-
A high-dimensional multinomial logit model (replication data)
The number of parameters in a standard multinomial logit model increases linearly with the number of choice alternatives and number of explanatory variables. Since many modern... -
Testing Identifying Assumptions in Bivariate Probit Models (replication data)
This paper considers the bivariate probit model's identifying assumptions: linear index specification, joint normality of errors, instrument exogeneity, and relevance. First, we...
