Econometric Evaluation of Socio-Economic Programs

Theory and Applications

Giovanni Cerulli

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English

Springer-Verlag Berlin and Heidelberg GmbH & Co. K
03 November 2022

Econometrics; Probability & statistics

Series: Advanced Studies in Theoretical and Applied Econometrics

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, regression-discontinuity-design, and synthetic control method, and are given practical guidelines for selecting and applying suitable methods for specific policy contexts.

The second revised and extended edition features two new chapters on some recent development of difference-in-differences. Specifically, chapter 5 introduces advanceddifference-in-differences methods when many times are available and treatment can be either time-varying or fixed at a specific time. Chapter 6 introduces the synthetic control method, a treatment effect estimation approach suitable when only one unit is treated. Both chapters present applications using the software Stata.

By: Giovanni Cerulli
Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Country of Publication: Germany
Edition: 2nd ed. 2022
Volume: 49
Dimensions: Height: 235mm, Width: 155mm,
Weight: 758g
ISBN: 9783662659441
ISBN 10: 3662659441
Series: Advanced Studies in Theoretical and Applied Econometrics
Pages: 340
Publication Date: 03 November 2022
Audience: Professional and scholarly , Undergraduate
Format: Hardback
Publisher's Status: Active

Giovanni Cerulli is research director at CNR-IRCrES (National Research Council of Italy - Research Institute on Sustainable Economic Growth). He took a degree in Statistics and a PhD in Economic Sciences from Sapienza University of Rome. His research deals with two main subjects: causal inference (including program evaluation), and machine learning. He has developed both theoretical and applied econometric models for program evaluation, including dose-response models, treatment effect estimation with peer effects, and software development for quantitative evaluation purposes. He boasts a consolidated expertise in the evaluation of R&D and innovation policies. Giovanni Cerulli is editor-in-chief of the “International Journal of Computational Economics and Econometrics” (IJCEE), and coordinator of GRAPE (Research Group on the Analysis of Economic Policies). His publications have appeared in prestigious peer-reviewed scientific journals.