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Grid-Enabled Micro-Econometric Data Analysis (GEMEDA)

Principal Investigator – Dr Simon Peters, University of Manchester
Contact - simon.peters @ manchester.ac.uk
Website - http://pascal.mvc.mcc.ac.uk:9080/gemeda

Recent trends in e-science towards seamless interfacing between remote data locations and remote high performance computing clusters have not yet been widely applied in economics. This pilot project aimed to measure and demonstrate the effectiveness of such a system applied to the micro-econometric analysis of the welfare of ethnic minority groups in the UK. Building on an experimental grid-enabled framework for a macro-economic problem, the project developed methods of fusing data from complementary data sets in order to allow new research questions to be addressed. The key aims of this project were:

  • To investigate and demonstrate the feasibility of performing grid-enabled micro-econometric analysis by extending an existing e-science framework for macro-economic data analysis
  • To investigate the potential of constructing matched/data-fused data from original, separate grid-enabled sources
  • To investigate the potential gains of performing modern micro-econometric analysis on high performance computers

Presentations

P D F documentGrid Enabled Data Fusion for Calculating Poverty Measures
S. Peters, P. Ekin, A. LeBlanc, K. Clark, S. Pickles
AHM 2006, Nottingham, 18 – 21 September 2006

P D F documentUsing the GRID to analyse linked datasets
S. Peters, University of Manchester
ESRC Research Methods Festival, Oxford, 17 – 20 July 2006

Publications

Grid Enabled Data Fusion for Calculating Poverty Measures (241KB)
S. Peters, P. Ekin, A. Leblanc, K. Clark, S. Pickles (2006)
Procedings of the UK e-Science All Hands Meeting 2006

Grid Enabling Empirical Economics: A Microdata Application
S. Peters, K. Clark, P. Ekin, A. Le Blanc, S. Pickles (2007)
Available in Computational Economics at this DOI

ESRC End of Award Report

ESRC Non-technical Summary