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Impact Evaluation

Treatment Effects And Causal Analysis

Impact Evaluation - Frolich, Markus; Sperlich, Stefan (universite De Geneve) - ISBN: 9781107616066
Prijs: € 41,50
Levertijd: 8 tot 12 werkdagen
Bindwijze: Boek
Genre: Algemene economie
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Encompasses the main concepts and approaches of quantitative impact evaluations, used to consider the effectiveness of programmes, policies, projects or interventions.


Titel: Impact Evaluation
auteur: Frolich, Markus; Sperlich, Stefan (universite De Geneve)
Mediatype: Boek
Taal: Engels
Aantal pagina's: 428
Uitgever: Cambridge University Press
Plaats van publicatie: 03
NUR: Algemene economie
Afmetingen: 246 x 173 x 20
Gewicht: 860 gr
ISBN/ISBN13: 9781107616066
Intern nummer: 42729137

Biografie (woord)

Stefan Sperlich is Full Professor of Statistics and Econometrics at the Université de Genève, has about fifteen years of experience as a consultant, and was co-founder of the Poverty, Equity and Growth in Developing Countries research centre, Göttingen. He has published in various top ranked journals and was awarded with the 2000–2002 Koopmans econometric theory prize.


'This comprehensive book on impact evaluation provides a long awaited state-of-the-art treatment of the econometric and statistical tools used for impact evaluation in economics and neighboring social sciences. What makes this most useful is the combination of rigorous discussion of the key methodological aspects, so that the tools do not remain a black box, with careful discussions of identification and illustrations of applications. This book will be a quintessential tool both for practitioners and scholars in the field.' Bernd Fitzenberger, Humboldt-Universität zu Berlin and the Centre for European Economic Research (ZEW), Germany


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.


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