Sep 17, 2024 · This forms a multidimensional regression discontinuity design (RDD) to analyze the effect of the educational treatment where there are two running variables ...
21 hours ago · RDD requires a running variable, a cutoff, and a treatment to measure the causal effect on outcome. Running variable : is usually a continuous variable that ...
Sep 17, 2024 · This forms a multidimensional regression discontinuity design (RDD) to analyze the effect of the educational treatment where there are two running variables ...
5 days ago · The Regression Discontinuity Design (RDD) is widely employed in causal inference and program evaluation with non-experimental data. RDDs arise whenever a “treat ...
6 days ago · Using a regression discontinuity design based on close-call union elections from NLRB, we find that labor unionization leads to a significant decrease in trade ...
Sep 7, 2024 · Regression Discontinuity Design (RDD) is a powerful tool for studying the effects of interventions or policies. It uses a predetermined cutoff or threshold. The ...
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Sep 15, 2024 · To address our research questions, we use Regression Discontinuity Design (RDD) to causally estimate the effects of the display of community notes in terms of ...
Sep 21, 2024 · We then extend our strategy to finding (i) control variables in regression and difference-in-differences and (ii) running variables in regression discontinuity ...
Sep 18, 2024 · The running variable is measured at person-month structure, that is, individuals who complete the same age in months, irrespectively points of time, belongs to ...
Sep 14, 2024 · Implements local polynomial Regression Discontinuity (RD) point estimators with robust bias-corrected confidence intervals and inference procedures.
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