TESTING BAYESIAN UPDATING WITH THE ASSOCIATED PRESS TOP 25.

Most studies of Bayesian updating use experimental data. This article uses a non-experimental data source-the voter ballots of the Associated Press college football poll, a weekly subjective ranking of the top 25 teams-to test Bayes' rule as a descriptive model. I find that voters sometimes underrea...

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Publicado en:Economic Inquiry Vol. 51; no. 2; p. 1457
Autor principal: STONE, DANIEL F.
Formato: Artículo
Publicado: Wiley-Blackwell Apr2013
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: TESTING BAYESIAN UPDATING WITH THE ASSOCIATED PRESS TOP 25.
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        au: STONE, DANIEL F.
        affil: Stone: Assistant Professor, Department of Economics, Oregon State University, Corvallis, OR 97331. Phone 541 737 1477, Fax 541 737 5917, E‐mail
      su:
        Associated Press
        Bayesian analysis
        College football
        Ranking
        Football teams
        Voters
      sug:
        subj:
          Associated Press
          Sports Teams and Clubs
          All Other Amusement and Recreation Industries
          Bayesian analysis
          College football
          Ranking
          Football teams
          Voters
      ab: Most studies of Bayesian updating use experimental data. This article uses a non-experimental data source-the voter ballots of the Associated Press college football poll, a weekly subjective ranking of the top 25 teams-to test Bayes' rule as a descriptive model. I find that voters sometimes underreact to new information, sometimes overreact, and at other times their behavior is consistent with estimated Bayesian updating. A unifying explanation for the disparate results is that voters are more responsive to information that is more salient (i.e., noticeable). In particular, voters respond in a 'more Bayesian' way to losses and wins over ranked teams, as compared to wins over unranked teams, and voters seem unaware of subtle variation in the precision of priors. ( JEL D80, D83, D84)
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