Alignment is a widely adopted technique in the field of microsimulation for social and economic policy research. However, limited research has been devoted to the understanding of their simulation properties. This paper discusses and evaluates six common alignment algorithms used in the dynamic...

More than 10 years ago O’Donoghue (2001a) surveyed the dynamic microsimulation models that had been developed up to that point. However many of the barriers mentioned have been gradually overcome in the last decade . This paper surveys the development and practices in dynamic microsimulation...

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...

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...

Dynamic microsimulation models applied to economics were first introduced in the United States at the end of the 1960’s. Since the 1980’s, they have been rapidly developing due to the increase in computational capabilities and to the availability of longitudinal data. Dynamic microsimulation...

We analyse the complex dynamic feedback effects between different life domains over the life course, providing a quantification of the direct (not mediated) and indirect (mediated) effects. To extend the analysis in scope and time beyond the limitations of existing data, we use a rich dynamic...

We analyse the complex dynamic feedback effects between different life domains over the life course, providing a quantification of the direct (not mediated) and indirect (mediated) effects. To extend the analysis in scope and time beyond limitation of existing data, we use a rich dynamic...

This paper has been prepared as the first in a series of papers associated with the development of the Australian Population and Policy Simulation Model (APPSIM). The APPSIM dynamic population microsimulation model is being developed as part of an Australian Research Council (ARC) Linkage grant...