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The income elasticity of air travel: A meta-analysis

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  • Gallet, Craig A.
  • Doucouliagos, Hristos

Abstract

There is much disparity in estimates of the income elasticity of air travel across the literature. We examine this disparity by applying meta-regression techniques. Controlling for several issues, including publication selection bias, while our preferred baseline income elasticity estimate of 1.186 is consistent with air travel being a luxury and a slightly immature market, there are several features of the literature which sway the income elasticity away from this baseline. For instance, the income elasticity increases to 1.546 on international routes, yet decreases to 0.633 when air fare is included in a dynamic specification of demand, ceteris paribus. Other characteristics of the literature, such as those involving various data and estimation choices, have less influence on the reported income elasticity.

Suggested Citation

  • Gallet, Craig A. & Doucouliagos, Hristos, 2014. "The income elasticity of air travel: A meta-analysis," Annals of Tourism Research, Elsevier, vol. 49(C), pages 141-155.
    • Handle: RePEc:eee:anture:v:49:y:2014:i:c:p:141-155
    DOI: 10.1016/j.annals.2014.09.006
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    1. Graham, Anne, 2000. "Demand for leisure air travel and limits to growth," Journal of Air Transport Management, Elsevier, vol. 6(2), pages 109-118.
    2. Anderson, James E & Kraus, Marvin, 1981. "Quality of Service and the Demand for Air Travel," The Review of Economics and Statistics, MIT Press, vol. 63(4), pages 533-540, November.
    3. Colin J. Roberts, 2005. "Issues in Meta‐Regression Analysis: An Overview," Journal of Economic Surveys, Wiley Blackwell, vol. 19(3), pages 295-298, July.
    4. Brons, Martijn & Pels, Eric & Nijkamp, Peter & Rietveld, Piet, 2002. "Price elasticities of demand for passenger air travel: a meta-analysis," Journal of Air Transport Management, Elsevier, vol. 8(3), pages 165-175.
    5. Gately, Dermot, 1987. "Taking Off: The U.S. Demand for Air Travel and Jet Fuel," Working Papers 87-22, C.V. Starr Center for Applied Economics, New York University.
    6. T.D. Stanley & Hristos Doucouliagos & Margaret Giles & Jost Heckemeyer & Robert Johnston & Patrice Laroche & Jon Nelson & Martin Paldam & Jacques Poot & Geoff Pugh & Randall Rosenberger & Katja Rost, 2013. "Meta-analysis of economics research reporting guidelines," Post-Print hal-02137661, HAL.
    7. Craig A. Gallet & John A. List, 2003. "Cigarette demand: a meta‐analysis of elasticities," Health Economics, John Wiley & Sons, Ltd., vol. 12(10), pages 821-835, October.
    8. Rugg, Donald, 1973. "The Choice of Journey Destination: A Theoretical and Empirical Analysis," The Review of Economics and Statistics, MIT Press, vol. 55(1), pages 64-72, February.
    9. Gallet, Craig A., 2010. "The income elasticity of meat: a meta-analysis," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 54(4), pages 1-14.
    10. Kremers, Hans & Nijkamp, Peter & Rietveld, Piet, 2002. "A meta-analysis of price elasticities of transport demand in a general equilibrium framework," Economic Modelling, Elsevier, vol. 19(3), pages 463-485, May.
    11. Henning Klodt, 2004. "Border Effects in Passenger Air Traffic," Kyklos, Wiley Blackwell, vol. 57(4), pages 519-532, November.
    12. T. D. Stanley, 2008. "Meta‐Regression Methods for Detecting and Estimating Empirical Effects in the Presence of Publication Selection," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 70(1), pages 103-127, February.
    13. Jasper M. Dalhuisen & Raymond J. G. M. Florax & JHenri L. F. de Groot & Peter Nijkamp, 2003. "Price and Income Elasticities of Residential Water Demand: A Meta-Analysis," Land Economics, University of Wisconsin Press, vol. 79(2), pages 292-308.
    14. Bhadra, Dipasis, 2004. "Air Travel in Small Communities: An Econometric Framework and Results," Journal of the Transportation Research Forum, Transportation Research Forum, vol. 43(01).
    15. Graham, Anne, 2006. "Have the major forces driving leisure airline traffic changed?," Journal of Air Transport Management, Elsevier, vol. 12(1), pages 14-20.
    16. Hazledine, Tim, 2009. "Border effects for domestic and international Canadian passenger air travel," Journal of Air Transport Management, Elsevier, vol. 15(1), pages 7-13.
    17. James G. MacKinnon & Matthew D. Webb, 2017. "Wild Bootstrap Inference for Wildly Different Cluster Sizes," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(2), pages 233-254, March.
    18. Philip K. Verleger Jr., 1972. "Models of the Demand for Air Transportation," Bell Journal of Economics, The RAND Corporation, vol. 3(2), pages 437-457, Autumn.
    19. A. Colin Cameron & Jonah B. Gelbach & Douglas L. Miller, 2008. "Bootstrap-Based Improvements for Inference with Clustered Errors," The Review of Economics and Statistics, MIT Press, vol. 90(3), pages 414-427, August.
    20. T.D. Stanley & Hristos Doucouliagos & Margaret Giles & Jost H. Heckemeyer & Robert J. Johnston & Patrice Laroche & Jon P. Nelson & Martin Paldam & Jacques Poot & Geoff Pugh & Randall S. Rosenberger & , 2013. "Meta-Analysis Of Economics Research Reporting Guidelines," Journal of Economic Surveys, Wiley Blackwell, vol. 27(2), pages 390-394, April.
    21. Haoming Liu & Jinli Zeng, 2007. "Airline passenger fatality and the demand for air travel," Applied Economics, Taylor & Francis Journals, vol. 39(14), pages 1773-1781.
    22. Moulton, Brent R, 1990. "An Illustration of a Pitfall in Estimating the Effects of Aggregate Variables on Micro Unit," The Review of Economics and Statistics, MIT Press, vol. 72(2), pages 334-338, May.
    23. Markus Knell & Helmut Stix, 2005. "The Income Elasticity of Money Demand: A Meta‐Analysis of Empirical Results," Journal of Economic Surveys, Wiley Blackwell, vol. 19(3), pages 513-533, July.
    24. Britto, Rodrigo & Dresner, Martin & Voltes, Augusto, 2012. "The impact of flight delays on passenger demand and societal welfare," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(2), pages 460-469.
    25. Tsekeris, Theodore, 2009. "Dynamic analysis of air travel demand in competitive island markets," Journal of Air Transport Management, Elsevier, vol. 15(6), pages 267-273.
    26. Chris Doucouliagos & T.D. Stanley, 2013. "Are All Economic Facts Greatly Exaggerated? Theory Competition And Selectivity," Journal of Economic Surveys, Wiley Blackwell, vol. 27(2), pages 316-339, April.
    27. Kopsch, Fredrik, 2012. "A demand model for domestic air travel in Sweden," Journal of Air Transport Management, Elsevier, vol. 20(C), pages 46-48.
    28. Nelson, Larry A. & Dickey, David A. & Smith, Joy M., 2011. "Estimating time series and cross section tourism demand models: Mainland United States to Hawaii data," Tourism Management, Elsevier, vol. 32(1), pages 28-38.
    29. Chi, Junwook & Baek, Jungho, 2012. "A dynamic demand analysis of the United States air-passenger service," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(4), pages 755-761.
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