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

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: 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: Event study; Event study; Imputation

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: ECIN-Nov-2022-0504

Geographic Coverage: USA

Time Period(s): 1970 – 2019 (baseball seasons)

Collection Date(s): 2022 – 2023

Universe: Major League Baseball teams

Data Type(s): event/transaction data

Methodology

Data Source: online

Retrosheet.org
Team Marketing Report (proprietary)

Collection Mode(s): web scraping

Unit(s) of Observation: 110,000 games

Related Publications

Download this project

Published Versions

V2 [2023-04-10]

V1 [2023-04-07]

Export Metadata

Dublin Core

DDI 2.5

Report a Problem

Found a serious problem with the data, such as disclosure risk or copyrighted content? Let us know.

This material is distributed exactly as received from the data depositor. As of April 2026, depositors are required to submit study materials in accessible formats. ICPSR has not reviewed, checked, or processed this material. For additional information about the study, please contact the investigator(s) directly. If you have questions about the accessibility of materials distributed by ICPSR or require further assistance, please visit ICPSR's Accessibility Center.