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Using SimBritain to Model the Geographical Impact of National Government Policies
Author(s) -
Ballas Dimitris,
Clarke Graham,
Dorling Danny,
Rossiter David
Publication year - 2007
Publication title -
geographical analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.773
H-Index - 65
eISSN - 1538-4632
pISSN - 0016-7363
DOI - 10.1111/j.1538-4632.2006.00695.x
Subject(s) - microsimulation , product (mathematics) , government (linguistics) , population , order (exchange) , wage , geography , working population , regional science , small area estimation , payment , economics , estimation , finance , labour economics , transport engineering , demography , engineering , sociology , linguistics , philosophy , geometry , mathematics , management
In this article, we use a dynamic spatial microsimulation model of Britain for the analysis of the geographical impact of policies that have been implemented in Britain in the last 10 years. In particular, we show how spatial microsimulation can be used to estimate the geographical and socio‐economic impact of the following policy developments: introduction of the minimum wage, winter fuel payments, working families tax credits, and new child and working credits. This analysis is carried out with the use of the SimBritain model , which is a product of a 3‐year research project aimed at dynamically simulating urban and regional populations in Britain. SimBritain projections are based on a method that uses small area data from past Censuses of the British population in order to estimate small‐area data for 2001, 2011, and 2021.