IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v513y2019icp447-455.html

Gravity model for dyadic Olympic competition

Author

Listed:
  • Choi, Hyeseung
  • Woo, Hyungsoo
  • Kim, Ji-Hyun
  • Yang, Jae-Suk

Abstract

In the Olympic Games, professional athletes representing their nations compete regardless of economic, political and cultural differences. In this study, we apply gravity model to observe characteristics, represented by ‘distances’ among nations that directly compete against one another in the Summer Olympics. We use dyadic data consisting of medal winning nations in the Olympic Games from 1952 to 2016. To compare how the dynamics changed during and after the Cold War period, we partitioned our data into two time periods (1952–1988 and 1992–2016). Our research is distinguishable from previous studies in that we newly introduce application of gravity model in observing the dynamics of the Olympic Games. Our results show that for the entire study period, countries that engaged each other in competition in the finals of an Olympic event tend to be similar in economic size. After the Cold War, country pairs that compete more frequently tend to be similar in genetic origin.

Suggested Citation

  • Choi, Hyeseung & Woo, Hyungsoo & Kim, Ji-Hyun & Yang, Jae-Suk, 2019. "Gravity model for dyadic Olympic competition," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 513(C), pages 447-455.
    • Handle: RePEc:eee:phsmap:v:513:y:2019:i:c:p:447-455
    DOI: 10.1016/j.physa.2018.09.045
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S037843711831166X
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
    File URL: https://libkey.io/10.1016/j.physa.2018.09.045?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

    for a different version of it.

    References listed on IDEAS

    as
    1. Enrico Spolaore & Romain Wacziarg, 2015. "Ancestry, Language and Culture," NBER Working Papers 21242, National Bureau of Economic Research, Inc.
    2. Martijn Burger & Frank van Oort & Gert-Jan Linders, 2009. "On the Specification of the Gravity Model of Trade: Zeros, Excess Zeros and Zero-inflated Estimation," Spatial Economic Analysis, Taylor & Francis Journals, vol. 4(2), pages 167-190.
    3. Lewer, Joshua J. & Van den Berg, Hendrik, 2008. "A gravity model of immigration," Economics Letters, Elsevier, vol. 99(1), pages 164-167, April.
    4. Vagenas, George & Vlachokyriakou, Eleni, 2012. "Olympic medals and demo-economic factors: Novel predictors, the ex-host effect, the exact role of team size, and the “population-GDP” model revisited," Sport Management Review, Elsevier, vol. 15(2), pages 211-217.
    5. Robert Hoffmann & Lee Chew Ging & Bala Ramasamy, 2002. "Public policy and olympic success," Applied Economics Letters, Taylor & Francis Journals, vol. 9(8), pages 545-548.
    6. Estrella Gómez-Herrera, 2013. "Comparing alternative methods to estimate gravity models of bilateral trade," Empirical Economics, Springer, vol. 44(3), pages 1087-1111, June.
    7. Picci, Lucio, 2010. "The internationalization of inventive activity: A gravity model using patent data," Research Policy, Elsevier, vol. 39(8), pages 1070-1081, October.
    8. Fourie, Johan & Santana-Gallego, María, 2011. "The impact of mega-sport events on tourist arrivals," Tourism Management, Elsevier, vol. 32(6), pages 1364-1370.
    9. Andrew K. Rose & Mark M. Spiegel, 2011. "The Olympic Effect," Economic Journal, Royal Economic Society, vol. 121(553), pages 652-677, June.
    10. Marco Dueñas & Giorgio Fagiolo, 2013. "Modeling the International-Trade Network: a gravity approach," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 8(1), pages 155-178, April.
    11. Hong, Inho & Jung, Woo-Sung, 2016. "Application of gravity model on the Korean urban bus network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 48-55.
    12. J. M. C. Santos Silva & Silvana Tenreyro, 2006. "The Log of Gravity," The Review of Economics and Statistics, MIT Press, vol. 88(4), pages 641-658, November.
    13. Darryl P Leong & Martin McKee & Salim Yusuf & on behalf of PURE Investigators, 2017. "Population Muscle Strength Predicts Olympic Medal Tallies: Evidence from 20 Countries in the PURE Prospective Cohort Study," PLOS ONE, Public Library of Science, vol. 12(1), pages 1-10, January.
    14. Andrew B. Bernard & Meghan R. Busse, 2004. "Who Wins the Olympic Games: Economic Resources and Medal Totals," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 413-417, February.
    15. David Karemera & Victor Iwuagwu Oguledo & Bobby Davis, 2000. "A gravity model analysis of international migration to North America," Applied Economics, Taylor & Francis Journals, vol. 32(13), pages 1745-1755.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Takumi Kato, 2021. "Opposition in Japan to the Olympics during the COVID-19 pandemic," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 8(1), pages 1-9, December.

    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. Jessie Bakens & Raymond J.G.M. Florax & Peter Mulder, 2018. "Ethnic drift and white flight: A gravity model of neighborhood formation," Journal of Regional Science, Wiley Blackwell, vol. 58(5), pages 921-948, November.
    2. Martin Grancay & Tomas Dudas, 2018. "Olympic Medals, Economy, Geography and Politics from Sydney to Rio," Iranian Economic Review (IER), Faculty of Economics,University of Tehran.Tehran,Iran, vol. 22(2), pages 409-441, Spring.
    3. Seok, Jun Ho & Reed, Michael Robert & Saghaian, Sayed, 2016. "The Impact Of Sqf Certification On U.S. Agri-Food Exports," International Journal of Food and Agricultural Economics (IJFAEC), Alanya Alaaddin Keykubat University, Department of Economics and Finance, vol. 4(3), pages 1-16, July.
    4. Levatino, Antonina, 2015. "Transnational higher education and skilled migration: Evidence from Australia," International Journal of Educational Development, Elsevier, vol. 40(C), pages 106-116.
    5. Franklin G. Mixon Jr. & Richard J. Cebula, 2022. "Property Rights Freedom and Innovation: Eponymous Skills in Women's Gymnastics," Journal of Sports Economics, , vol. 23(4), pages 407-430, May.
    6. Donald Lien & Sucharita Ghosh & Steven Yamarik, 2014. "Does the Confucius institute impact international travel to China? A panel data analysis," Applied Economics, Taylor & Francis Journals, vol. 46(17), pages 1985-1995, June.
    7. repec:mse:cesdoc:13045 is not listed on IDEAS
    8. Diana María Cortázar-Gómez & Juan F. Pineda-Guarín, 2019. "Red de comercio departamental en Colombia: Enfoque gravitacional y análisis topológico de redes," Documentos de trabajo sobre Economía Regional y Urbana 285, Banco de la Republica de Colombia.
    9. Rafael Prieto Curiel & Luca Pappalardo & Lorenzo Gabrielli & Steven Richard Bishop, 2018. "Gravity and scaling laws of city to city migration," PLOS ONE, Public Library of Science, vol. 13(7), pages 1-19, July.
    10. Lorenzo Cassi & Andrea Morrison & Roberta Rabellotti, 2015. "Proximity and Scientific Collaboration: Evidence from the Global Wine Industry," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 106(2), pages 205-219, April.
    11. Schlembach, Christoph & Schmidt, Sascha L. & Schreyer, Dominik & Wunderlich, Linus, 2022. "Forecasting the Olympic medal distribution – A socioeconomic machine learning model," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    12. Gabriele Morettini & Andrea F. Presbitero & Massimo Tamberi, 2012. "Determinants of international migrations to Italian provinces," Economics Bulletin, AccessEcon, vol. 32(2), pages 1604-1617.
    13. Ernest Miguélez, 2018. "Inventor Diasporas and the Internationalization of Technology," The World Bank Economic Review, World Bank, vol. 32(1), pages 41-63.
    14. Nicole B. Simpson & Chad Sparber, 2013. "The Short‐ and Long‐Run Determinants of Less‐Educated Immigrant Flows into U.S. States," Southern Economic Journal, John Wiley & Sons, vol. 80(2), pages 414-438, October.
    15. Tamaş Anca, 2020. "Why should the gravity model be taught in business education?," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 14(1), pages 422-433, July.
    16. Bergh, Andreas & Mirkina, Irina & Nilsson, Therese, 2015. "Pushed by Poverty or by Institutions? Determinants of Global Migration Flows," Working Paper Series 1077, Research Institute of Industrial Economics.
    17. Mariam Camarero & Laura Montolio & Cecilio Tamarit, 2022. "Explaining German outward FDI in the EU: a reassessment using Bayesian model averaging and GLM estimators," Empirical Economics, Springer, vol. 62(2), pages 487-511, February.
    18. Richa Richa & Ilan Noy & Subir Sen, 2024. "Extreme Weather and Inter-State Migration in India," CESifo Working Paper Series 10919, CESifo.
    19. Xu, Xu & Sylwester, Kevin, 2016. "The effects of foreign direct investment on emigration: The roles of FDI source country, education, and gender," Economic Modelling, Elsevier, vol. 55(C), pages 401-409.
    20. Martin Grančay & Nóra Grančay & Jana Drutarovská & Ladislav Mura, 2015. "Gravitačný model zahraničného obchodu českej a slovenskej republiky 1995-2012: ako sa zmenili determinanty obchodu? [Gravity Model of Trade of the Czech and Slovak Republics 1995-2012: How Have Det," Politická ekonomie, Prague University of Economics and Business, vol. 2015(6), pages 759-777.
    21. William Martin & Cong S. Pham, 2020. "Estimating the gravity model when zero trade flows are frequent and economically determined," Applied Economics, Taylor & Francis Journals, vol. 52(26), pages 2766-2779, May.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:eee:phsmap:v:513:y:2019:i:c:p:447-455. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    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.