Impact Evaluation: Treatment Effects and Causal Analysis

ISBN-13: 9781107616066 / Angielski / Miękka / 2019 / 428 str.

Markus Frolich; Stefan Sperlich

Opis

Encompasses the main concepts and approaches of quantitative impact evaluations, used to consider the effectiveness of programmes, policies, projects or interventions.

Recenzje

'This book is extremely useful for anyone who wants to learn (more) about the field of quantitative impact evaluation in social sciences. Apart from providing a rigourous treatment of both identification and estimation, the authors are to be commended for clearly stating the assumptions behind the various methods, and also for cautioning against limitations in practical applications. A further benefit of the book is the introduction of causal graphs for impact evaluation in econometrics. In sum, a highly recommended book that surely will have a significant impact.' Michael Wolf, Universität Zürich

Spis treści

1. Basic definitions, assumptions, and randomized experiments; 2. An introduction to nonparametric identification and estimation; 3. Selection on observables: matching, regression and propensity score estimators; 4. Selection on unobservables: nonparametric IV and structural equation approaches; 5. Difference-in-differences estimation: selection on observables and unobservables; 6. Regression discontinuity design; 7. Distributional policy analysis and quantile treatment effects; 8. Dynamic treatment evaluation.