There is a growing interest from a wide variety of sources in information pertaining to the characteristics of residents of small geographical areas together with their associated activity patterns. Reliance on the use of conventional aggregate data sources combined with the British Government's reluctance to make available microdata in the form of a public-use data set has restricted the type of questions analysts have been able to ask. The application of a methodology for generating synthetic microdata from a number of different aggregate sources is reported. The resultant information system can be used in a flexible manner to produce distributions not currently available from aggregate sources. Additionally, the microdata form direct inputs into microsimulation models. The application described has been undertaken with Leeds Metropolitan District as the system of interest and a wide range of outputs is produced to illustrate the method.
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References
1.
BirkinMClarkeG, 1987, “Synthetic data generation and the evaluation of urban performance: A labour market example”, paper prepared for the fifth European Colloquium on Quantitative Theoretical Geography, Bardoneccia; copies available from the first author
2.
BirkinMClarkeM, 1986, “Comprehensive dynamic models: Integrating macro- and micro-approaches”, in Transformations through Space and Time: An Analysis of Non-linear Structures, Bifurcation Points and Autoregressive Dependencies Eds GriffithD AHainingR P, (Martinus Nijhoff, The Hague) pp 165–191
3.
BirkinMClarkeM, 1988, “The generation of individual and household incomes at the small area level using SYNTHESIS”, WP-500, School of Geography, University of Leeds, Leeds
4.
BlalockH M, 1972Social Statistics2nd edition (McGraw-Hill, Tokyo)
5.
ClarkeM, 1984Integrating Dynamic Models of Urban Structure and Activities: An Application to Urban Retail Systems unpublished PhD thesis, School of Geography, University of Leeds, Leeds
6.
ClarkeM, 1986, “Demographic forecasting and household dynamics: A micro-simulation approach”, in Population Structures and Models Eds WoodsRReesP H, (Allen and Unwin, Hemel Hempstead, Herts) pp 245–272
7.
ClarkeMHolmE, 1987, “Micro-simulation methods in human geography and planning: A review and further extensions”Geografiska Annaler69B145–164
8.
ClarkeMLangleyPWilliamsH C W L, 1988, “Asset accumulation and subsidy in the British housing system: A microsimulation approach”Papers of the Regional Science Association forthcoming
9.
ClarkeMSpowageM, 1985, “Integrated models for public policy analysis: An example of the practical use of simulation models in health care planning”Papers and Proceedings of the Regional Science Association5525–48
10.
ClarkeMWilsonA G, 1986, “A framework for dynamic comprehensive urban models: Accounting and micro-simulation approaches”Sistemi Urbaninumber 2/3, pp 145–177
11.
FienbergS E, 1970, “An iterative procedure for estimation in contingency tables”Annals of Mathematical Statistics41907–917
12.
FienbergS E, 1977The Analysis of Cross-classified Categorical Data (MIT Press, Cambridge, MA)
OrcuttG HCaldwellSWertheimerR, 1976Policy Exploration through Micro-Simulation (The Urban Institute, Washington, DC)
15.
OrcuttG HMerzJQuinkeM, (Eds), 1986Microanalytic Simulation Models to Support Social and Financial Policy (North-Holland, Amsterdam)
16.
OPCS, 1982Census 1981: SAS Standard Table Layouts and Cell Numbers User Guide 52 (HMSO, London)
17.
OPCS, 1983a, “Population estimates 1981”, Series PP1, number 6, Office of Population Censuses and Surveys (HMSO, London)
18.
OPCS, 1983b, “Census 1981: Great Britain. County of birth”, Office of Population Censuses and Surveys (HMSO, London)
19.
OPCS, 1984, “Census 1981: Great Britain. Household and family composition”Office of Population Censuses and Surveys (HMSO, London)
20.
PaasG, 1986, “Statistical match: Evaluation of existing procedures and improvements by using additional information”, in Microanalytic Simulation Models to Support Social and Financial Policy Eds OrcuttG HMerzJQuinkeH, (North-Holland, Amsterdam)
21.
RadnerDAllenRGonzalerM EJabineT BMullerH J, 1980, “Report on exact and statistical matching techniques”, Statistical WP-5, US Department of Commerce, Washington, DC
22.
ReesP H, 1986, “Choices in the construction of regional population projections”, in Population Structures and Models Eds WoodsRReesP H, (Allen and Unwin, Hemel Hempstead, Herts) pp 97–124
23.
ReesP HBirkinM, 1984, “Census-based information systems for ethnic groups: A study of Leeds and Bradford”Environment and Planning A161551–1571
24.
ReesP HClarkeHDuleyC, 1987, “A model for updating individual and household populations”, WP-486, School of Geography, University of Leeds, Leeds
