Browse our latest Methodology articles

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    1. Methodology

    The MicSim package of R: An entry-level toolkit for continuous-time microsimulation

    Sabine Zinn
    Volume 7(3) Winter 2014
    1. Methodology
    2. Labour supply and demand
    3. Dynamic microsimulation

    Imputing individual effects in dynamic microsimulation models an application to household formation and labour market participation in Italy

    Matteo Richiardi, Ambra Poggi
    Volume 7(2) Autumn 2014
    1. Methodology
    2. Spatial microsimulation

    Comparing two methods of reweighting a survey file to small area data

    Robert Tanton et al.
    Volume 7(1) Spring 2014
    1. Methodology
    2. Spatial microsimulation

    A review of spatial microsimulation methods

    Robert Tanton
    Volume 7(1) Spring 2014
    1. Methodology
    2. Spatial microsimulation

    Spatial microsimulation modelling: A review of applications and methodological choices

    Cathal O’Donoghue et al.
    Volume 7(1) Spring 2014
    1. Methodology
    2. Labour supply and demand

    A new equilibrium simulation procedure with discrete choice models

    Ugo Colombino
    Volume 6(3) Winter 2013
    1. Methodology

    Testing the Statistical Significance of Microsimulation Results: A Plea

    Tim Goedemé et al.
    Volume 6(3) Winter 2013
    1. Methodology
    2. Dynamic microsimulation

    A survey of dynamic microsimulation models: Uses, model structure and methodology

    Jinjing Li, Cathal O’Donoghue
    Volume 6(2) Autumn 2013
    1. Methodology
    2. Dynamic microsimulation

    On weights in dynamic-ageing microsimulation models

    Gijs Dekkers, Richard Cumpston
    Volume 5(2) Autumn 2012
    1. Methodology

    A mate-matching algorithm for continuous-time microsimulation models

    Sabine Zinn
    Volume 5(1) Spring 2012
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