PPT-Regression Discontinuity

Design Basics Two potential outcomes Yi0 and Yi1 causal effect Yi1 Yi0 binary treatment indicator Wi covariate Xi and the observed outcome equal to At Xi c . isavectorofparameterstobeestimatedand x isavectorofpredictors forthe thof observationstheerrors areassumedtobenormallyandindependentlydistributedwith mean 0 and constant variance The function relating the average value of the response to the pred 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 9 Discontinuity Discontinuity z xx xx xm xxg The Hole function The reciproc al quadratic function at x 2 01 m x 1000 at x 1 9 mx 100 at x 1 99 mx 10000 small b g big sma ll brPa (Section 2.6). When . all. of the answers are YES, i.e.. ,. we say f is . continuous. at a.. Continuity. limit matches function value. Is the function value f(a) defined?. 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,. ThistlethwaiteandCampbell ThistlethwaiteandCampbell Theystudiedtheimpactofmeritawardsonfutureacademicoutcomes Awardsallocatedbasedontestscores Ifapersonhadascoregreaterthanc,thecutopoint,thensherecei Unit 1 Day 4. Continuity at a . POINT. A function is continuous at . a. if. . There are 3 important parts to this definition:. . f(a) . exists. The . exists (which means . =. ).. The two values above are equal.. A function, . f. , is continuous at a number, . a, . if. 1) . f(a). is defined. 2) exists. 3) . Definition. A function is continuous if there are no breaks in the graph. Visually. C. CONVERSATION: Voice level 0. No talking!. H. HELP: Raise your hand and wait to be called on.. A. ACTIVITY: Whole class instruction; students in seats.. M. . MOVEMENT: Remain in seat during instruction.. &. Double Machine learning. Review of Causal Inference. Office of the Chief Economist |. 2. Review of Causal Inference. Natural of Science: uncovering cause-and-effect relationships. Experiments are important tools to uncover causal relationship. In linear regression, the assumed function is linear in the coefficients, for example, . .. Regression is nonlinear, when the function is a nonlinear in the coefficients (not x), e.g., . T. he most common use of nonlinear regression is for finding physical constants given measurements.. : A British biometrician, Sir Francis Galton, defined regression as ‘stepping back towards the average’. He found that the offspring of abnormally tall or short parents tends to regress or step back to average.. Regression Trees. Characteristics of classification models. model. linear. parametric. global. stable. decision tree. no. no. no. no. logistic regression. yes. yes. yes. yes. discriminant. analysis. 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.