Accounting for Complementary Skill Sets When Evaluating NBA Players’ Values to a Specific Team


Abstract: We test for a “hot hand” (i.e., short-term predictability in performance) in Major League Baseball using panel data.  We find strong evidence for its existence in all ten statistical categories we consider. The magnitudes are significant; being “hot” corresponds to between one-half and one standard deviation in the distribution of player abilities. Our results are in notable contrast to the majority of the hot-hand literature, which has found little to no evidence for a hot hand in sports, often employing basketball shooting data.  We argue that this difference is attributable to endogenous defensive responses: basketball presents sufficient opportunity for transferring defensive resources to equate shooting probabilities across players whereas baseball does not.  We then document that baseball teams do respond to recent success in their opponents’ batting performance.  Our results suggest that teams use recent performance in a manner that is roughly consistent with drawing a correct inference about the magnitude of the hot-hand. However, there is a tendency for teams to overreact to very recent performance (i.e., the last 5 attempts).

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