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Identifying emerging scholars: seeing through the crystal ball of scholarship selection committees

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  • Vincent Chandler

    (UQO)

Abstract

To better understand the added-value of the academic evaluation process, this paper studies the relationship between scores given by 105 evaluators to 1900 doctoral candidates who received a scholarship and their outcomes 10 years after the competition. I first find that a one point increase in total score is associated with a 1.4 percentage point (2.1% of a s.e.) increase in the probability of completing a Ph.D. in 5 years, with a 1.0 percentage point (2.1% of a s.e.) increase in the probability of completing a Ph.D. in 10 years, and with a 1.4 percentage point increase (3% of a s.e.) in the probability of becoming a tenure-track professor 10 years after the competition. I then use the individual evaluator-candidate scores to provide evidence that male evaluators give higher scores than do female evaluators to students who complete their doctoral program in 5 years. Since there is no difference between scores given by male and female evaluators to candidates who become tenure-track professors, male evaluators seem more focused on shorter time to degree than are female evaluators.

Suggested Citation

  • Vincent Chandler, 2019. "Identifying emerging scholars: seeing through the crystal ball of scholarship selection committees," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(1), pages 39-56, July.
    • Handle: RePEc:spr:scient:v:120:y:2019:i:1:d:10.1007_s11192-019-03120-0
    DOI: 10.1007/s11192-019-03120-0
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    References listed on IDEAS

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    More about this item

    Keywords

    Gender; Prediction; Communication; Selection; Graduate scholarships; Selection; Higher education; Research;
    All these keywords.

    JEL classification:

    • H52 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Education
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination

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