Team Production and Factor Substitution in Major League Baseball

In this paper, we estimate a translog production function for Major League Baseball (MLB) teams that uses factor inputs for hitting, pitching and defence over the 1960–2024 MLB seasons. The computed elasticities of substitution suggest that hitting and pitching are used in fixed proportions, while both hitting and pitching are highly substitutable for defence. Teams that used a designated hitter (DH) substituted hitting and defence to a much greater degree than those without a DH. The widespread adoption of analytics after the 1995 season increased the substitution of pitching and defence markedly but not hitting and defence. These results call into question the widespread use of the Cobb–Douglas production function in estimating the marginal revenue products of players.

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Publication Details

Journal
International Journal of Empirical Economics
Published
2025-05-30
DOI
https://doi.org/10.1142/s2810943025500064
Primary Topic
Sports Analytics and Performance
Type
article
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article

Team Production and Factor Substitution in Major League Baseball

Duane W. Rockerbie
International Journal of Empirical Economics
Sports Analytics and Performance
article

Team Production and Factor Substitution in Major League Baseball

Duane W. Rockerbie
article en

Abstract

In this paper, we estimate a translog production function for Major League Baseball (MLB) teams that uses factor inputs for hitting, pitching and defence over the 1960–2024 MLB seasons. The computed elasticities of substitution suggest that hitting and pitching are used in fixed proportions, while both hitting and pitching are highly substitutable for defence. Teams that used a designated hitter (DH) substituted hitting and defence to a much greater degree than those without a DH. The widespread adoption of analytics after the 1995 season increased the substitution of pitching and defence markedly but not hitting and defence. These results call into question the widespread use of the Cobb–Douglas production function in estimating the marginal revenue products of players.

International Journal of Empirical EconomicsVol. 04(03)
University of Lethbridge (CA)
Openalex Percentile: Top 83%
Sports Analytics and Performance
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