Impact Evaluation - Treatment Effects and Causal Analysis (Hardcover)

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. Froelich 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.

General

Imprint:	Cambridge UniversityPress
Country of origin:	United Kingdom
Release date:	March 2019
Authors:	Markus Froelich • Stefan Sperlich
Dimensions:	253 x 178 x 24mm (L x W x T)
Format:	Hardcover
Pages:	428
ISBN-13:	978-1-107-04246-9
Categories:	Books > Business & Economics > Economics > Econometrics > Economic statistics Promotions
LSN:	1-107-04246-1
Barcode:	9781107042469

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