ECIN Replication Package for "Anticipating the Honeymoon: Event Study Estimation of New Stadium Effects in Major League Baseball Using the Imputation Method"

Principal Investigator(s):  View help for Principal Investigator(s) Stefan Szymanski, University of Michigan

Version:  View help for Version V2

Name File Type Size Last Modified
Figures 2, 7 and Table 3 ICPSR.xlsx application/vnd.openxmlformats-officedocument.spreadsheetml.sheet 8.5 MB 04/07/2023 06:01:PM
MLB MSA income and population 1970-2019 ICPSR.xlsx application/vnd.openxmlformats-officedocument.spreadsheetml.sheet 75.9 KB 04/07/2023 06:33:PM
Readme ICPSR.docx application/vnd.openxmlformats-officedocument.wordprocessingml.document 25.1 KB 04/10/2023 11:16:AM
Tables 1,2,4,5,6,7 and figures 1 & 8 ICPSR.xlsx application/vnd.openxmlformats-officedocument.spreadsheetml.sheet 37.5 KB 04/07/2023 06:29:PM
Tables A1-A3 and figures 3-6 ICPSR.xlsx application/vnd.openxmlformats-officedocument.spreadsheetml.sheet 122.1 KB 04/07/2023 04:35:PM
baseball-ICPSR.do text/plain 17.3 KB 04/10/2023 07:53:AM
baseball_game_level_ICPSR.dta application/x-stata-dta 8.7 MB 04/10/2023 01:48:PM
baseball_season_ICPSR.dta application/x-stata-dta 79.3 KB 04/10/2023 06:35:AM

Project Citation: 

Szymanski, Stefan. ECIN Replication Package for “Anticipating the Honeymoon:  Event Study Estimation of New Stadium Effects in Major League Baseball Using the Imputation Method.” Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2023-04-10. https://doi.org/10.3886/E185802V2

Project Description

Summary:  View help for Summary This paper estimates the impact of new stadiums on attendance and revenues of Major League Baseball teams between 1970 and 2019. Recent studies have shown that conventional two-way fixed effects (TWFE) models may produce biased estimate and propose an “imputation” method instead. This paper uses the imputation method to generate a counterfactual estimate, based on untreated observations, so that the average treatment effect on the treated (ATT) equals the difference between actual and counterfactual estimates. Additionally, almost ideal unconditional estimates of the ATT are calculated, using a subset of the control group consisting of games played in the same season against treated teams. These approaches reveal that there were significant anticipation effects associated with new stadiums, up to three seasons before opening. They suggest that previous estimates may significantly understate the revenue gains from new stadiums.

Scope of Project

Subject Terms:  View help for Subject Terms Event study; Event study; Imputation
JEL Classification:  View help for JEL Classification
      C21 Single Equation Models; Single Variables: Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions
      L83 Sports; Gambling; Restaurants; Recreation; Tourism
      Z20 Sports Economics: General
Manuscript Number:  View help for Manuscript Number ECIN-Nov-2022-0504
Geographic Coverage:  View help for Geographic Coverage USA
Time Period(s):  View help for Time Period(s) 1970 – 2019 (baseball seasons)
Collection Date(s):  View help for Collection Date(s) 2022 – 2023
Universe:  View help for Universe Major League Baseball teams
Data Type(s):  View help for Data Type(s) event/transaction data

Methodology

Data Source:  View help for Data Source online

Retrosheet.org
Team Marketing Report (proprietary)
Collection Mode(s):  View help for Collection Mode(s) web scraping
Unit(s) of Observation:  View help for Unit(s) of Observation 110,000 games

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Published Versions

V2 [2023-04-10]

V1 [2023-04-07]

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