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Predicting early career productivity of PhD economists: does advisor-match matter?


García-Suaza, Andrés; Otero, Jesús; Winkelmann, Rainer (2020). Predicting early career productivity of PhD economists: does advisor-match matter? Scientometrics, 122(1):429-449.

Abstract

We assess the role played by department rank and advisor-match on the early stage productivity of recent PhDs in economics using a tailor-made data set based on RePEc. After allowing for the potential influence of other factors, including gender and field of specialisation, we find as expected that both advisory quality and rank of the graduation institution are positively related to the academic productivity of graduates. However, in top institutions, students working with the most productive academics do not outperform others unless they co-author with their advisor. For students in non-top institutions, being advised by the best academics is always associated with a higher research output. Possible explanations for this difference are pointed out, including selection and differences in advising styles.

Abstract

We assess the role played by department rank and advisor-match on the early stage productivity of recent PhDs in economics using a tailor-made data set based on RePEc. After allowing for the potential influence of other factors, including gender and field of specialisation, we find as expected that both advisory quality and rank of the graduation institution are positively related to the academic productivity of graduates. However, in top institutions, students working with the most productive academics do not outperform others unless they co-author with their advisor. For students in non-top institutions, being advised by the best academics is always associated with a higher research output. Possible explanations for this difference are pointed out, including selection and differences in advising styles.

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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Economics
Dewey Decimal Classification:330 Economics
Uncontrolled Keywords:General social sciences, library and information sciences, computer science applications, academic career, research performance, RePEC, economic research
Language:English
Date:January 2020
Deposited On:12 Feb 2020 13:48
Last Modified:21 Feb 2020 13:12
Publisher:Springer
ISSN:0138-9130
Additional Information:This is a post-peer-review, pre-copyedit version of an article published in Scientometrics. The final authenticated version is available online at: https://doi.org/10.1007/s11192-019-03277-8
OA Status:Closed
Publisher DOI:https://doi.org/10.1007/s11192-019-03277-8

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