IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this paper or follow this series

Estimating Demand Elasticities in Non-Stationary Panels: The Case of Hawaii's Tourism Industry

  • Carl S. Bonham

    (University of Hawaii Department of Economics)

  • Peter Fuleky

    ()

    (University of Hawaii Department of Economics)

  • Qianxue Zhao

    (University of Hawaii Economic Research Organizaion)

Tourism demand elasticities are central to marketing, forecasting and policy work, but the wide array of occasionally counterintuitive estimates produced by existing empirical studies implies that some of those results may be inaccurate. To improve the precision of estimates, it is natural to turn to the richness of panel data. However, panel estimation using non-stationary data requires careful attention to the likely presence of common shocks shared across the underlying macroeconomic variables and across regions. Several recently developed econometric tools for panel data analysis attempt to deal with such cross-sectional dependence. We apply the estimator of Pesaran (2006) and Kapetinos, Pesaran and Yamagata (2010) to obtain tourism demand elasticities in non-stationary heterogeneous dynamic panels subject to common factors. We study the extent to which tourism arrivals from the US Mainland to Hawaii are driven by fundamentals such as real personal income and the cost of the trip, and we nd that neglecting cross-sectional dependence in the data leads to spurious results.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.economics.hawaii.edu/research/workingpapers/WP_13-3.pdf
File Function: First version, 2013
Download Restriction: no

Paper provided by University of Hawaii at Manoa, Department of Economics in its series Working Papers with number 201303.

as
in new window

Length: 19 pages
Date of creation: Feb 2013
Date of revision:
Handle: RePEc:hai:wpaper:201303
Contact details of provider: Postal: 2424 Maile Way, Honolulu, HI 96822
Phone: (808)956-8730
Fax: (808)956-4347
Web page: http://www.economics.hawaii.edu/
Email:


More information through EDIRC

Order Information: Web: http://www.economics.hawaii.edu/research/working.html Email:


References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as in new window
  1. Westerlund Joakim & Urbain Jean-Pierre, 2011. "Cross sectional averages or principal components?," Research Memorandum 053, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
  2. Pesaran, M. Hashem & Smith, Ron, 1995. "Estimating long-run relationships from dynamic heterogeneous panels," Journal of Econometrics, Elsevier, vol. 68(1), pages 79-113, July.
  3. Crouch, Geoffrey I., 1996. "Demand elasticities in international marketing : A meta-analytical application to tourism," Journal of Business Research, Elsevier, vol. 36(2), pages 117-136, June.
  4. George Kapetanios & M. Hashem Pesaran & Takashi Yamagata, 2006. "Panels with Nonstationary Multifactor Error Structures," CESifo Working Paper Series 1788, CESifo Group Munich.
  5. M. Hashem Pesaran, 2006. "Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure," Econometrica, Econometric Society, vol. 74(4), pages 967-1012, 07.
  6. Jushan Bai & Chihwa Kao & Serena Ng, 2007. "Panel Cointegration with Global Stochastic Trends," Center for Policy Research Working Papers 90, Center for Policy Research, Maxwell School, Syracuse University.
  7. Perron, P. & Rodriguez, G., 2000. "Seraching for Additive Outliers in Nonstationary Time Series," Working Papers 0005e, University of Ottawa, Department of Economics.
  8. Peter Pedroni, 2001. "Purchasing Power Parity Tests In Cointegrated Panels," The Review of Economics and Statistics, MIT Press, vol. 83(4), pages 727-731, November.
  9. Witt, Stephen F. & Witt, Christine A., 1995. "Forecasting tourism demand: A review of empirical research," International Journal of Forecasting, Elsevier, vol. 11(3), pages 447-475, September.
  10. Banerjee, A. & Marcellino, M. & Osbat, C., 2000. "Some Cautions on the Use of Panel Methods for Integrated Series of Macro-economic Data," Economics Working Papers eco2000/20, European University Institute.
  11. Bonham, Carl & Gangnes, Byron & Zhou, Ting, 2009. "Modeling tourism: A fully identified VECM approach," International Journal of Forecasting, Elsevier, vol. 25(3), pages 531-549, July.
  12. Anindya Banerjee & Massimiliano Marcellino & Chiara Osbat, . "Testing for PPP: Should We Use Panel Methods?," Working Papers 186, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
  13. Sul, Donggyu, 2009. "Panel unit root tests under cross section dependence with recursive mean adjustment," Economics Letters, Elsevier, vol. 105(1), pages 123-126, October.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:hai:wpaper:201303. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Web Technician)

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.