IDEAS home Printed from https://ideas.repec.org/a/bpj/jqsprt/v6y2010i4n6.html
   My bibliography  Save this article

A Markov Process Model of the Number of Years Spent in Major League Baseball

Author

Listed:
  • Krautmann Anthony C.

    (DePaul University)

  • Ciecka James E.

    (DePaul University)

  • Skoog Gary R.

    (DePaul University)

Abstract

We treat the number of years spent in major league baseball as a random variable and estimate probability distributions for this random variable through the use of recursive formulae. Distributional characteristics, including major league baseball worklife expectancies, are estimated for players by age and current activity status in the major leagues. Data from a recent time period (1977-2007) are used to calculate current characteristics of time spent in major league baseball. However, the contemporaneous nature of our data leads to censoring because many players in our data set had not completed their major league careers by the end of 2007. We deal with censoring through a Markov process model that captures transitions between activity and inactivity in major league baseball.

Suggested Citation

  • Krautmann Anthony C. & Ciecka James E. & Skoog Gary R., 2010. "A Markov Process Model of the Number of Years Spent in Major League Baseball," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 6(4), pages 1-25, October.
  • Handle: RePEc:bpj:jqsprt:v:6:y:2010:i:4:n:6
    as

    Download full text from publisher

    File URL: https://www.degruyter.com/view/j/jqas.2010.6.4/jqas.2010.6.4.1263/jqas.2010.6.4.1263.xml?format=INT
    Download Restriction: For access to full text, subscription to the journal or payment for the individual article is required.

    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. Johnny Ducking & Peter Groothuis & James Hill, 2015. "Exit Discrimination in the NFL: A Duration Analysis of Career Length," The Review of Black Political Economy, Springer;National Economic Association, pages 285-299.
    2. Hoang, Ha & Rascher, Dan, 1999. "The NBA, Exit Discrimination, and Career Earnings," MPRA Paper 3542, University Library of Munich, Germany.
    3. Bernd Frick & Gunnar Pietzner & Joachim Prinz, 2007. "Career Duration a Competitive Environment: The Labor Market for Soccer Players in Germany," Eastern Economic Journal, Eastern Economic Association, vol. 33(3), pages 429-442, Summer.
    4. Atkinson, Scott E & Tschirhart, John, 1986. "Flexible Modelling of Time to Failure in Risky Careers," The Review of Economics and Statistics, MIT Press, vol. 68(4), pages 558-566, November.
    5. Johnny Ducking & Peter Groothuis & James Hill, 2015. "Exit Discrimination in the NFL: A Duration Analysis of Career Length," The Review of Black Political Economy, Springer;National Economic Association, pages 285-299.
    Full references (including those not matched with items on IDEAS)

    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:bpj:jqsprt:v:6:y:2010:i:4:n:6. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Peter Golla). General contact details of provider: https://www.degruyter.com .

    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.

    We have no references for this item. You can help adding them by using 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.