Inference about the intersection in two-phase regression

Abstract

We study the problem of estimating and making inferences about the intersection in a two-phase regression model with one independent variable. In particular we derive an asymptotic distribution for the maximum likelihood estimate of the intersection which is a good finite sample approximation. We also discuss the associated problems of testing hypotheses about the intersection.