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 …

Many empirical studies use Fuzzy Regression Discontinuity (FRD) designs to identify treatment effects when the receipt …

A regression kink design (RKD or RK design) can be used to identify casual effects in settings where the regressor of …

represented as the orthogonality between the underlying shocks and a shock-level unobservable. SSIV regression coefficients can … similarly be obtained from an equivalent shock-level regression, motivating shock-level conditions for their consistency. We …

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) …

variety of dynamic processes for updating the quantile and use regression quantile estimation to determine the parameters of …

In this paper we analyze estimation of coefficients in regression models under moment restrictions where the moment … weighted regression analysis. We discuss the interpretation of these weights both under the assumption that the target … weighted regression analysis of the NLS. We analyze the impacts of our weighted regression techniques on the estimated …