000			03556cam a2200385 i 4500
001			20574798
003			OSt
005			20250416084409.0
008			180709s2019 enk b 001 0 eng
010			_a 2018021896
020			_a9781107042469 (hardback)
020			_a9781107616066 (paperback)
040			_aDLC _beng _cDLC _erda _dDLC
042			_apcc
050	0	0	_aHB139 _b.F757 2018
082	0	0	_a300 FRO _223
100	1		_aFröhlich, Markus, _eauthor.
245	1	0	_aImpact evaluation, treatment effects and causal analysis / _cMarkus Fröhlich, Universität Mannheim, Center for Evaluation and Development, Stefan Sperlich, University of Geneva.
250			_a1 Edition.
264		1	_aCambridge, UK ; _aNew York : _bCambridge University Press, _c[2019]
300			_axii, 417 pages ; _c25 cm
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
504			_aIncludes bibliographical references (pages 399-414) and index.
520			_a"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, differences-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"-- _cProvided by publisher.
520			_a"This book on advanced econometrics is intended to familiarise the reader with technical developments in the area of econometric which is known under the label treatment e ect estimation, or impact or policy evaluation. In this book we have tried to combine the intuitive reasoning for identi cation and estimation with the econometric and statistical rigorousness. This holds especially for the complete list of stochastic assumptions and their implications in practise. Moreover, for both, identi cation and estimation we focus mostly on nonparametric methods (i.e. our methods are not based on speci c pre-speci ed models or functional forms) in order to provide methods that are quite generally valid. Graphs and a number examples of evaluation studies are applied to explain how sources of exogenous variation can be explored for disentangling causality from correlation"-- _cProvided by publisher.
650		0	_aEconometrics.
650		0	_aEvaluation research (Social action programs)
650		0	_aEstimation theory.
700	1		_aSperlich, Stefan, _eauthor.
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2ddc _cBOOKS
999			_c8187 _d8187