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Examining the behaviour of visitor arrivals to Australia from 28 different countries

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  • Narayan, Paresh Kumar

Abstract

Testing the integrational properties of visitor arrivals has important implications for policy, for if visitor arrivals are integrated of order one (nonstationary) then it implies that shocks to visitor arrivals are permanent. However, if visitor arrivals are found to be integrated or order zero (stationary) then this implies that shocks to visitor arrivals are temporary. In this paper we examine whether visitor arrivals to Australia are stationary or nonstationary, using the recently developed univariate and panel Lagrange multiplier tests, and the Im, Pesaran and Shin [Im, K.S., Pesaran, M.H., Shin, Y., 1997. Testing for Unit Roots in Heterogeneous Panels. Manuscript, Department of Applied Economics, University of Cambridge; Im, K.S., Pesaran, M.H., Shin, Y., 2003. Testing for Unit Roots in Heterogeneous Panels. Journal of Econometrics, 115, 53-74] panel t-test. Our exercise involves Australia's 28 tourist source markets. Our main findings are: (1) that visitor arrivals to Australia from 28 tourist source markets are stationary, implying that any shock will have only a temporary effect and (2) the second structural break, which mainly coincides with the September 11 terrorist attacks and the Asian financial crisis, has slowed down the growth rate in visitor arrivals to Australia from 22 out of 28 (79%) of the tourism source markets.

Suggested Citation

  • Narayan, Paresh Kumar, 2008. "Examining the behaviour of visitor arrivals to Australia from 28 different countries," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(5), pages 751-761, June.
  • Handle: RePEc:eee:transa:v:42:y:2008:i:5:p:751-761
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    1. Shiller, Robert J. & Perron, Pierre, 1985. "Testing the random walk hypothesis : Power versus frequency of observation," Economics Letters, Elsevier, vol. 18(4), pages 381-386.
    2. Paresh Kumar Narayan, 2005. "The structure of tourist expenditure in Fiji: evidence from unit root structural break tests," Applied Economics, Taylor & Francis Journals, vol. 37(10), pages 1157-1161.
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    6. Perron, Pierre, 1989. "The Great Crash, the Oil Price Shock, and the Unit Root Hypothesis," Econometrica, Econometric Society, vol. 57(6), pages 1361-1401, November.
    7. Mita Bhattacharya & Paresh Kumar Narayan, 2005. "Testing for the random walk hypothesis in the case of visitor arrivals: evidence from Indian tourism," Applied Economics, Taylor & Francis Journals, vol. 37(13), pages 1485-1490.
    8. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    9. Hall, Alastair R, 1994. "Testing for a Unit Root in Time Series with Pretest Data-Based Model Selection," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(4), pages 461-470, October.
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    Cited by:

    1. Valadkhani, Abbas & O’Mahony, Barry, 2015. "Dynamics of Australia’s tourism in a multimarket context," Annals of Tourism Research, Elsevier, vol. 55(C), pages 173-177.
    2. Hooi Hooi Lean & Russell Smyth, 2006. "Asian Financial Crisis, Avian Flu And Terrorist Threats: Are Shocks To Malaysian Tourist Arrivals Permanent Or Transitory?," Monash Economics Working Papers 11/06, Monash University, Department of Economics.
    3. Koo, Tay T.R. & Tan, David T. & Duval, David Timothy, 2013. "Direct air transport and demand interaction: A vector error-correction model approach," Journal of Air Transport Management, Elsevier, vol. 28(C), pages 14-19.

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