We show how to quickly estimate spatial probit models for large data sets using maximum likelihood. Like Beron and Vijverberg (2004), we use the GHK (Geweke-Hajivassiliou-Keene) algorithm to perform maximum simulated likelihood estimation. However, using the GHK for large sample sizes has been...

Based on data from broadly representative surveys among more than 1,400 citizens in Germany and Sweden, this paper empirically examines the support of different groups of climate-related (passenger) transport policy measures targeting vehicle use, public transport, air travel, and bicycle use....

In this paper we discuss parameter identification and likelihood evaluation for multinomial multiperiod Probit models. It is shown in particular that the standard autoregressive specification used in the literature can be interpreted as a latent common factor model. However, this specification...

Modeling and estimating autocorrelated discrete data can be challenging. In this paper, we use an autoregressive panel probit model where the autocorrelation in the discrete variable is driven by the autocorrelation in the latent variable. In such a non-linear model, the autocorrelation in an...

Discrete variables that have an inherent sense of ordering across outcomes are commonly found in large datasets available to many economists, and are often the focus of research. However, assumptions underlying the standard Ordered Probit (which is usually used to analyse such variables) are not...

This study applies a full information maximum likelihood (FIML) estimator of the sample selection model with bivariate selection rule for the investigation of the impact of subsidised firm foundation from unemployment on employment growth of the firm. The empirical analysis is based on the ZEW...

Discrete variables that have an inherent sense of ordering across outcomes are commonly found in large datasets available to many economists, and are often the focus of research. However, assumptions underlying the standard Ordered Probit (which is usually used to analyse such variables) are not...

This study applies a full information maximum likelihood (FIML) estimator of the sample selection model with bivariate selection rule for the investigation of the impact of subsidised firm foundation from unemployment on employment growth of the firm. The empirical analysis is based on the ZEW...