IDEAS home Printed from https://ideas.repec.org/a/kap/atlecj/v50y2022i3d10.1007_s11293-022-09756-3.html
   My bibliography  Save this article

Effects of Deflation and Macroeconomic Shocks on Leisure Spending in the Pre-War Era: Evidence from Major League Baseball, 1890–1940

Author

Listed:
  • Ran Tao

    (Lake Forest College and University of Wisconsin)

  • Richard C. K. Burdekin

    (Claremont McKenna College)

  • David Berri

    (Southern Utah University)

Abstract

Pre-war baseball attendance data afford a unique opportunity to assess how leisure spending fared not only through deflation but also after such shocks as the Spanish Flu of 1918 and the 1929 Wall Street Crash. Long-run analysis via a vector error correction model (VECM) reveals significant cointegration of baseball attendance with both prices and output. A long-run positive relationship with prices offers evidence of a negative impact of deflation on leisure spending, suggesting that deflation is indeed more to be feared than inflation. There are also apparent parallels between the post-pandemic boom in leisure spending in 1919 and the post-2020 experience.

Suggested Citation

  • Ran Tao & Richard C. K. Burdekin & David Berri, 2022. "Effects of Deflation and Macroeconomic Shocks on Leisure Spending in the Pre-War Era: Evidence from Major League Baseball, 1890–1940," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 50(3), pages 119-132, December.
    • Handle: RePEc:kap:atlecj:v:50:y:2022:i:3:d:10.1007_s11293-022-09756-3
    DOI: 10.1007/s11293-022-09756-3
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11293-022-09756-3
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11293-022-09756-3?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    2. Zivot, Eric & Andrews, Donald W K, 2002. "Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 25-44, January.
    3. Wicker, Elmus R., 1966. "A Reconsideration of Federal Reserve Policy during the 1920–1921 Depression," The Journal of Economic History, Cambridge University Press, vol. 26(2), pages 223-238, June.
    4. Leo Wolman, 1933. "Wages during the Depression," NBER Books, National Bureau of Economic Research, Inc, number wolm33-1.
    5. Leo Wolman, 1933. "Wages during the Depression," NBER Chapters, in: Wages during the Depression, pages 1-6, National Bureau of Economic Research, Inc.
    6. Richard C. K. Burdekin, 2021. "Death and the stock market: international evidence from the Spanish Flu," Applied Economics Letters, Taylor & Francis Journals, vol. 28(17), pages 1512-1520, October.
    7. Milton Friedman & Anna J. Schwartz, 1963. "A Monetary History of the United States, 1867–1960," NBER Books, National Bureau of Economic Research, Inc, number frie63-1.
    8. Johansen, Soren, 1995. "Likelihood-Based Inference in Cointegrated Vector Autoregressive Models," OUP Catalogue, Oxford University Press, number 9780198774501.
    9. Anthony C. Krautmann & David J. Berri, 2007. "Can We Find It at the Concessions? Understanding Price Elasticity in Professional Sports," Journal of Sports Economics, , vol. 8(2), pages 183-191, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. John D. Levendis, 2018. "Time Series Econometrics," Springer Texts in Business and Economics, Springer, number 978-3-319-98282-3, June.
    2. Wilton Bernardino & João B. Amaral & Nelson L. Paes & Raydonal Ospina & José L. Távora, 2022. "A statistical investigation of a stock valuation model," SN Business & Economics, Springer, vol. 2(8), pages 1-25, August.
    3. Brittle, Shane, 2009. "Ricardian Equivalence and the Efficacy of Fiscal Policy in Australia," Economics Working Papers wp09-10, School of Economics, University of Wollongong, NSW, Australia.
    4. Ma, Tao & Zhou, Zhou & Antoniou, Constantinos, 2018. "Dynamic factor model for network traffic state forecast," Transportation Research Part B: Methodological, Elsevier, vol. 118(C), pages 281-317.
    5. David Greasley & Les Oxley, 2010. "Cliometrics And Time Series Econometrics: Some Theory And Applications," Journal of Economic Surveys, Wiley Blackwell, vol. 24(5), pages 970-1042, December.
    6. Mighri, Zouheir & Ragoubi, Hanen & Sarwar, Suleman & Wang, Yihan, 2022. "Quantile Granger causality between US stock market indices and precious metal prices," Resources Policy, Elsevier, vol. 76(C).
    7. Cuma Bozkurt & M. Akif Destek, 2015. "Renewable Energy and Sustainable Development Nexus in Selected OECD Countries," International Journal of Energy Economics and Policy, Econjournals, vol. 5(2), pages 507-514.
    8. Niels Haldrup & Robinson Kruse & Timo Teräsvirta & Rasmus T. Varneskov, 2013. "Unit roots, non-linearities and structural breaks," Chapters, in: Nigar Hashimzade & Michael A. Thornton (ed.), Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 4, pages 61-94, Edward Elgar Publishing.
    9. Md Shahiduzzaman & Allan Layton & Khorshed Alam, 2015. "On the contribution of information and communication technology to productivity growth in Australia," Economic Change and Restructuring, Springer, vol. 48(3), pages 281-304, November.
    10. Philip Arestis & Hüseyin Şen & Ayşe Kaya, 2021. "On the linkage between government expenditure and output: empirics of the Keynesian view versus Wagner’s law," Economic Change and Restructuring, Springer, vol. 54(2), pages 265-303, May.
    11. Fantazzini, Dean & Toktamysova, Zhamal, 2015. "Forecasting German car sales using Google data and multivariate models," International Journal of Production Economics, Elsevier, vol. 170(PA), pages 97-135.
    12. Schanne, Norbert, 2015. "A Global Vector Autoregression (GVAR) model for regional labour markets and its forecasting performance with leading indicators in Germany," IAB-Discussion Paper 201513, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    13. Zhang, Jianhong & Jacobs, Jan & Witteloostuijn, Arjen van, 2004. "Multinational enterprises, foreign direct investment and trade in China : A cointegration and Granger-causality approach," CCSO Working Papers 200413, University of Groningen, CCSO Centre for Economic Research.
    14. Oyeyinka OMOSHORO-JONES, 2020. "Investigating The Government Revenue–Expenditure Nexus: Empirical Evidence For The Free State Province In A Multivariate Model," Theoretical and Practical Research in the Economic Fields, ASERS Publishing, vol. 11(2), pages 138-156.
    15. Liming Zhao & Liang Zhao & Bing-Fu Chen, 2017. "The interrelationship between defence spending, public expenditures and economic growth: evidence from China," Defence and Peace Economics, Taylor & Francis Journals, vol. 28(6), pages 703-718, November.
    16. Kühl, Michael, 2010. "Bivariate cointegration of major exchange rates, cross-market efficiency and the introduction of the Euro," Journal of Economics and Business, Elsevier, vol. 62(1), pages 1-19, January.
    17. Zou, Gao Lu, 2012. "The long-term relationships among China's energy consumption sources and adjustments to its renewable energy policy," Energy Policy, Elsevier, vol. 47(C), pages 456-467.
    18. Zhai, Jun & Kuusela, Olli-Pekka, 2023. "An econometric study of Oregon's log and lumber markets: Estimation of price elasticities using two approaches," Forest Policy and Economics, Elsevier, vol. 149(C).
    19. Caporale, Guglielmo Maria & Hunter, John & Menla Ali, Faek, 2014. "On the linkages between stock prices and exchange rates: Evidence from the banking crisis of 2007–2010," International Review of Financial Analysis, Elsevier, vol. 33(C), pages 87-103.
    20. Giancarlo Corsetti & Panagiotis T. Konstantinou, 2012. "What Drives US Foreign Borrowing? Evidence on the External Adjustment to Transitory and Permanent Shocks," American Economic Review, American Economic Association, vol. 102(2), pages 1062-1092, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:kap:atlecj:v:50:y:2022:i:3:d:10.1007_s11293-022-09756-3. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.