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.

Presents an introduction to the econometrics of program evaluation Offers a step-by-step guide to modern econometric techniques for program evaluation Demonstrates real and simulated data samples to illustrate ex-post evaluation design Includes supplementary material: sn.pub/extras

Autorentext

Dr. Giovanni Cerulli is a Senior Researcher at the CNR-IRCrES, Research Institute on Sustainable Economic Growth, National Research Council of Italy in Rome. His research interests are in applied econometrics, with a special focus on causal inference and machine learning. He has developed original causal inference models, such as dose-response and treatment models with social interaction, and has carried out many Stata commands for causal inference and machine learning. He has published articles in several high-quality scientific journals, and a book: Econometric Evaluation of Socio-Economic Programs: Theory and Applications. He is currently the Editor-in-Chief of The International Journal of Computational Economics and Econometrics.

Inhalt
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.