In treatment effect analysis, often the treatment takes a particular structure:'on'if an
underlying continuous variable crosses a threshold, and 'off'otherwise. Such a treatment …

This paper introduces the structural threshold regression (STR) model that allows for an
endogenous threshold variable as well as for endogenous regressors. This model provides …

This paper studies estimation in threshold regression with endogeneity in the regressors
and thresholding variable. Three key results differ from those in regular models. First, both …

In regression discontinuity (RD) with a running variable S crossing a known cutoff c, an
unexpectedly small break magnitude is due to S being a mis-measured version of the …

This paper extends Regression discontinuity designs with unknown discontinuity points
developed by (Porter, J., and P. Yu. 2015.“Regression Discontinuity Designs with Unknown …

We propose three new methods of inference for the threshold point in endogenous threshold
regression and two specification tests designed to assess the presence of endogeneity and …

Regression discontinuity (RD) designs are popular quasi-experimental studies in which
treatment assignment depends on whether the value of a running variable exceeds a cutoff …

In this paper, we empirically examine how unfair (ie negatively assortive) matching between
colleges and students affects the medium-run allocative efficiency of the college admissions …

In this paper, we address empirically the issue how unfair match between colleges and
students would affect the long-run efficiency of the college admission system, measured by …