Regression Discontinuity Design

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Thomas D Cook - One of the best experts on this subject based on the ideXlab platform.

  • statistical power for the comparative Regression Discontinuity Design with a pretest no treatment control function theory and evidence from the national head start impact study
    Evaluation Review, 2018
    Co-Authors: Yang Tang, Thomas D Cook
    Abstract:

    The basic Regression Discontinuity Design (RDD) has less statistical power than a randomized control trial (RCT) with the same sample size. Adding a no-treatment comparison function to the basic RD...

  • statistical power for the comparative Regression Discontinuity Design with a nonequivalent comparison group
    Psychological Methods, 2017
    Co-Authors: Yang Tang, Thomas D Cook, Yasemin Kisbusakarya
    Abstract:

    : In the "sharp" Regression Discontinuity Design (RD), all units scoring on one side of a Designated score on an assignment variable receive treatment, whereas those scoring on the other side become controls. Thus the continuous assignment variable and binary treatment indicator are measured on the same scale. Because each must be in the impact model, the resulting multi-collinearity reduces the efficiency of the RD Design. However, untreated comparison data can be added along the assignment variable, and a comparative Regression Discontinuity Design (CRD) is then created. When the untreated data come from a non-equivalent comparison group, we call this CRD-CG. Assuming linear functional forms, we show that power in CRD-CG is (a) greater than in basic RD; (b) less sensitive to the location of the cutoff and the distribution of the assignment variable; and that (c) fewer treated units are needed in the basic RD component within the CRD-CG so that savings can result from having fewer treated cases. The theory we develop is used to make numerical predictions about the efficiency of basic RD and CRD-CG relative to each other and to a randomized control trial. Data from the National Head Start Impact study are used to test these predictions. The obtained estimates are closer to the predicted parameters for CRD-CG than for basic RD and are generally quite close to the parameter predictions, supporting the emerging argument that CRD should be the Design of choice in many applications for which basic RD is now used. (PsycINFO Database Record

  • waiting for life to arrive a history of the Regression Discontinuity Design in psychology statistics and economics
    Journal of Econometrics, 2008
    Co-Authors: Thomas D Cook
    Abstract:

    This paper reviews the history of the Regression Discontinuity Design in three academic disciplines. It describes the Design's birth and subsequent demise in Psychology even though most problems with it had been solved there. It further describes the scant interest shown in the Design by scholars formally trained in Statistics, and the Design's poor reception in Economics from 1972 until about 1995, when its profile and acceptance changed. Reasons are given for this checkered history that is characterized as waiting for life to arrive.

  • empirical tests of the validity of the Regression Discontinuity Design
    Annals of economics and statistics, 2008
    Co-Authors: Thomas D Cook, Vivian C Wong
    Abstract:

    This paper reviews the literature on whether Regression Discontinuity studies reproduce the results of randomized experiments conducted on the same topic. After briefly reviewing the Regression Discontinuity Design and its history, we explicate the general conditions necessary for a strong test of correspondence in results when an experiment is used to validate any non-experimental method. In economics, within study comparisons of this kind are associated with LaLonde [1986], and we elaborate on how to do such studies better than twenty years ago. We identify three cases where Regression Discontinuity and experimental results with overlapping samples were explicitly contrasted. By criteria of both effect sizes and statistical significance patterns, we then show that each study produced similar results across the experiment and Regression Discontinuity study. This correspondence is what theory predicts. But to achieve it in the complex social settings in which these within-study comparisons were carried out suggests that Regression-Discontinuity results may be generally robust.

Christina Cliffordson - One of the best experts on this subject based on the ideXlab platform.

Jan-eric Gustafsson - One of the best experts on this subject based on the ideXlab platform.

Justin Mccrary - One of the best experts on this subject based on the ideXlab platform.

  • manipulation of the running variable in the Regression Discontinuity Design a density test
    Journal of Econometrics, 2008
    Co-Authors: Justin Mccrary
    Abstract:

    Standard sufficient conditions for identification in the Regression Discontinuity Design are continuity of the conditional expectation of counterfactual outcomes in the running variable. These continuity assumptions may not be plausible if agents are able to manipulate the running variable. This paper develops a test of manipulation related to continuity of the running variable density function. The methodology is applied to popular elections to the House of Representatives, where sorting is neither expected nor found, and to roll-call voting in the House, where sorting is both expected and found.

  • Manipulation of the running variable in the Regression Discontinuity Design: A density test
    Journal of Econometrics, 2008
    Co-Authors: Justin Mccrary
    Abstract:

    Standard sufficient conditions for identification in the Regression Discontinuity Design are continuity of the conditional expectation of counterfactual outcomes in the running variable. These continuity assumptions may not be plausible if agents are able to manipulate the running variable. This paper develops a test of manipulation related to continuity of the running variable density function. The methodology is applied to popular elections to the House of Representatives, where sorting is neither expected nor found, and to roll call voting in the House, where sorting is both expected and found. © 2007 Elsevier B.V. All rights reserved.

Eric Djimeu Wouabe - One of the best experts on this subject based on the ideXlab platform.

  • teacher training and hiv aids prevention in west africa Regression Discontinuity Design evidence from the cameroon
    Health Economics, 2010
    Co-Authors: Jeanlouis Arcand, Eric Djimeu Wouabe
    Abstract:

    We assess the impact on teenage childbearing as well as student knowledge, attitudes, and behavior of a typical HIV/AIDS teacher training program in the Cameroon. Applying a Regression Discontinuity Design identification strategy based on the key administrative criterion that determined program deployment, we find that 15–17 year old girls in teacher training schools are between 7 and 10 percentage points less likely to have started childbearing, an objective proxy for the incidence of unprotected sex. They are also significantly more likely to have used a condom during their last sexual intercourse. For 12–13 year old girls, the likelihood of self-reported abstinence and condom use is also significantly higher in treated schools, while the likelihood of having multiple partners is significantly lower. Copyright (C) 2010 John Wiley & Sons, Ltd.

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