A Generalised Beta-Logistic Model for Longitudinal Data with an Application to Residential Mobility

Abstract

The beta-logistic model described by Heckman and Willis in 1977 is generalised to include feedback effects and time-varying variables. The resulting model provides a flexible and analytically tractable framework for inference from longitudinal discrete-time data on recurrent choice. Moreover, consistency with the cross-sectional logit model ensures theoretical plausibility. The statistical and practical problems that have to be confronted in making the model operational are illustrated by an application to data on residential mobility.