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Estimating Determinants of Passenger Air Service to Small Markets

Author

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  • Brian L. Goff

    (Department of Economics, Ford College of Business, Western Kentucky University, Bowling Green, KY 42101, USA. brian.goff@wku.edu)

Abstract

The determinants of passenger air service to smaller US metropolitan areas and cities are examined with a data-set across almost 250 markets without federal Essential Air Service. Using a variety of regression techniques applicable to limited dependent variables, both the existence and the likelihood of air service as well as the intensity of service are investigated. The results indicate that market size, the proximity of a hub airport (of any size), the proximity of any airport offering passenger service and the close proximity of a resort or major military installation are influential in determining the existence and intensity of service. Estimates of marginal effects are derived and anomalous cases are examined.

Suggested Citation

  • Brian L. Goff, 2005. "Estimating Determinants of Passenger Air Service to Small Markets," Urban Studies, Urban Studies Journal Limited, vol. 42(3), pages 557-565, March.
    • Handle: RePEc:sae:urbstu:v:42:y:2005:i:3:p:557-565
    DOI: 10.1080/00420980500035782
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    References listed on IDEAS

    as
    1. Aisling Reynolds-Feighan, 2000. "The US Airport Hierarchy and Implications for Small Communities," Urban Studies, Urban Studies Journal Limited, vol. 37(3), pages 557-577, March.
    2. John B. Parr, 1997. "The Law Of Market Areas And The Size Distribution Of Urban Centers," Papers in Regional Science, Wiley Blackwell, vol. 76(1), pages 43-68, January.
    3. McDonald, John F & Moffitt, Robert A, 1980. "The Uses of Tobit Analysis," The Review of Economics and Statistics, MIT Press, vol. 62(2), pages 318-321, May.
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    Cited by:

    1. Fangwu Wei & Tony H. Grubesic, 2015. "A Typology of Rural Airports in the United States: Evaluating Network Accessibility," The Review of Regional Studies, Southern Regional Science Association, vol. 45(1), pages 57-85, Spring.

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