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Measuring productivity of research in economics: A cross-country study using DEA

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  • Kocher, Martin G.
  • Luptácik, Mikulás
  • Sutter, Matthias

Abstract

We measure productivity in leading edge economic research by using data envelopment analysis (DEA) for a sample of 21 countries belonging to the Organization for Economic Cooperation and Development (OECD). Publications in ten top journals of economics from 1980 to 1998 are taken as the research output. Inputs are measured by R&D expenditure, the number of universities with economics departments and (as an uncontrollable variable) population. Under constant returns-to-scale, the US emerges as the only efficient country. Under variable returns-to-scale, the efficiency frontier is defined by the US, Ireland and New Zealand. With the exception of the US, all countries in our sample display increasing returns-to-scale, and thus have the potential to raise their efficiency by scaling up their research activities.

Suggested Citation

  • Kocher, Martin G. & Luptácik, Mikulás & Sutter, Matthias, 2006. "Measuring productivity of research in economics: A cross-country study using DEA," Munich Reprints in Economics 18192, University of Munich, Department of Economics.
  • Handle: RePEc:lmu:muenar:18192
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    More about this item

    JEL classification:

    • A11 - General Economics and Teaching - - General Economics - - - Role of Economics; Role of Economists
    • A14 - General Economics and Teaching - - General Economics - - - Sociology of Economics
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity

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