Impact Evaluation: Treatment Effects and Causal Analysis - 9781107616066

In recent years, interest in rigorous impact evaluation has grown tremendously in policy-making, economics, public health, social sciences and international relations. Evidence-based policy-making has become a recurring theme in public policy, alongside greater demands for accountability in public policies and public spending, and requests for independent and rigorous impact evaluations for policy evidence. Fr÷lich and Sperlich offer a comprehensive and up-to-date approach to quantitative impact evaluation analysis, also known as causal inference or treatment effect analysis, illustrating the main approaches for identification and estimation: experimental studies, randomization inference and randomized control trials (RCTs), matching and propensity score matching and weighting, instrumental variable estimation, difference-in-differences, regression discontinuity designs, quantile treatment effects, and evaluation of dynamic treatments. The book is designed for economics graduate courses but can also serve as a manual for professionals in research institutes, governments, and international organizations, evaluating the impact of a wide range of public policies in health, environment, transport and economic development.

• | Author: Markus Fr÷lich, Stefan Sperlich
• | Publisher: Cambridge University Press
• | Publication Date: Mar 21, 2019
• | Number of Pages: 428 pages
• | Language: English
• | Binding: Paperback/Business & Economics
• | ISBN-10: 1107616069
• | ISBN-13: 9781107616066