endogeneity problem, a forefront of recent research is the development and application of endogeneity correction methods without …

In a fuzzy regression discontinuity (RD) design, the probability of treatment jumps when a running variable (R) passes …) regression to assess significance of the treatment effect …

We show that the higher-orders and their interactions of the common sparse linear factors can effectively subsume the …

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

We propose a generalization of the linear quantile regression model to accommodate possibilities afforded by panel data …. Specifically, we extend the correlated random coefficients representation of linear quantile regression (e.g., Koenker, 2005 …

of group-level unobservables, standard quantile regression techniques are inconsistent in our setting even if the …, consisting of group-by-group quantile regression followed by two-stage least squares. Using the Bahadur representation of …

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

recent growth. Indeed, regression to the mean is the empirically most salient feature of economic growth. It is far more …

It is common in regression discontinuity analysis to control for high order (third, fourth, or higher) polynomials of …

affected by correlation in the cross-section. For example, patent counts or publications may increase across related research …