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Academic Performance and Salary Expectations of Competitive and Recreational Athletes vs. Inactive Students

Author

Listed:
  • Laura Urgelles

    (University of Paderborn)

  • Bernd Frick

    (University of Paderborn)

Abstract

The aim of the present study was to find out whether salary expectations vary with the different types of athletic involvements. Previous studies based on high school pupil data show that the involvement in sports is beneficial for the grade but only to a certain degree. That is, during the high season of sport, athletes’ grades deteriorate (Schultz, 2017). At the college and university level, most studies find a positive relation between athletic participation and grades (Fricke et al., 2018). Labor economists have identified numerous positive effects of athletic participation, including a higher salary for athletes (Kuhn & Weinberger, 2005; Lechner & Downward, 2017) and former athletes (Ewing, 2007). We conducted an own survey among German university and college students during the summer semester 2016 and obtained a data set with information on sports participation for 4,592 students. Based on this information we group our participants in three athlete types: inactive students (IS), recreational athletes (RA) and competitive athletes (CA). We analyze three equations in a system of seemingly unrelated regression (SUR) with a three-stage least square estimator. Our (alternative) dependent variables are the current average grade, the number of semesters needed to acquire the degree, and the salary expectations. We find that CA expect a significantly higher salary than their inactive peers. CA tend to study longer until they achieve their degrees. We also find that the higher the weekly hours spent on sports, the lower is the student’s grade. The higher the amount of hours spent studying however, the better the grade and the faster the student achieves the degree.

Suggested Citation

  • Laura Urgelles & Bernd Frick, 2022. "Academic Performance and Salary Expectations of Competitive and Recreational Athletes vs. Inactive Students," Working Papers Dissertations 89, Paderborn University, Faculty of Business Administration and Economics.
  • Handle: RePEc:pdn:dispap:89
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    More about this item

    Keywords

    higher education; academic performance; athlete types; sports; seemingly unrelated regressions;
    All these keywords.

    JEL classification:

    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism
    • Z20 - Other Special Topics - - Sports Economics - - - General
    • Z29 - Other Special Topics - - Sports Economics - - - Other

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