Skip to main content
International Journal of MicrosimulationVolume 11, Issue 1, 1 March 2018, Pages 61-96

Increasing the impact of dynamic microsimulation modelling(Article)

  • O'Donoghue, C.,
  • Dekkers, G.
  Save all to author list
  • aNational University of Ireland, Galway, Ireland
  • bFederal Planning Bureau Belgium, Centre for Sociological Research (CESO), KU Leuven, Belgium

Abstract

This paper considers the degree of progress made by the field of dynamic microsimulation over the past five decades. It highlights the expanding breadth of the field, both in terms of the number of countries and in terms of the broadening policy area. It also outlines concerns in relation to lack of emphasis historically in relation to the transmission of codified and in the sometimes proprietary ownership model. Moving forward, an improved focus on the codification and peer review of methodologies used in the field is suggested. In terms of tacit knowledge transmission, the organisation of more regional meetings of the International Microsimulation Association is encouraged. In terms of future areas for model development, the opportunities are to incorporate behaviour to a greater extent, utilise more data in the big data revolution, to increase the field of microsimulation into new policy areas, and to share code and work in networks. Finally, the role of peer review is highlighted. © 2018 International Microsimulation Association.

Author keywords

Knowledge transferMicrosimulation modelling
  • ISSN: 17475864
  • Source Type: Journal
  • Original language: English
  • Document Type: Article
  • Publisher: International Microsimulation Association


© Copyright 2021 Elsevier B.V., All rights reserved.

Cited by 3 documents

Burgard, J.P. , Dieckmann, H. , Krause, J.
A generic business process model for conducting microsimulation studies
(2020) Statistics in Transition
Siripanich, A. , Rashidi, T.H.
Dymium: A modular microsimulation modelling framework for integrated urban modelling
(2020) SoftwareX
Andreassen, L. , Fredriksen, D. , Gjefsen, H.M.
The dynamic cross-sectional microsimulation model MOSART
(2020) International Journal of Microsimulation
View details of all 3 citations
{"topic":{"name":"Microsimulation; Synthetic Populations; Agent-Based Model","id":25070,"uri":"Topic/25070","prominencePercentile":69.37792,"prominencePercentileString":"69.378","overallScholarlyOutput":0},"dig":"702bf87784da0b01e6789fe5814dbc873592296134a4085f51b7e5b717c7e4e8"}

SciVal Topic Prominence

Topic:
Prominence percentile: