This paper describes and applies econometric strategies for estimating regression models of economic share data … on the conditional mean structures of such data. The paper proposes an extension of the fractional regression methodology … econometric strategies for share model estimation. The paper then goes on to discuss the univariate fractional regression …

This study uses Monte Carlo simulations to demonstrate that regression-discontinuity designs arrive at biased estimates …

constraints can be worth the costs. Constrained regression adds a tool for developing risk equalization models that can improve …

Standard sufficient conditions for identification in the regression discontinuity design are continuity of the …

. Local asymptotic power analysis shows that the power of the long-horizon predictive regression test dominates that of the … these problems, we suggest a moving block recursive Jackknife estimator of the predictive regression slope coefficient and …

regression discontinuity (RD) framework to applications where time is the running variable and treatment begins at a particular … threshold in time. In this guide for practitioners, we discuss several features of this “Regression Discontinuity in Time” (RDiT … framework closer to an event study than a regression discontinuity design. Based on these features and motivated by hypothetical …

regression of Y onto X in a subpopulation homogenous in W = w (formally a conditional linear predictor). Let b₀ (w) be … the coefficient vector on X in this regression. We introduce a semiparametrically efficient estimate of the average β … methods of semiparametric regression (e.g., the partially linear regression model) …

possible two-group/two-period DD estimators in the data. This result provides detailed guidance about how to use regression DD …