The use of mathematics in economics and its effect on a scholar's academic career
AbstractThere has been so much debate on the increasing use of formal methods in Economics. Although there are some studies tackling these issues, those use either a little amount of papers, a small amount of scholars or a short period of time. We try to overcome these challenges constructing a database characterizing the main socio-demographic and academic output of a survey of 438 scholars divided into three groups: Economics Nobel Prize winners; scholars awarded with at least one of six worldwide prestigious economics recognitions; and academic faculty randomly selected from the top twenty economics departments. We give statistical evidence on the increasing trend of number of equations and econometric outputs per article, showing that for each of these variables there have been four structural breaks and three of them have been increasing ones. Therefore, we provide concrete measures of mathematization in Economics. Furthermore, we found that the use and training in mathematics has a positive correlation with the probability of winning a Nobel Prize in certain cases. It also appears that being an empirical researcher as measured by the average number of econometrics outputs has a negative correlation with someone's academic career success.
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 41341.
Date of creation: Sep 2012
Date of revision:
Nobel Prize; Mathematics; Economics; Reputation;
Find related papers by JEL classification:
- N01 - Economic History - - General - - - Development of the Discipline: Historiographical; Sources and Methods
- B3 - Schools of Economic Thought and Methodology - - History of Economic Thought: Individuals
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
This paper has been announced in the following NEP Reports:
- NEP-ALL-2012-09-22 (All new papers)
- NEP-EDU-2012-09-22 (Education)
- NEP-HIS-2012-09-22 (Business, Economic & Financial History)
- NEP-HME-2012-09-22 (Heterodox Microeconomics)
- NEP-HPE-2012-09-22 (History & Philosophy of Economics)
- NEP-SOG-2012-09-22 (Sociology of Economics)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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Blog mentionsAs found by EconAcademics.org, the blog aggregator for Economics research:
- Mathematics, Econometrics and the top economist's career outcomes
by Economic Logician in Economic Logic on 2012-10-08 14:15:00
- 10 Tuesday PM Reads
by Barry Ritholtz in The Big Picture on 2012-10-09 20:30:35
- Mathematics, Economics, & the Nobel Prize
by Dave Giles in Econometrics Beat: Dave Giles' Blog on 2012-10-09 18:55:00
by himaginary in himaginaryの日記 on 2012-10-19 07:00:00
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