SimBritain: a spatial microsimulation approach to population dynamics

In this paper we present an account of a 3-year research project that is aimed at dynamically simulating urban and regional populations in Britain. In the context of this project we are using data from the 1991 UK Census Small Area Statistics (SAS) and the British Household Panel Survey (BHPS), in order to dynamically simulate the entire population of Britain into 2021 at the small area level. This paper discusses the structure, aims and objectives of SimBritain and presents some preliminary results. Firstly, alternative spatial microsimulation strategies are discussed and their advantages and drawbacks are outlined. Next, the difficulties in calibrating and validating dynamic microsimulation models such as SimBritain are highlighted and ways to tackle these difficulties are explored. The paper then presents some model outputs that highlight the geographical variation of a wide range of socio-economic variables through the 1990s. Moreover, in light of these outputs, the paper discusses the potential of SimBritain for policy analysis.

[1]  Pieter Hooimeijer.  A life course approach to urban dynamics: state of the art in and research , 1996 .

[2]  Einar Holm,et al.  Building a spatial microsimulation model , 1999 .

[3]  Paul Williamson,et al.  An evaluation of the combinatorial optimisation approach to the creation of synthetic microdata , 2000 .

[4]  P. McLoone,et al.  Inequalities in life and death: what if Britain were more equal? , 2001 .

[5]  D. Dorling,et al.  Anatomy of a labour landslide: The constituency system and the 1997 general election , 1998 .

[6]  N. Brimblecombe,et al.  Migration and geographical inequalities in health in Britain. , 2000, Social science & medicine.

[7]  Graham Clarke,et al.  Modelling Regional Changes in US Household Income and Wealth: A Research Agenda , 1998 .

[8]  D. Dorling,et al.  Social Polarisation 1971 - 1991: A Micro-Geographical Analysis of Britain , 1996 .

[9]  Martin Clarke,et al.  The Generation of Individual and Household Incomes at the Small Area Level using Synthesis , 1989 .

[10]  Urban Lindgren,et al.  Simulating an entire nation , 1996 .

[11]  Joachim Merz,et al.  Microsimulation -- A survey of principles, developments and applications , 1991 .

[12]  C. Marsh,et al.  Samples of anonymised records from the 1991 census. , 1992 .

[13]  Angela Dale,et al.  The 1991 census user's guide , 1995 .

[14]  P H Rees,et al.  The Estimation of Population Microdata by Using Data from Small Area Statistics and Samples of Anonymised Records , 1998, Environment & planning A.

[15]  Martin Clarke,et al.  Synthesis—A Synthetic Spatial Information System for Urban and Regional Analysis: Methods and Examples , 1988 .

[16]  C. Marsh,et al.  The sample of anonymised records. , 1991, ESRC Data Archive bulletin.

[17]  Joachim Merz,et al.  Microanalytic simulation models to support social and financial policy , 1986 .

[18]  Graham Clarke,et al.  GIS and microsimulation for local labour market analysis , 2000 .

[19]  D. Piachaud,et al.  Reducing child poverty in Britain: an assessment of government policy, 1997-2001. , 2001, Economic journal.

[20]  C. Holt.  Author's retrospective on ‘Forecasting seasonals and trends by exponentially weighted moving averages’ , 2004 .

[21]  Graham Clarke,et al.  Building a Dynamic Spatial Microsimulation Model for Ireland , 2005 .

[22]  Graham Clarke,et al.  Modelling the Local Impacts of National Social Policies: A Spatial Microsimulation Approach , 2001 .

[23]  Graham Clarke,et al.  Microsimulation for urban and regional policy analysis , 1996 .

[24]  D. Dorling,et al.  Geography Matters: Simulating the Local Impacts of National Social Policies , 2004 .

[25]  Graham Clarke,et al.  Exploring Microsimulation methodologies for the estimation of household attributes , 1999 .

[26]  Angela Dale,et al.  Analyzing Census Microdata , 2000 .