Howard Bloom. Downloadable (with restrictions)! July 2012
Regression discontinuity (RD) analysis is a rigorous nonexperimental approach that can be used to estimate program impacts in situations in which candidates are selected for treatment based on whether their value for a numeric rating exceeds a designated threshold or cut-point.
A Practical Introduction to Regression Discontinuity Designs: Foundations MD Cattaneo, N Idrobo, R Titiunik Cambridge Elements: Quantitative and Computational Methods for Social … , 2019 Marie-Andrée Somers.
Corpus ID: 124962042. A Practical Guide to Regression Discontinuity @inproceedings{Jacob2012APG, title={A Practical Guide to Regression Discontinuity}, author={Robin Tepper Jacob and Pei Zhu and Marie-Andr{\'e}e Somers and Howard S. Bloom}, year={2012} } A Practical Guide to Regression Discontinuity.
A Practical Guide to Regression Discontinuity. Regression Discontinuity Designs: A Guide to Practice Guido Imbens, Thomas Lemieux. MDRC.
Regression-discontinuity analysis: an alternative to the ex-post Facto experiment. Regression Discontinuity Designs: A Guide to Practice Guido Imbens and Thomas Lemieux NBER Working Paper No. A Practical Guide to Regression Discontinuity.
If a discontinuity in predetermined variables is present at the treatment cut-off, then this puts the validity … Journal of Econometrics. C14,C21 ABSTRACT In Regression Discontinuity (RD) designs for evaluating causal effects of interventions, assignment to a treatment is determined at least partly by the value of an observed covariate lying on either side of a fixed threshold. Journal of Educational Psychology 51, 309–317] With the exception of a few unpublished theoretical papers, these methods did not attract much attention in the economics literature until recently. A Practical Guide to Regression Discontinuity Designs in Political Science Christopher Skovrony Roc´ıo Titiunikz October 12, 2015 Abstract We provide a practical guide to the analysis and interpretation of the regression discon-tinuity (RD) design, an empirical strategy that political scientists are increasingly employing
These designs … Find file Copy path Fetching contributors… Cannot retrieve contributors at this time. A Practical Guide to Regression Discontinuity Robin Jacob University of Michigan Pei Zhu Marie-Andrée Somers Howard Bloom MDRC July 2012 Acknowledgments The authors thank Kristin Porter, Kevin Stange, Jeffrey Smith, Michael Weiss, Emily House, and Monica Bhatt for comments on an earlier draft of this paper. Consider the earlier merit-based scholarship example. University of Michigan. 2008;142 (2) :615-635.
08/2012 | Robin Tepper Jacob, Pei Zhu, Marie-Andrée Somers, Howard Bloom. Robin Jacob. Imbens G, Lemieux T. Regression Discontinuity Designs: A Guide to Practice. 13039 Issued in April 2007 NBER Program(s):Children, Economics of Education, Labor Studies In Regression Discontinuity (RD) designs for evaluating causal effects of interventions, assignment to a treatment is determined at least partly by the value of an observed covariate lying on … samplecode / Stata / Practical Guide for Impact Evaluation / Regression Discontinuity / discontinuity_do-file.do. NBER Working Paper No. Jacob, Robin; Zhu, Pei; Somers, Marie-Andrée; Bloom, Howard.
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