graduate students, and practitioners interested in econometric evaluation techniques.



Intermediate statistics and regression analysis including instrumental variable (2SLS), qualitative dependent variable models (Probit and Logit), and basic panel data methods (fixed and random effects).



Program evaluation applies econometric techniques to assess the impact of public policies, such as job-training programs, and other interventions of interest. The goal of this course is to prepare participants to conduct and read critically program-evaluation studies. The course will focus on recent advances in program evaluation, as well as on some relevant empirical applications. We will study a variety of evaluation designs, from random assignment to quasi-experimental evaluation methods. We will analyze the strengths and weaknesses of alternative evaluation methods.



Counterfactuals and causal parameters
Randomized experiments
Matching, propensity score matching
Synthetic controls
Instrumental variables: local average treatment effects
The regression discontinuity design


Alberto Abadie is Professor at MIT. His main research areas are econometrics and policy evaluation. In his research, Alberto Abadie develops econometric methods to estimate treatment effects, with a particular emphasis in the evaluation of policy interventions. He received his PhD in Economics from the Massachusetts Institute of Technology. He has published extensively in academic journals such as the American Economic Review, Econometrica, or the Review of Economic Studies. He is Associate Editor of Econometrica and the Journal of Causal Inference and Member of the Advisory Board of the Review of Economics and Statistics. He has been Co-editor of the Review of Economics and Statistics and Consultant to the World Bank and the Inter-American Development Bank.


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