What Does It Take to Become a Good Mathematician?
AbstractUsing an exhaustive database on academic publications in mathematics, we study the patterns of productivity by world mathematicians over the period 1984-2006. We uncover some surprising facts, such as the absence of age related decline in productivity and the relative symmetry of international movements, rejecting the presumption of a massive ”brain drain” towards the U.S. Looking at the U.S. academic market in mathematics, we analyze the determinants of success by top departments. In conformity with recent studies in other fields, we find that selection effects are much stronger than local interaction effects: the best departments are most successful in hiring the most promising mathematicians, but not necessarily at stimulating positive externalities among them. Finally we analyze the impact of career choices by mathematicians: mobility almost always pays, but early specialization does not.
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Bibliographic InfoPaper provided by Toulouse School of Economics (TSE) in its series TSE Working Papers with number 10-160.
Date of creation: May 2010
Date of revision:
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- D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
- I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
- J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
- L31 - Industrial Organization - - Nonprofit Organizations and Public Enterprise - - - Nonprofit Institutions; NGOs
This paper has been announced in the following NEP Reports:
- NEP-ALL-2010-10-02 (All new papers)
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