Data and Code for: Rational Inattention in the Infield
Principal Investigator(s): View help for Principal Investigator(s) Vivek Bhattacharya, Northwestern University; Greg Howard, University of Illinois at Urbana-Champaign
Version: View help for Version V1
Name | File Type | Size | Last Modified |
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winprob | 12/21/2020 04:17:PM | ||
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application/x-stata | 5.1 MB | 12/21/2020 11:17:AM |
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application/x-stata | 1.9 KB | 12/21/2020 11:17:AM |
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application/x-stata | 232 KB | 12/18/2020 05:09:PM |
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application/x-stata | 9.7 KB | 12/19/2020 06:42:AM |
Project Description
Summary:
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This paper provides evidence of rational inattention by experienced professionals in strategic interactions. We add rational inattention to a game of matching pennies with state-dependent payoffs. Unlike the full-information mixed-strategy Nash equilibrium, payoffs of different actions need not be equated state-by-state. Moreover, players respond partially to payoff differences, this responsiveness is stronger when attention costs are lower, strategies converge to full-information Nash as stakes increase, and average payoffs across all states are approximately equal across actions. We test these predictions using data on millions of pitches from Major League Baseball, where we observe strategies, payoffs, and proxies for attention costs.
Scope of Project
Subject Terms:
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behavioral economics;
rational inattention;
cognitive costs
JEL Classification:
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C72 Noncooperative Games
D83 Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
D91 Micro-Based Behavioral Economics: Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
C72 Noncooperative Games
D83 Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
D91 Micro-Based Behavioral Economics: Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
Geographic Coverage:
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United States
Universe:
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Major League Baseball players
Data Type(s):
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event/transaction data
Collection Notes:
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The data is collected from the following sources:
- MLB's Pitchf/x and Gameday systems
- Bill Petti's Baseball Tools website (https://billpetti.github.io/baseball_tools/)
- Fangraphs (www.fangraphs.com)
- ESPN analysis (http://www.espn.com/espn/feature/story/_/id/12331388/the-great-analytics-rankings)
- Baseball Reference (www.baseball-reference.com)
- Greg Stoll's analysis, via Retrosheet (www.retrosheet.org)
- Tom Tango's analysis (www.insidethebook.com)
Methodology
Unit(s) of Observation:
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Actions (usually pitches) in a baseball game
Related Publications
Published Versions
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