The idea of hierarchical, sequential, or intermediate effects has long been posited in textbooks and academic literature. Hierarchical effects occur when relationships among variables are mediated through other variables. Despite the attractive theoretical properties of these models, their...

The marketing literature often argues that the random coefficient logit model gives more realistic results than the homogeneous logit. The purpose of this paper is to show that the random coefficients logit improves upon, but does not completely solve the problems of the homogeneous logit. We...

We explore practical methods of carrying out Lagrange Multiplier tests for variance components in two models in which the derivatives needed for the test are identically zero at the restricted estimates, the random effects probit model and the stochastic frontier model. The techniques are...

This paper considers fixed effects estimation and inference in linear and non-linear panel data models with random coefficients and endogenous regressors. The quantities of interest - means, variances, and other moments of the random coefficients - are estimated by cross sectional sample moments...