Regression Discontinuity Design. In a regression discontinuity design (rdd), individuals are assigned dichotomously to a treatment if they cross a given cutoff of an observable and continuous forcing variable, whereas those who fail to. 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.
Draws on lee and lemieux jel 2010. Extensions, matias cattaneo, nicolás idrobo, and rocıìo titiunik provide an accessible and practical guide for the analysis and interpretation of regression. 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. When appropriate, perform rd regression on change in y.
By sebastian calonico, matias d.
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. Sharp regression discontinuity designs 2. Using regression discontinuity design for program evaluation. Particularly around the application of assigning treatment and control groups on observation data.
