This paper analyzes the implications of unobserved heterogeneity in discrete-time, discrete-choice microsimulation models. We compare the predictions coming from simple pooled probit estimates with those obtained using random effect dynamic probit models, in a dynamic microsimulation of...

This paper studies the dependence between coupled lives - both within and across generations - and its effects on prices of reversionary annuities in the presence of longevity risk. Longevity risk is represented via a stochastic mortality intensity. Dependence is modelled through copula...

Forecasting based on random intercepts models requires imputation of the individual permanent effects to the simulated individuals. When these individuals enter the simulation with a history of past outcomes this involves sampling from conditional distributions, which might be unfeasible. I...

We study and calibrate a cohort-based model which captures the characteristics of a mortality surface with a parsimonious, continuous-time fac- tor approach. The model allows for imperfect correlation of mortality intensity across generations. It is implemented on UK data for the period...

In labor markets with worker and firm heterogeneity, the matching between firms and workers may be assortative, meaning that the most productive workers and firms team up. We investigate this with longitudinal population-wide matched employer-employee data from Portugal. Using dynamic panel data...

Aim of this work is to evaluate the overall effect of social origins on secondary school track enrolment in Italy, Germany and Netherlands, allowing for consistent cross country comparisons. PISA 2003 is employed. Track choices are assumed to depend on student's ability and social origins; since...

This paper uses longitudinal data from the BHPS, waves 1-8, to document low-income dynamics and persistence for individuals living in Britain in the 1990s. Poverty exit and re-entry rates are estimated and the resulting distribution of time spent in poverty is calculated, both in single and in...

In this paper we use doubly stochastic processes (or Cox processes) in order to model the random evolution of mortality of an individual. These processes have been widely used in the credit risk literature in modelling default arrival, and in this context have proved to be quite flexible,...

Stochastic mortality, i.e. modelling death arrival via a jump process with stochastic intensity, is gaining increasing reputation as a way to rep- resent mortality risk. This paper represents a .rst attempt to model the mortality risk of couples of individuals, according to the stochastic inten-...