Conditional Linear Combination Tests for Weakly Identified Models
Conditional Linear Combination Tests for Weakly Identified Models
We introduce the class of conditional linear combination tests, which reject null hypotheses concerning model parameters when a data-dependent convex combination of two identification-robust statistics is large. These tests control size under weak identification and have a number of optimality properties in a conditional problem. We show that the conditional …