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Regime switching and wages in major league baseball under the reserve clause

Author

Listed:
  • Michael Haupert

    (Department of Economics, University of Wisconsin—La Crosse, 1725 State St, La Crosse, WI 54601, USA)

  • James Murray

    (Department of Economics, University of Wisconsin—La Crosse, 1725 State St, La Crosse, WI 54601, USA)

Abstract

Over the course of the twentieth century, American wages increased by a factor of about 100, while the wages of professional baseball players increased by a factor of 450, but that increase was neither smooth nor consistent. We use a unique and expansive dataset of salaries and performance variables of Major League Baseball pitchers that spans over 400 players and 60 years during the reserve clause era to identify factors that determine salaries and examine how the importance of various factors have changed over time. We employ a Markov regime-switching regression model borrowed from the macroeconomics literature, which allows regression coefficients to switch exogenously between two or more values as time progresses. This method lets us identify changes in wage determination that may have occurred because of a change in the league’s competitiveness, a change in the relative bargaining power between players and teams, or other factors that may be unknown or unobservable. We find that even though Major League Baseball was a tightly controlled monopsony with the reserve clause, there was a significant shift in salary determination that lasted from the Great Depression until after World War II where players’ salaries were more highly linked to their recent performance.

Suggested Citation

  • Michael Haupert & James Murray, 2012. "Regime switching and wages in major league baseball under the reserve clause," Cliometrica, Journal of Historical Economics and Econometric History, Association Française de Cliométrie (AFC), vol. 6(2), pages 143-162, May.
  • Handle: RePEc:afc:cliome:v:6:y:2012:i:2:p:143-162
    DOI: 10.1007/s11698-011-0067-2
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    Citations

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    Cited by:

    1. Zhang, Feipeng & Li, Qunhua, 2017. "A continuous threshold expectile model," Computational Statistics & Data Analysis, Elsevier, vol. 116(C), pages 49-66.
    2. Bradbury, John Charles, 2017. "Monopsony and competition: The impact of rival leagues on player salaries during the early days of baseball," Explorations in Economic History, Elsevier, vol. 65(C), pages 55-67.

    More about this item

    Keywords

    Major League Baseball; Salary determination; Markov regime switching;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

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