The paper proposes a Bayesian multinomial logit model to analyse spatial patterns of urban expansion. specification assumes that the log-odds each class follow autoregressive proce...

In this research, we contrast different modeling frameworks that offer alternative ways of capturing observed/unobserved heterogeneity. The model systems compared are: ordered logit, residential location cluster based ordered logit model (exogenous segmentation), mixed ordered logit, latent segmentation based ordered logit model, and a joint copula based self-selection clustering model. While t...

BACKGROUND For analyzing a repeated ordinal response, it is common to use a multivariate cumulative logit model. This model may fit poorly, especially when a nonsymmetric response is available. In these cases, alternative strategies should be utilized. METHODS In this paper, we present a family of power transformations for the cumulative probabilities to model asymmetric departures from the r...

The purpose of this study is to empirically investigate variation in the migration behaviour across individuals. Both a random parameters logit (RPL) and a standard logit model are employed. The migration models are estimated using a register-based data from Finland. The RPL model proves to be a flexible way to control for random variation in the parameters: the results suggest that many migrat...