A Logistic Regression Model Explaining Recent State Casino Gaming Adoptions


  • Edward J. Furlong

    1. Edward J. Furlong currently is a Ph.D. candidate in the Political Science department at Northern Illinois University. He works full-time as an analyst for Research USA, a market research division of a telemarketing firm in Des Plaines, Illinois. The competitive aspects of state gambling policies are his primary public policy research interest.
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The scholarly literature has argued that state fiscal stress, interstate tax competition, political feasibility, and economic development goals were the main reasons underlying the adoption of casino gaming by several American states. Archival data were collected and analyzed using logistic regression in an attempt to explain why some states have adopted casino gaming and others have not. Four statistically significant predictors of state casino gaming adoptions were discovered: moderate aggregate state ideological identifications, 1990 per capita tax rankings by state, longitudinal changes in state per capita taxes, and longitudinal changes in state job growth. These results suggest that motives related to political feasibility and economic development provide the best explanation of recent state casino gaming adoptions.