IDEAS home Printed from https://ideas.repec.org/a/taf/japsta/v39y2012i3p477-488.html
   My bibliography  Save this article

Female athletic participation and income: evidence from a latent class model

Author

Listed:
  • Steven B. Caudill
  • James E. Long
  • Franklin G. Mixon

Abstract

This paper introduces and applies an EM algorithm for the maximum-likelihood estimation of a latent class version of the grouped-data regression model. This new model is applied to examine the effects of college athletic participation of females on incomes. No evidence for an “athlete” effect in the case of females has been found in the previous work by Long and Caudill [12], Henderson et al. [10], and Caudill and Long [5]. Our study is the first to find evidence of a lower wage for female athletes. This effect is present in a regime characterizing 42% of the sample. Further analysis indicates that female athletes in many otherwise low-paying jobs actually get paid less than non-athletes.

Suggested Citation

  • Steven B. Caudill & James E. Long & Franklin G. Mixon, 2012. "Female athletic participation and income: evidence from a latent class model," Journal of Applied Statistics, Taylor & Francis Journals, vol. 39(3), pages 477-488, June.
  • Handle: RePEc:taf:japsta:v:39:y:2012:i:3:p:477-488
    DOI: 10.1080/02664763.2011.596194
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/02664763.2011.596194
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/02664763.2011.596194?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. McDonald, James B. & Xu, Yexiao J., 1996. "A comparison of semi-parametric and partially adaptive estimators of the censored regression model with possibly skewed and leptokurtic error distributions," Economics Letters, Elsevier, vol. 51(2), pages 153-159, May.
    2. Racine, Jeff & Li, Qi, 2004. "Nonparametric estimation of regression functions with both categorical and continuous data," Journal of Econometrics, Elsevier, vol. 119(1), pages 99-130, March.
    3. John Robst & Jack Keil, 2000. "The relationship between athletic participation and academic performance: evidence from NCAA Division III," Applied Economics, Taylor & Francis Journals, vol. 32(5), pages 547-558.
    4. McDonald, James B., 1996. "An application and comparison of some flexible parametric and semi-parametric qualitative response models," Economics Letters, Elsevier, vol. 53(2), pages 145-152, November.
    5. Michael T. Maloney & Robert E. McCormick, 1993. "An Examination of the Role That Intercollegiate Athletic Participation Plays in Academic Achievement: Athletes' Feats in the Classroom," Journal of Human Resources, University of Wisconsin Press, vol. 28(3), pages 555-570.
    6. Mark B. Stewart, 1983. "On Least Squares Estimation when the Dependent Variable is Grouped," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 50(4), pages 737-753.
    7. McDonald, James B. & Newey, Whitney K., 1988. "Partially Adaptive Estimation of Regression Models via the Generalized T Distribution," Econometric Theory, Cambridge University Press, vol. 4(3), pages 428-457, December.
    8. Steven Caudill & James Long, 2010. "Do former athletes make better managers? Evidence from a partially adaptive grouped-data regression model," Empirical Economics, Springer, vol. 39(1), pages 275-290, August.
    9. Hamparsum Bozdogan, 1987. "Model selection and Akaike's Information Criterion (AIC): The general theory and its analytical extensions," Psychometrika, Springer;The Psychometric Society, vol. 52(3), pages 345-370, September.
    10. Long, James E & Caudill, Steven B, 1991. "The Impact of Participation in Intercollegiate Athletics on Income and Graduation," The Review of Economics and Statistics, MIT Press, vol. 73(3), pages 525-531, August.
    11. Stanley Sclove, 1987. "Application of model-selection criteria to some problems in multivariate analysis," Psychometrika, Springer;The Psychometric Society, vol. 52(3), pages 333-343, September.
    12. Eide, Eric R. & Ronan, Nick, 2001. "Is participation in high school athletics an investment or a consumption good?: Evidence from high school and beyond," Economics of Education Review, Elsevier, vol. 20(5), pages 431-442, October.
    13. Sarstedt, Marko, 2006. "Sample- and segment-size specific Model Selection in Mixture Regression Analysis," Discussion Papers in Business Administration 1252, University of Munich, Munich School of Management.
    14. Phillips, Robert F., 1994. "Partially adaptive estimation via a normal mixture," Journal of Econometrics, Elsevier, vol. 64(1-2), pages 123-144.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Bianca Biagi & Maria Giovanna Brandano & Steven B. Caudill, 2016. "Tourism and house prices in Italy," Tourism Economics, , vol. 22(5), pages 964-978, October.
    2. Jerome Segura III & Jonathan Willner, 2019. "Athleticism in NCAA D-III: It Ain’t Only Football That Matters," Journal of Sports Economics, , vol. 20(7), pages 929-958, October.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Steven Caudill & James Long, 2010. "Do former athletes make better managers? Evidence from a partially adaptive grouped-data regression model," Empirical Economics, Springer, vol. 39(1), pages 275-290, August.
    2. Katherine G. Yewell & Steven B. Caudill & Franklin G. Mixon, Jr., 2014. "Referee Bias and Stoppage Time in Major League Soccer: A Partially Adaptive Approach," Econometrics, MDPI, vol. 2(1), pages 1-19, February.
    3. Steven Caudill, 2012. "A partially adaptive estimator for the censored regression model based on a mixture of normal distributions," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 21(2), pages 121-137, June.
    4. Pfeifer, Christian & Cornelißen, Thomas, 2010. "The impact of participation in sports on educational attainment--New evidence from Germany," Economics of Education Review, Elsevier, vol. 29(1), pages 94-103, February.
    5. Katie Schultz, 2017. "Do High School Athletes Get Better Grades During the Off-Season?," Journal of Sports Economics, , vol. 18(2), pages 182-208, February.
    6. Mario Nosvelli, 2023. "Mens sana in corpore sano: the effects of sport on children’s learning in Italy," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 40(2), pages 703-729, July.
    7. Michael A. Insler & Jimmy Karam, 2019. "Do Sports Crowd Out Books? The Impact of Intercollegiate Athletic Participation on Grades," Journal of Sports Economics, , vol. 20(1), pages 115-153, January.
    8. Olbrecht, Alexandre, 2009. "Do academically deficient scholarship athletes earn higher wages subsequent to graduation?," Economics of Education Review, Elsevier, vol. 28(5), pages 611-619, October.
    9. Jason Cook & James McDonald, 2013. "Partially Adaptive Estimation of Interval Censored Regression Models," Computational Economics, Springer;Society for Computational Economics, vol. 42(1), pages 119-131, June.
    10. Daniel J. Henderson & Alexandre Olbrecht & Solomon W. Polachek, 2006. "Do Former College Athletes Earn More at Work?: A Nonparametric Assessment," Journal of Human Resources, University of Wisconsin Press, vol. 41(3).
    11. Michael Lechner & Paul Downward, 2017. "Heterogeneous sports participation and labour market outcomes in England," Applied Economics, Taylor & Francis Journals, vol. 49(4), pages 335-348, January.
    12. Robert Metcalfe & Simon Burgess and Steven Proud, 2011. "Student effort and educational attainment: Using the England football team to identify the education production function," Economics Series Working Papers 586, University of Oxford, Department of Economics.
    13. Jerome Segura III & Jonathan Willner, 2019. "Athleticism in NCAA D-III: It Ain’t Only Football That Matters," Journal of Sports Economics, , vol. 20(7), pages 929-958, October.
    14. Lechner, Michael & Fricke, Hans & Steinmayr, Andreas, 2017. "The Effect of Physical Activity on Student Performance in College: An Experimental Evaluation," CEPR Discussion Papers 12052, C.E.P.R. Discussion Papers.
    15. Fricke, Hans & Lechner, Michael & Steinmayr, Andreas, 2018. "The effects of incentives to exercise on student performance in college," Economics of Education Review, Elsevier, vol. 66(C), pages 14-39.
    16. Pfeifer Christian & Seidel Katja, 2020. "Students’ Time Allocation and School Performance: A Comparison between Student Jobs, Sports and Music Participation," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 240(5), pages 607-652, October.
    17. P Wesley Routon & Jay K Walker, 2015. "Student-Athletes? The Impact of Intercollegiate Sports Participation on Academic Outcomes," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 41(4), pages 592-611, September.
    18. Randall A. Lewis & James B. McDonald, 2014. "Partially Adaptive Estimation of the Censored Regression Model," Econometric Reviews, Taylor & Francis Journals, vol. 33(7), pages 732-750, October.
    19. Emmanuel Afuecheta & Idika E. Okorie & Saralees Nadarajah & Geraldine E. Nzeribe, 2024. "Forecasting Value at Risk and Expected Shortfall of Foreign Exchange Rate Volatility of Major African Currencies via GARCH and Dynamic Conditional Correlation Analysis," Computational Economics, Springer;Society for Computational Economics, vol. 63(1), pages 271-304, January.
    20. Brad R. Humphreys & Jane E. Ruseski, 2006. "Economic Determinants of Participation in Physical Activity and Sport," IASE Conference Papers 0619, International Association of Sports Economists.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:japsta:v:39:y:2012:i:3:p:477-488. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/CJAS20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.