This paper provides tools for partial identification inference and sensistivity analysis in a
general class of semiparametric models. The main working assumption is that the finite …

This paper provides inference tools for partially identified semiparametric models. The main
working assumption is that the finite% dimensional parameter of interest and the infinite …

Motivated by the fact that a linear speci fication in a quantile regression setting is unable to
describe the non-linear relations among economic variables, as documented in the …

We consider semi‐parametric estimation of a generalized threshold regression model with
both the link function and the error term distribution left unspecified. We propose for the …