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
  codebooks 12/21/2020 04:14:PM
  data 12/21/2020 04:17:PM
  exhibits 12/21/2020 04:16:PM
  output 12/21/2020 04:14:PM
  raw 12/21/2020 06:19:PM
  temp 12/21/2020 04:18:PM
LICENSE.txt text/plain 8.5 KB 02/25/2021 09:50:AM
README.txt text/plain 17.8 KB 02/25/2021 11:06:AM
all_data.dta application/x-stata 2.3 GB 12/21/2020 07:02:AM
batter_robustness.do text/x-stata-syntax 2.6 KB 12/21/2020 06:57:AM

Project Citation: 

Bhattacharya, Vivek, and Howard, Greg. Data and Code for: Rational Inattention in the Infield. Nashville, TN: American Economic Association [publisher], 2022. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2022-10-21. https://doi.org/10.3886/E129501V1

Project Description

Summary:  View help for Summary 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:  View help for Subject Terms behavioral economics; rational inattention; cognitive costs
JEL Classification:  View help for JEL Classification
      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:  View help for Geographic Coverage United States
Time Period(s):  View help for Time Period(s) 2008 – 2017
Collection Date(s):  View help for Collection Date(s) 2/6/2020 – 2/6/2020 (Date MLB GameDay data was scraped)
Universe:  View help for Universe Major League Baseball players
Data Type(s):  View help for Data Type(s) event/transaction data
Collection Notes:  View help for Collection Notes The data is collected from the following sources:
Further details and licensing information can be found in README.txt and LICENSE.txt.

Methodology

Unit(s) of Observation:  View help for Unit(s) of Observation Actions (usually pitches) in a baseball game

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Published Versions

V1 [2022-10-21]

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Dublin Core

DDI 2.5

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