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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 V1
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application/vnd.openxmlformats-officedocument.spreadsheetml.sheet | 8.5 MB | 04/07/2023 06:01:PM |
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application/vnd.openxmlformats-officedocument.spreadsheetml.sheet | 75.9 KB | 04/07/2023 06:33:PM |
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application/vnd.openxmlformats-officedocument.spreadsheetml.sheet | 37.5 KB | 04/07/2023 06:29:PM |
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application/vnd.openxmlformats-officedocument.spreadsheetml.sheet | 122.1 KB | 04/07/2023 04:35:PM |
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application/x-stata-dta | 8.9 MB | 04/07/2023 01:50:PM |
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application/x-stata-dta | 357 KB | 04/07/2023 02:07:PM |
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], 2023-04-07. https://doi.org/10.3886/E185802V1
Project Description
Summary:
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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:
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Event study;
Event study;
Imputation
JEL Classification:
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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
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:
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ECIN-Nov-2022-0504
Geographic Coverage:
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USA
Time Period(s):
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1970 – 2019 (baseball seasons)
Collection Date(s):
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2022 – 2023
Universe:
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Major League Baseball teams
Data Type(s):
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event/transaction data
Methodology
Collection Mode(s):
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web scraping
Unit(s) of Observation:
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110,000 games
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