A Simple Solution to Invalid Inference in the Random Coefficients Logit Model
Mardi | 2017-06-27 16h00-17h20 en salle des thèses phillipp KETZ We show that the standard approach to inference in the random coefficients logit model suffers from size distortions. The problem arises due to boundary issues and is aggravated when the model is parameterized with respect to standard deviations, which constitutes common practice. For example, in case of a single random coefficient, the asymptotic size of the nominal 95% confidence interval, which is obtained by inverting the two-sided t-test for the […]