Preface -- 1 An Introduction to the Econometrics of Program Evaluation -- 2 Methods Based on Selection on Observables -- 3 Methods Based on Selection on Unobservables -- 4 Local Average Treatment Effect and Regression-Discontinuity-Design.

This book provides advanced theoretical and applied tools for the implementation of modern micro-econometric techniques in evidence-based program evaluation for the social sciences. The author presents a comprehensive toolbox for designing rigorous and effective ex-post program evaluation using the statistical software package Stata. For each method, a statistical presentation is developed, followed by a practical estimation of the treatment effects. By using both real and simulated data, readers will become familiar with evaluation techniques, such as regression-adjustment, matching, difference-in-differences, instrumental-variables and regression-discontinuity-design, and are given practical guidelines for selecting and applying suitable methods for specific policy contexts.