We provide new cross-country evidence on smoking persistence in Europe, which can be due to both true state dependence and individual unobserved heterogeneity. We distinguish between the two by using semi-parametric nonlinear panel data methods, applied to both the smoking participation and the...

We investigate the consequences of using time-invariant individual effects in panel data models when the unobservables are in fact time-varying. Using data from the British Offending Crime and Justice panel, we estimate a dynamic factor model of the occurrence of a range of illicit activities as...

In this paper I develop an intertemporal discrete choice model of labor supply. The framework incorporates the nonlinearities in the household budget set and accounts for state dependence in labor supply. Based on panel data for Germany (SOEP), I estimate this model using a dynamic conditional...

In this paper some labour market consequences of transitions in the agriculture sector are examined by combining a 20-year unbalanced panel data set from Norwegian farm couples (households) and logit modeling of one-period transition probabilities. The multi-dimensionality of the problem follows...

We provide a comprehensive overview of latent Markov (LM) models for the analysis of longitudinal data. The main assumption behind these models is that the response variables are conditionally independent given a latent process which follows a first-order Markov chain. We first illustrate the...

The relationship between recessions and health is mixed, with some evidence from the most recent financial crisis finding a positive effect on heath behaviours. This study uses longitudinal data spanning the periods before, during and after the Irish crisis of 2008, to test the impact of...

The relationship between recessions and health is mixed, with some evidence from the most recent financial crisis finding a positive effect on heath behaviours. This study uses longitudinal data spanning the periods before, during and after the Irish crisis of 2008, to test the impact of...

We use panel probit models with unobserved heterogeneity and serially correlated errors in order to analyze the determinants and the dynamics of current-account reversals for a panel of developing and emerging countries. The likelihood evaluation of these models requires high-dimensional...

We use panel probit models with unobserved heterogeneity, state-dependence and serially correlated errors in order to analyze the determinants and the dynamics of current-account reversals for a panel of developing and emerging countries. The likelihood-based inference of these models requires...