Methodology

Methodology
The MicSim package of R: An entry-level toolkit for continuous-time microsimulation
Sabine Zinn
Research articleHTML + PDF
Volume 7(3) Winter 2014
Methodology
New Pathways to Microsimulation, by G. Dekkers, M. Keegan and C. O’Donoghue (2014)
Denisa Maria Sologon
Book reviewHTML + PDF
Volume 7(3) Winter 2014
Methodology, Labour supply and demand, Dynamic microsimulation
Imputing individual effects in dynamic microsimulation models an application to household formation and labour market participation in Italy
Matteo Richiardi, Ambra Poggi
Research articleHTML + PDF
Volume 7(2) Autumn 2014
Methodology, Spatial microsimulation
A review of spatial microsimulation methods
Robert Tanton
Research articleHTML + PDF
Volume 7(1) Spring 2014
Methodology, Spatial microsimulation
Spatial microsimulation modelling: A review of applications and methodological choices
Cathal O’Donoghue et al.
Research articleHTML + PDF
Volume 7(1) Spring 2014
Methodology, Spatial microsimulation
Comparing two methods of reweighting a survey file to small area data
Robert Tanton et al.
Research articleHTML + PDF
Volume 7(1) Spring 2014
Methodology, Labour supply and demand
A new equilibrium simulation procedure with discrete choice models
Ugo Colombino
Research articleHTML + PDF
Volume 6(3) Winter 2013
Methodology
Testing the Statistical Significance of Microsimulation Results: A Plea
Tim Goedemé et al.
Research articleHTML + PDF
Volume 6(3) Winter 2013
Methodology, Dynamic microsimulation
A survey of dynamic microsimulation models: Uses, model structure and methodology
Jinjing Li, Cathal O’Donoghue
Research articleHTML + PDF
Volume 6(2) Autumn 2013
Methodology, Dynamic microsimulation
On weights in dynamic-ageing microsimulation models
Gijs Dekkers, Richard Cumpston
Research noteHTML + PDF
Volume 5(2) Autumn 2012