Given falling birth rates, ageing baby boomers approaching retirement age as well as a pension crisis in most advanced economies, understanding the characteristics of the labour supply function of the elderly have taken on a new significance. Even in developing countries, with labour surplus...

Jobs offer different wages and different non-monetary working conditions. This paper investigates how the demand for non-monetary aspects evolves over changing wealth levels. Wages do not perfectly compensate individuals for differential utility of jobs in a labour market with informational...

Dynamic microsimulation modelling involves two stages: estimation and forecasting. Unobserved heterogeneity is often considered in estimation, but not in forecasting, beyond trivial cases. Non-trivial cases involve individuals that enter the simulation with a history of previous outcomes. We...

This paper develops a simulation estimation algorithm that is particularly useful for estimating dynamic panel data models with unobserved endogenous state variables. The new approach can easily deal with the commonly encountered and widely discussed “initial conditions problem,” as well as...

The motivation of this paper is to investigate the characteristics of the British labour force, using data from the BHPS (British Household Panel Survey). The goal is to examine whether there are statistically significant differences between the unemployed and non participants, as well as inside...

This paper develops a simulation estimation algorithm that is particularly useful for estimating dynamic panel data models with unobserved endogenous state variables. The new approach can easily deal with the commonly encountered and widely discussed "initial conditions problem," as well as the...

Dynamic microsimulation modeling involves two stages: estimation and forecasting. Unobserved heterogeneity is often considered in estimation, but not in forecasting, beyond trivial cases. Non-trivial cases involve individuals that enter the simulation with a history of previous outcomes. We show...

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...

Dynamic microsimulation modeling involves two stages: estimation and forecasting. Unobserved heterogeneity is often considered in estimation, but not in forecasting, beyond trivial cases. Non-trivial cases involve individuals that enter the simulation with a history of previous outcomes. We show...