IDEAS home Printed from https://ideas.repec.org/p/huj/dispap/dp395.html

Record Breaking and Temporal Clustering

Author

Listed:
  • Flavio Toxvaerd

Abstract

Casual observation suggests that athletics records tend to cluster over time. After prolonged periods without new records, a record breaking performance spurs other athletes to increase effort and thereby repeatedly set new standards. Subsequently, record breaking subsides and the pattern repeats itself. The clustering hypothesis is tested for the mile run, the marathon, the world hour record and long jump. For all four disciplines, the null hypothesis of non-clustering is rejected at the 4% level or below. A theoretical rationale for this phenomenon is provided through a model of social learning under limited awareness. The agents are assumed to be unaware of the true limits to performance and to take the current record as the upper bound. The observation of a record breaking achievement spurs the agents to try harder and thus temporarily increase the probability of new records. Subsequently, record breaking trails off and the process is repeated.

Suggested Citation

  • Flavio Toxvaerd, 2005. "Record Breaking and Temporal Clustering," Discussion Paper Series dp395, The Federmann Center for the Study of Rationality, the Hebrew University, Jerusalem.
  • Handle: RePEc:huj:dispap:dp395
    as

    Download full text from publisher

    File URL: http://ratio.huji.ac.il/sites/default/files/publications/dp395.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chamley,Christophe P., 2004. "Rational Herds," Cambridge Books, Cambridge University Press, number 9780521530927, November.
    2. Joseph Zeira, 1994. "Informational Cycles," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 61(1), pages 31-44.
    3. Nicolas Molinari & Chistophe Bonaldi & Jean-Pierre Daurés, 2001. "Multiple Temporal Cluster Detection," Biometrics, The International Biometric Society, vol. 57(2), pages 577-583, June.
    4. Toxvaerd, Flavio, 2008. "Strategic merger waves: A theory of musical chairs," Journal of Economic Theory, Elsevier, vol. 140(1), pages 1-26, May.
    5. Gul, Faruk & Lundholm, Russell, 1995. "Endogenous Timing and the Clustering of Agents' Decisions," Journal of Political Economy, University of Chicago Press, vol. 103(5), pages 1039-1066, October.
    6. Daniel Gembris & John G. Taylor & Dieter Suter, 2002. "Trends and random fluctuations in athletics," Nature, Nature, vol. 417(6888), pages 506-506, May.
    7. Helpman, Elhanan & Trajtenberg, Manuel, 1994. "A Time to Sow and a Time to Reap: Growth Based on General Purpose Technologies," CEPR Discussion Papers 1080, C.E.P.R. Discussion Papers.
    8. Andergassen, Rainer & Nardini, Franco, 2005. "Endogenous innovation waves and economic growth," Structural Change and Economic Dynamics, Elsevier, vol. 16(4), pages 522-539, December.
    9. Chamley,Christophe P., 2004. "Rational Herds," Cambridge Books, Cambridge University Press, number 9780521824019, November.
    10. Grenadier, Steven R, 1996. "The Strategic Exercise of Options: Development Cascades and Overbuilding in Real Estate Markets," Journal of Finance, American Finance Association, vol. 51(5), pages 1653-1679, December.
    11. Norman Myers, 2002. "Running through the mind," Nature, Nature, vol. 418(6896), pages 371-371, July.
    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. Boğaçhan Çelen & Kyle Hyndman, 2012. "An experiment of social learning with endogenous timing," Review of Economic Design, Springer;Society for Economic Design, vol. 16(2), pages 251-268, September.
    2. Pablo Moran, 2017. "Information Revelation in Merger Waves," The Review of Corporate Finance Studies, Society for Financial Studies, vol. 6(2), pages 174-233.
    3. Paul Beaudry & Franck Portier, 2014. "News-Driven Business Cycles: Insights and Challenges," Journal of Economic Literature, American Economic Association, vol. 52(4), pages 993-1074, December.
    4. Heidhues, Paul & Melissas, Nicolas, 2012. "Rational exuberance," European Economic Review, Elsevier, vol. 56(6), pages 1220-1240.
    5. Driver, Ciaran & Trapani, Lorenzo & Urga, Giovanni, 2013. "On the use of cross-sectional measures of forecast uncertainty," International Journal of Forecasting, Elsevier, vol. 29(3), pages 367-377.
    6. repec:ebl:ecbull:v:7:y:2006:i:7:p:1-12 is not listed on IDEAS
    7. Andreas Blume & April Mitchell Franco & Paul Heidhues, 2021. "Dynamic coordination via organizational routines," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 72(4), pages 1001-1047, November.
    8. Jonathan E. Alevy & Michael S. Haigh & John List, 2006. "Information Cascades: Evidence from An Experiment with Financial Market Professionals," NBER Working Papers 12767, National Bureau of Economic Research, Inc.
    9. Marco Cipriani & Antonio Guarino, 2009. "Herd Behavior in Financial Markets: An Experiment with Financial Market Professionals," Journal of the European Economic Association, MIT Press, vol. 7(1), pages 206-233, March.
    10. Schlegel, Friederike & Hakenes, Hendrik, 2014. "Tapping the Financial Wisdom of the Crowd - Crowdfunding as a Tool to Aggregate Vague Information," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100563, Verein für Socialpolitik / German Economic Association.
    11. Nimark, Kristoffer, 2008. "Dynamic pricing and imperfect common knowledge," Journal of Monetary Economics, Elsevier, vol. 55(2), pages 365-382, March.
    12. Park, Andreas & Sgroi, Daniel, 2012. "Herding, contrarianism and delay in financial market trading," European Economic Review, Elsevier, vol. 56(6), pages 1020-1037.
    13. Achyuta Adhvaryu, 2014. "Learning, Misallocation, and Technology Adoption: Evidence from New Malaria Therapy in Tanzania," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 81(4), pages 1331-1365.
    14. Drehmann, Mathias & Oechssler, Jorg & Roider, Andreas, 2007. "Herding with and without payoff externalities -- an internet experiment," International Journal of Industrial Organization, Elsevier, vol. 25(2), pages 391-415, April.
    15. Gill, David & Sgroi, Daniel, 2008. "Sequential decisions with tests," Games and Economic Behavior, Elsevier, vol. 63(2), pages 663-678, July.
    16. Michal Grajek, 2003. "Estimating Network Effects and Compatibility in Mobile Telecommunications," CIG Working Papers SP II 2003-26, Wissenschaftszentrum Berlin (WZB), Research Unit: Competition and Innovation (CIG).
    17. Syngjoo Choi, 2012. "A cognitive hierarchy model of learning in networks," Review of Economic Design, Springer;Society for Economic Design, vol. 16(2), pages 215-250, September.
    18. Tatsuhiro SHICHIJO & Yuji NAKAYAMA, 2004. "A Way To Sell Goods With Network Externalities," Econometric Society 2004 Far Eastern Meetings 711, Econometric Society.
    19. Antonio Guarino & Steffen Huck & Heike Harmgart, 2008. "When half the truth is better than the truth: A Theory of aggregate information cascades," WEF Working Papers 0046, ESRC World Economy and Finance Research Programme, Birkbeck, University of London.
    20. Diemo Urbig, 2006. "Base rate neglect for the wealth of populations," Computing in Economics and Finance 2006 266, Society for Computational Economics.
    21. Madura, Jeff & Ngo, Thanh & Viale, Ariel M., 2011. "Convergent synergies in the global market for corporate control," Journal of Banking & Finance, Elsevier, vol. 35(9), pages 2468-2478, September.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

    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:huj:dispap:dp395. 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: Michael Simkin (email available below). General contact details of provider: https://edirc.repec.org/data/crihuil.html .

    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.