Grid enabling empirical economics: A microdata application

Simon Peters, Ken Clark, Pascal Ekin, Anja Le Blanc, Stephen Pickles

Research output: Contribution to journalArticlepeer-review


This article discusses the use of Grid technology to integrate the data, computation and presentation elements of an empirical economic modelling process. We achieve this by using a form of statistical data fusion developed in the poverty mapping literature to address a substantive issue: determining United Kingdom ethnic minority welfare. Elements of this methodology appear to be well suited to such grid-enablement, and we present and illustrate our implementation using the context of this microdata application. © Springer Science+Business Media, LLC 2007.
Original languageEnglish
Pages (from-to)349-370
Number of pages21
JournalComputational Economics
Issue number4
Publication statusPublished - Nov 2007


  • Census data
  • e-Social Science
  • Grid technology
  • Statistical data fusion
  • Survey data
  • Visualization
  • Welfare measures


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