Overview
- Features a full-scale, realistic, working simulation model of society based on demographic and social information and transitioning through time
- Contains a comprehensive description of the construction of the working model, together with details of a novel open-source micro-simulation method that will facilitate transfer, application and learning across sites
- Includes worked examples of key policy and substantive questions tested with the simulation model against real data
Part of the book series: Computational Social Sciences (CSS)
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Table of contents (11 chapters)
Keywords
About this book
Authors and Affiliations
About the authors
Roy Lay-Yee is Senior Research Fellow at the COMPASS Research Centre, University of Auckland, New Zealand. His research interests include health services utilisation, use of official data, social simulation,ageing, social determinants and inequalities, and social connectedness.
Bibliographic Information
Book Title: Simulating Societal Change
Book Subtitle: Counterfactual Modelling for Social and Policy Inquiry
Authors: Peter Davis, Roy Lay-Yee
Series Title: Computational Social Sciences
DOI: https://doi.org/10.1007/978-3-030-04786-3
Publisher: Springer Cham
eBook Packages: Social Sciences, Social Sciences (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Hardcover ISBN: 978-3-030-04785-6Published: 12 February 2019
eBook ISBN: 978-3-030-04786-3Published: 16 January 2019
Series ISSN: 2509-9574
Series E-ISSN: 2509-9582
Edition Number: 1
Number of Pages: IX, 245
Number of Illustrations: 7 b/w illustrations, 3 illustrations in colour
Topics: Computational Social Sciences, Demography, Public Policy, Statistics for Social Sciences, Humanities, Law, Data-driven Science, Modeling and Theory Building