to U.S. health utilization data for the elderly from the National Medical Expenditure Survey …

covariate. Objectives The main aim of the paper is the simultaneous consideration of spatial effects as well as nonlinearities … through an advanced semiparametric spatial autoregressive econometric model. The paper seeks to contribute to empirical … studies of regional science focused on the application of semiparametric spatial autoregressive econometric models. Methods …

It is standard practice in applied work to rely on linear least squares regression to estimate the effect of a binary … variable ("treatment") on some outcome of interest. In this paper I study the interpretation of the regression estimand when … regression of outcome on treatment, the propensity score, and their interaction; third, calculate a weighted average of these two …

We introduce a framework to test for exogeneity of a variable in a regression based on cross-sectional data. By sorting …

Numerous empirical studies employ regression discontinuity designs with multiple cutoffs and heterogeneous treatments …

We consider two problems concerning locating change points in a linear regression model. One involves jump … discontinuities (change-point) in a regression model and the other involves regression lines connected at unknown points. We compare … four methods for estimating single or multiple change points in a regression model, when both the error variance and …