000			04019nam a2200505I 4500
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003			UtOrBLW
005			20211117123056.0
006			m o d
007			cr un|||||||||
008			170612s2017 enk o 001 0 eng d
020			_a9781787143890 (e-book)
020			_a9781787147294 (ePUB)
040			_aUtOrBLW
050		4	_aQA278.2 _b.R44 2017
072		7	_aKCH _2bicssc _2bicssc
072		7	_aBUS039000 _2bisacsh _2bisacsh
080			_a330.1
245	0	0	_aRegression discontinuity designs : _btheory and applications / _cedited by Matias D. Cattaneo, Juan Carlos Escanciano.
264		1	_aBingley : _bEmerald Publishing Limited, _c2017.
264		4	_c©2017
300			_a1 online resource (505) pages.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
490	1		_aAdvances in econometrics, _x0731-9053 ; _vv. 38
500			_aIncludes index.
505	0		_aPrelims -- On interpreting the regression discontinuity design as a local experiment -- Identification and estimation using a density discontinuity approach -- The deterrence effect of prison : dynamic theory and evidence -- An overview of geographically discontinuous treatment assignments with an application to children's health insurance -- External and internal validity of a geographic quasi-experiment embedded in a cluster-randomized experiment -- The comparative regression discontinuity (CRD) design : an overview and demonstration of its performance relative to basic RD and the randomized experiment -- Party bias in union representation elections : testing for manipulation in the regression discontinuity design when the running variable is discrete -- Testing stability of regression discontinuity models -- Regression kink design : theory and practice -- Regression discontinuity designs with clustered data -- Bootstrap confidence intervals for sharp regression discontinuity designs -- The devil is in the tails : regression discontinuity design with measurement error in the assignment variable -- Index.
520			_aThe Regression Discontinuity (RD) design is one of the most popular and credible research designs for program evaluation and causal inference. This volume 38 of Advances in Econometrics collects twelve innovative and thought-provoking contributions to the RD literature, covering a wide range of methodological and practical topics. Some chapters touch on foundational methodological issues such as identification, interpretation, implementation, falsification testing, estimation and inference, while others focus on more recent and related topics such as identification and interpretation in a discontinuity-in-density framework, empirical structural estimation, comparative RD methods, and extrapolation. These chapters not only give new insights for current methodological and empirical research, but also provide new bases and frameworks for future work in this area. This volume contributes to the rapidly expanding RD literature by bringing together theoretical and applied econometricians, statisticians, and social, behavioural and biomedical scientists, in the hope that these interactions will further spark innovative practical developments in this important and active research area.
588	0		_aPrint version record
650		0	_aRegression analysis.
650		0	_aEconomics _xStatistical methods.
650		7	_aBusiness & Economics _xEconomics _xMacroeconomics. _2bisacsh
650		7	_aEconometrics. _2bicssc
700	1		_aHill, R. Carter, _eeditor.
700	1		_aFomby, Thomas B., _eeditor.
700	1		_aEscanciano, Juan Carlos, _eeditor.
700	1		_aHillebrand, Eric, _eeditor.
700	1		_aJeliazkov, Ivan, _d1973- _eeditor.
700	1		_aCattaneo, Matias D., _eeditor.
776			_z9781787143906
830		0	_aAdvances in econometrics ; _vv. 38.
856	4	0	_uhttps://www.emerald.com/insight/publication/doi/10.1108/S0731-9053201738
999			_c52092 _d52092