Economics at your fingertips  

Relation of early career performance and recognition to the probability of winning the Nobel Prize in economics

Ho F. Chan, Franklin G. Mixon () and Benno Torgler
Additional contact information
Ho F. Chan: Queensland University of Technology
Franklin G. Mixon: Columbus State University
Benno Torgler: Queensland University of Technology

Scientometrics, 2018, vol. 114, issue 3, 1069-1086

Abstract: Abstract To explore the relation between early career performance or recognition and receiving the Nobel Prize in Economic Sciences, we compare winners of the John Bates Clark Medal, the most prestigious early career recognition for economists, with other successful scholars. The initial comparison combines JBCM winners with scholars published in leading economics journals, controlling for educational background (institution conferring the Ph.D.) and publication and citation success. We then narrow the comparison group down to those given relatively early recognition (based on age category) in the form of other major awards. Lastly, we compare the JBCM awardees with synthetic counterfactuals that best resemble their pre-award academic career performance. All three analyses provide strong support for the notion that winning the JBCM is related to receiving the Nobel Prize, the award of which is also correlated with early career performance success as measured by number of publications and citations.

Keywords: Nobel Prize; John Bates Clark Medal; Awards; Early recognition; Career; Citations; Publications; Counterfactuals; Matching (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2) Track citations by RSS feed

Downloads: (external link) Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link:

Ordering information: This journal article can be ordered from

Access Statistics for this article

Scientometrics is currently edited by Wolfgang Glänzel

More articles in Scientometrics from Springer, Akadémiai Kiadó
Bibliographic data for series maintained by Sonal Shukla ().

Page updated 2019-05-21
Handle: RePEc:spr:scient:v:114:y:2018:i:3:d:10.1007_s11192-017-2614-5