Grid enabling empirical economics: A microdata application

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

Research output: Contribution to journalArticlepeer-review

Abstract

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
Volume30
Issue number4
DOIs
Publication statusPublished - Nov 2007

Keywords

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

Fingerprint

Dive into the research topics of 'Grid enabling empirical economics: A microdata application'. Together they form a unique fingerprint.

Cite this