Manipulation of the running variable in the regression discontinuity design
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Manipulation of the running variable in the regression discontinuity design a density test by Justin McCrary

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Published by National Bureau of Economic Research in Cambridge, MA .
Written in English


Book details:

Edition Notes

StatementJustin McCrary.
SeriesNBER working paper series -- working paper . 334, Working paper series (National Bureau of Economic Research : Online) -- working paper no. . 334.
ContributionsMcCrary, Justin., National Bureau of Economic Research.
Classifications
LC ClassificationsHB1
The Physical Object
FormatElectronic resource
ID Numbers
Open LibraryOL16262235M
LC Control Number2007615067

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In statistics, econometrics, political science, epidemiology, and related disciplines, a regression discontinuity design (RDD) is a quasi-experimental pretest-posttest design that elicits the causal effects of interventions by assigning a cutoff or threshold above or below which an intervention is assigned. By comparing observations lying closely on either side of the threshold, it is possible. Regression Discontinuity Designs: Theory and Applications (Advances in Econometrics): testing for manipulation in the regression discontinuity design when the running variable is discrete, and regression kink design: theory and practice. --Annotation © Ringgold Inc. Author: R. Carter Hill. Standard sufficient conditions for identification in the regression discontinuity design are continuity of the conditional expectation of counterfactual outcomes in the running rajasthan-travel-tour.com: Justin Mccrary. Get this from a library! Manipulation of the Running Variable in the Regression Discontinuity Design: A Density Test. [Justin McCrary] -- Standard sufficient conditions for identification in the regression discontinuity design are continuity of the conditional expectation of counterfactual outcomes in the running variable. These.

Kerry Tanner, in Research Methods (Second Edition), Regression-discontinuity design. The regression-discontinuity design builds on the pre-experimental static group comparison design by introducing a series of comparison groups, addressing the issue of selection as a potential rival explanation. It is a cross-sectional design. ELECTIONS: TESTING FOR MANIPULATION IN THE REGRESSION DISCONTINUITY DESIGN WHEN THE RUNNING VARIABLE IS DISCRETE Brigham R. Frandsen TESTING STABILITY OF REGRESSION DISCONTINUITY MODELS Giovanni Cerulli, Yingying Dong, Arthur Lewbel and Alexander Poulsen REGRESSION KINK DESIGN: THEORY AND PRACTICE. “Party Bias in Union Representation Elections: Testing for Manipulation in the Regression Discontinuity Design When the Running Variable is Discrete.” In Regression Discontinuity Designs: Theory and Applications (Advances in Econometrics, volume 38), ed. Cattaneo, Matias D. and Escanciano, Juan Carlos. Emerald Group rajasthan-travel-tour.com by: Manipulation of the running variable in the regression discontinuity design: A density test. J of Econometrics. A major issue with RD designs, in terms of internal validity, is whether units are able to manipulate their score on the assignment variable (e.g., retaking tests until the cutoff score is attained).

Identification and Estimation Using a Density Discontinuity Approach: Theory and Applications Testing for Manipulation in the Regression Discontinuity Design when the Running Variable is. 6 Collinearity Coefficient and Sample Size Multiple for a Regression Discontinuity Design Relative to an Otherwise Comparable Randomized 8 Plot of Rating vs. a Nonaffected Variable (Age) 45 9 Manipulation at the Cut-Point 46 ing variable (which, in this case, is the average achievement score) in the regression equation. Regression Discontinuity Designs in Economics David S. Lee, Thomas Lemieux. NBER Working Paper No. Issued in February , Revised in December NBER Program(s):Economics of Education Program, Labor Studies Program This paper provides an introduction and "user guide" to Regression Discontinuity (RD) designs for empirical researchers. Regression Discontinuity Designs: Theory and Applications (Advances in Econometrics Book 38) - Kindle edition by Matias D. Cattaneo, Juan Carlos Escanciano. Download it once and read it on your Kindle device, PC, phones or tablets. Use features like bookmarks, note taking and highlighting while reading Regression Discontinuity Designs: Theory and Applications (Advances in Econometrics Book Manufacturer: Emerald Publishing Limited.