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Impact Evaluation: Treatment Effects and Causal Analysis

Frohlich, Markus Sperlich, Stefan  |  eBook

9781108617772 - Impact Evaluation: Treatment Effects and Causal Analysis
2e hands

Artikelomschrijving

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. Frölich 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.

Specificaties

Auteur Frohlich, Markus Sperlich, Stefan
ISBN/EAN 9781108617772
Verschijningsvorm eBook i
Licentieduur eBook online lezen: 365 days
eBook offline lezen (downloaden): Oneindig
Niet meer bestelbaar

Artikelomschrijving

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. Frölich 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.

Specificaties

Auteur Frohlich, Markus Sperlich, Stefan
ISBN/EAN 9781108617772
Verschijningsvorm eBook i
Licentieduur eBook online lezen: 365 days
eBook offline lezen (downloaden): Oneindig