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    1. Labour supply and demand

    What happened to the ‘Great American Jobs Machine’?

    Matteo Richiardi et al.
    Volume 13(1) Spring 2020
    1. Dynamic microsimulation

    A Portable Dynamic Microsimulation Model for Population, Education and Health Applications in Developing Countries

    Martin Spielauer, Olivier Dupriez
    Volume 12(3) Winter 2019
    1. Methodology

    The Hypothetical Household Tool (HHoT) in EUROMOD: a new instrument for comparative research on tax-benefit policies in Europe

    Tine Hufkens et al.
    Volume 12(3) Winter 2019
    1. Spatial Microsimulation, Health

    Spatial microsimulation of osteoarthritis prevalence at the small area level in England – Constraint selection for a 2-stage microsimulation process

    Onosi Sylvia Ifesemen et al.
    Volume 12(2) Summer 2019
    1. Pensions and retirement
    2. Dynamic microsimulation

    The impact of the retirement decision and demographics on pension sustainability: A dynamic microsimulation analysis

    Concepció Patxot et al.
    Volume 11(2) Summer 2018
    1. Methodology
    2. Labour supply and demand
    3. Firm behaviour

    Why complex, data demanding and difficult to estimate agent based models? Lessons from a decades long research program

    Gunnar Eliasson
    Volume 11(1) Spring 2018
    1. Methodology
    2. Dynamic microsimulation

    Increasing the impact of dynamic microsimulation modelling

    Cathal O’Donoghue, Gijs Dekkers
    Volume 11(1) Spring 2018
    1. Micro-macro linkage

    Solving a Partial Equilibrium Model in a CGE Framework: The Case of a Behavioural Microsimulation Model

    Xiao-guang Zhang
    Volume 10(3) Winter 2017
    1. Health

    simSALUD: Design and implementation of an open-source wizard based spatial microsimulation framework

    Melanie N Tomintz et al.
    Volume 10(2) Summer 2017
    1. Spatial microsimulation

    A fine grained hybrid spatial microsimulation technique for generating detailed synthetic individuals from multiple data sources: An application to walking and cycling

    Ian Philips et al.
    Volume 10(1) Spring 2017
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