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
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
A review of spatial microsimulation methods
Robert Tanton
Research articleHTML + PDF
Volume 7(1) Spring 2014
Methodology
Spatial microsimulation modelling: A review of applications and methodological choices
Cathal O’Donoghue et al.
Research articleHTML + PDF
Volume 7(1) Spring 2014
Methodology
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
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
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
On weights in dynamic-ageing microsimulation models
Gijs Dekkers, Richard Cumpston
Research noteHTML + PDF
Volume 5(2) Autumn 2012