Open AccessModelling and forecasting football attendances
Author(s) -
Reade J. James
Publication year - 2007
Publication title -
oxonomics
Language(s) - English
Resource type - Journals
eISSN - 1752-5209
pISSN - 1752-5195
DOI - 10.1111/j.1752-5209.2007.00015.x
Subject(s) - football , attendance , league , selection (genetic algorithm) , econometrics , demand forecasting , operations research , computer science , economics , engineering , geography , artificial intelligence , physics , archaeology , astronomy , economic growth
Estimating demand functions for football match attendance is increasingly popular, with focus usually on top divisions of national leagues and on groups of teams. Here, demand for one lower division team, Oldham Athletic, is analyzed. General‐to‐specific model selection is employed to find a model to explain attendances, which is then used to forecast attendances. The model explains and predicts attendances well, and additionally designed forecast combinations provide competitive forecasts due to the possibility of structural breaks.