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Articles

Salary Distribution and Team Outcome: The Comparison of MLB and KBO

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Pages 149-163 | Received 09 Feb 2018, Accepted 26 Sep 2018, Published online: 08 Feb 2019

References

  • Ahn, S. C., Lee, Y. H., & Schmidt, P. (2007). Stochastic frontier models with multiple time-varying individual effects. Journal of Productivity Analysis, 27(1), 1–12.
  • Aigner, D., Lovell, C. K., & Schmidt, P. (1977). Formulation and estimation of stochastic frontier production function models. Journal of Econometrics, 6(1), 21–37.
  • Battese, G. E., & Coelli, T. J. (1992). Frontier production functions, technical efficiency and panel data: With application to paddy farmers in India (pp. 149–165). Netherlands: Springer.
  • Battese, G. E., & Coelli, T. J. (1995). A model for technical inefficiency effects in a stochastic frontier production function for panel data. Empirical Economics, 20(2), 325–332.
  • Battese, G. E., & Corra, G. S. (1977). Estimation of a production frontier model: With application to the pastoral zone of Eastern Australia. Australian Journal of Agricultural Economics, 21(3), 169–179.
  • Berri, S. M. (2000). A statistician reads the sports pages: Modeling offensive ability in baseball. Chance, 13(4), 56–60.
  • Berri, D. J., & Jewell, R. T. (2004). Wage inequality and firm performance: Professional Basketball's Natural Experiment. Atlantic Economic Journal, 32(2), 130–139.
  • Breunig, R., Garrett-Rumba, B., Jardin, M., & Rocaboy, Y. (2014). Wage dispersion and team performance: A theoretical model and evidence from baseball. Applied Economics, 46(3), 271–281.
  • Caudill, S. B., Ford, J. M., & Gropper, D. M. (1995). Frontier estimation and firm-specific inefficiency measures in the presence of heteroskedasticity. Journal of Business and Economic Statistics, 13(1), 105–111.
  • Coates, D., Frick, B., & Jewell, R. T. (2016). Superstar salaries and soccer success the impact of designated players in major league soccer. Journal of Sports Economics, 17(7), 716–735.
  • Cornwell, C., Schmidt, P., & Sickles, R. (1990). Production frontiers with cross-sectional and time-series variation in efficiency levels. Journal of Econometrics, 46(1-2), 185–200.
  • Cyrenne, P. (2018). Salary inequality, team success, league policies, and the superstar effect. Contemporary Economic Policy, 36(1), 200–214.
  • Debrock, L., Hendricks, W., & Koenker, R. (2004). Pay and performance the impact of salary distribution on firm-level outcomes in baseball. Journal of Sports Economics, 5(3), 243–261.
  • Demmink, H. III, (2010). Value of stealing bases in major league baseball. Public Choice, 142(3-4), 497–505.
  • Depken II, C. A. (2000). Wage disparity and team productivity: evidence from major league baseball. Economics letters, 67(1), 87–92.
  • Depken, C. A., & Lureman, J. (2018). Wage disparity, team performance, and the 2005 NHL collective bargaining agreement. Contemporary Economic Policy, 36(1), 192–199.
  • Einolf, K. W. (2004). Is winning everything? A data envelopment analysis of major league baseball and the national football league. Journal of Sports Economics, 5(2), 127–151.
  • Fort, R., Lee, Y. H., & Berri, D. (2008). Race, technical efficiency and retention. The case of NBA coaches. International Journal of Sport Finance, 3(2), 84–97.
  • Franck, E., & Nüesch, S. (2011). The effect of wage dispersion on team outcome and the way team outcome is produced. Applied Economics, 43(23), 3037–3049.
  • Frick, B., Prinz, J., & Winkelmann, K. (2003). Pay inequalities and team performance: Empirical evidence from the North American major leagues. International Journal of Manpower, 24(4), 472–488.
  • Greene, W. H. (1990). A gamma-distributed stochastic frontier model. Journal of Econometrics, 46(1-2), 141–163.
  • Healy, A. (2008). Do firms have short memories? Evidence from major league baseball. Journal of Sports Economics, 9(4), 407–424.
  • Hakes, J. K., & Turner, C. (2011). Pay, productivity and aging in major league baseball. Journal of Productivity Analysis, 35(1), 61–74.
  • Huang, C. J., & Liu, J.-T. (1994). Estimation of a non-neutral stochastic frontier production function. Journal of Productivity Analysis, 5(2), 171–180.
  • Jewell, R. T., McPherson, M. A., & Molina, D. J. (2004). The effect of salary distribution on production: An analysis of major league baseball. Economic Inquiry, 42(3), 469–482.
  • Kahn, L. M. (1993). Free agency, long-term contracts and compensation in major league baseball: Estimates from panel data. The Review of Economics and Statistics, 75(1) 157–164.
  • Katayama, H., & Nuch, H. (2011). A game-level analysis of salary dispersion and team performance in the National Basketball Association. Applied Economics, 43(10), 1193–1207.
  • Kumbhakar, S. C., Ghosh, S., & Mcguckin, J. T. (1991). A generalized production approach for estimating determinants of inefficiency in U.S. dairy farms. Journal of Business and Economic Statistics, 9(3), 279–286.
  • Lazear, E. P., & Rosen, S. (1981). Rank-order tournaments as optimum labor contracts. Journal Ofpohotal Economy, 89(5): 841–864.
  • Lee, Y. H. (2011). Is the small-ball strategy effective in winning games? A stochastic frontier production approach. Journal of Productivity Analysis, 35(1), 51–59.
  • Lee, Y. H., & Schmidt, P. (1993). A production frontier model with flexible temporal variation in technical inefficiency. In H. Fried, C. A. K. Lovell & S. Schmidt (Eds.), The measurement of productive efficiency: Techniques and applications. Oxford: Oxford University Press.
  • Lee, Y. H., & Shin, J. (2014). Comparison of stochastic frontier “Effect” models using Monte Carlo simulation. In Festschrift in honor of Peter Schmidt (pp. 259–279). New York: Springer.
  • Levine, D. I. (1991). Cohesiveness, productivity, and wage dispersion. Journal of Economic Behavior and Organization, 15(2), 237–255.
  • Marchand, J. T., Smeeding, T. M., & Torrey, B. B. (2006). Salary distribution and performance: evidence from The National Hockey League. New Delhi: Center for Policy Research.
  • Mondello, M., & Maxcy, J. (2009). The impact of salary dispersion and performance bonuses in NFL organizations. Management Decision, 47(1), 110–123.
  • Meeusen, W., & Van Den Broeck, J. (1977). Efficiency estimation from Cobb-Douglas production functions with composed error. International Economic Review, 18(2), 435–444.
  • Papps, K. L., Bryson, A., & Gomez, R. (2011). Heterogeneous worker ability and team-based production: Evidence from Major League Baseball, 1920–2009. Labour Economics, 18(3), 310–319.
  • Pitt, M. M., & Lee, L. F. (1981). The measurement and sources of technical inefficiency in the Indonesian weaving industry. Journal of Development Economics, 9(1), 43–64.
  • Reifschneider, D., & Stevenson, R. (1991). Systematic departures from the frontier: A framework for the analysis of firm inefficiency. International Economic Review, 32(3), 715–723.
  • Richards, D. G., & Guell, R. C. (1998). Baseball success and the structure of salaries. Applied Economics Letters, 5(5), 291–296.
  • Schmidt, P., & Sickles, R. (1984). Production frontiers and panel data. Journal of Business and Economic Studies, 2(4), 367–374.
  • SeanLahman’s website: http://www.seanlahman.com/baseball-archive/
  • Simmons, R., & Berri, D. J. (2011). Mixing the princes and the paupers: Pay and performance in The National Basketball Association. Labour Economics, 18(3), 381–388.
  • Stefanec, N. (2012). Does pay disparity really hamstring team performance? A study of professional ice hockey players. Sociology Mind, 02(04), 447.
  • Stevenson, R. E. (1980). Likelihood functions for generalized stochastic frontier estimation. Journal of Econometrics, 13(1), 57–66.
  • Wang, H. J. (2002). Heteroscedasticity and non-monotonic efficiency effects of a stochastic frontier model. Journal of Productivity Analysis, 18(3), 241–253.
  • Woolway, M. D. (1997). Using an empirically estimated production function for major league baseball to examine worker disincentives associated with multi-year contracts. The American Economist, 41(2), 77–83.
  • Yamamura, E. (2015). Wage disparity and team performance in the process of industry development evidence from Japan’s Professional Football League. Journal of Sports Economics, 16(2), 214–223.

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