PPT-Sida Peng Regression Discontinuity Design

amp Double Machine learning Review of Causal Inference Office of the Chief Economist 2 Review of Causal Inference Natural of Science uncovering causeandeffect relationships Experiments are important tools to uncover causal relationship. We argue that estimators for causal e64256ects based on such methods can be misleading and we recommend researchers do not use them and instead use estimators based on local linear or quadratic polynomials or other smooth functions Keywords identi64 56 License Apache License 20 Title Regression Discontinuity Estimation Description This package provides the tools to undertake estimation in Regression Discontinuity Designs Both sharp and fuzzy designs are supported Estimation is accomplished usin Imbens Thomas Lemieux b Department of Economics Harvard University and NBER M24 Littauer Center Cambridge MA 02138 USA Department of Economics University of British Columbia and NBER 9971873 East Mall Vancouver BC V6T 1Z1 Canada Abstract In regress Impact Evaluation Methods for Policy Makers. This material constitutes supporting material for the "Impact Evaluation in Practice" book. This additional material is made freely but please acknowledge its use as follows: . Gertler. , P. J.; Martinez, S., . Premand. , P., Rawlings, L. B. and . Christel. M. J. . Vermeersch. , 2010, Impact Evaluation in Practice: Ancillary Material, The World Bank, Washington DC (www.worldbank.org/ieinpractice). The content of this presentation reflects the views of the authors and not necessarily those of the World Bank. . This Talk Will:. I. ntroduce the history and logic of RDD,. Consider conditions for its internal validity,. Considers its sample size requirements, . Consider its dependence on functional form,. Illustrate some specification tests for it,. Design. Basics. Two potential outcomes . Yi(0) . and. Yi(1), . causal effect . Yi(1) − Yi(0), . binary treatment indicator . Wi. , . covariate. Xi, . and the observed outcome equal to:. At . Xi = c . Tokaji,Dan,andSamuelStoller.2004.ElectionLaw@Moritz.Part5:Votingprocedures.Section5.3—Recountsandtherremedies.http://moritzlaw.osu.edu/electionla (accessedSeptember16,2009).Trounstine,Jessica.201 ThistlethwaiteandCampbell ThistlethwaiteandCampbell Theystudiedtheimpactofmeritawardsonfutureacademicoutcomes Awardsallocatedbasedontestscores Ifapersonhadascoregreaterthanc,thecutopoint,thensherecei . Vermeersch. The World Bank. Slides by Sebastian Martinez, . Christel. . Vermeersch. and Paul . Gertler. . The content of this presentation reflects the views of the authors and not necessarily those of the World Bank. . Regression Discontinuity Designs . for . Program Evaluation: . An Institutional Simulation Using R. Gabe . Avakian. Orona, M.P.H.. CAIR 2016. November 17, 2016. Goals for today:. Introduce Regression Discontinuity Design (RDD). Saralyn Miller. Southern Methodist University. ____________________. Paper presented at the annual meeting of the Southwest Educational Research Association, San Antonio, TX, February 2-4, 2011.. 1. Presentation Outline. The World . Bank. REGRESSION . DISCONTINUITY. Technical Track Session V. (RD). Main Objective of an Evaluation . (Reminder). For example:. What is the effect . of an increase in the minimum wage on employment?. Dr. Kamiljon T. Akramov. IFPRI, Washington, DC, USA. . Regional Training Course on Applied Econometric Analysis. June 12-23, 2017, WIUT, Tashkent, Uzbekistan . Outline. Introduction and origins of RDD.