nep-spo New Economics Papers
on Sports and Economics
Issue of 2014‒04‒18
three papers chosen by
Joao Carlos Correia Leitao
Universidade da Beira Interior and Universidade de Lisboa
  1. Economic development as major determinant of Olympic medal wins: predicting performances of Russian and Chinese teams at Sochi Games By Wladimir Andreff
  2. Parrainage sportif des banques françaises : Une approche par la congruence By Odile CHANUT; Dominique BONET FERNANDEZ; François DURANT
  3. On Markov perfect equilibria in baseball By Akifumi Kira; Keisuke Inakawa
  1. By: Wladimir Andreff (CES - Centre d'économie de la Sorbonne - CNRS : UMR8174 - Université Paris 1 - Panthéon-Sorbonne)
    Abstract: Econometric modelling of Winter Olympic Games to explain sporting outcomes with economic variables, then predicting the medal distribution at the next Games, Sochi 2014.
    Keywords: sports economics, sporting outcome, prediction, modelling, Winter Olympic Games
    Date: 2013
    URL: http://d.repec.org/n?u=RePEc:hal:cesptp:halshs-00971788&r=spo
  2. By: Odile CHANUT; Dominique BONET FERNANDEZ; François DURANT
    Abstract: In a competitive environment, banks carefully develop communication policies, particularly institutional, with the main objective to provide content in terms of brand image. A tool is the sports sponsorship, a means of communication relevant for banks, provided however that sport sponsorship is well chosen and that there is match between the values conveyed through sport and personality of the bank. We propose a methodology to assess the congruence between the image of sports chosen by 5 French banks and personality of the banks. Our exploratory research is based on a sample of 170 bank customers. Our initial results indicate significant differences in congruence between banks.
    Keywords: Sponsoring, bank, sport, congruence.
    Date: 2014–04–10
    URL: http://d.repec.org/n?u=RePEc:ipg:wpaper:2014-215&r=spo
  3. By: Akifumi Kira; Keisuke Inakawa
    Abstract: We formulate baseball as a finite Markov game with approximately 3.5 million states. The manager of each opposing team is the player who maximizes the probability of their team winning. We derive, using dynamic programming, a recursive formula which is satisfied by Markov perfect equilibria and the value functions of the game for both teams. By solving this recursive formula, we can obtain optimal strategies for each condition. We demonstrate with numerical experiments that these can be calculated in approximately 1 second per game.
    Date: 2014–03
    URL: http://d.repec.org/n?u=RePEc:toh:tmarga:115&r=spo
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