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On Tests For Long Memory Process Behavior Of International Tourism Market: Thailand And India

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  • Sriboonchitta, Songsak
  • Chaitip, Prasert
  • Balogh, Peter
  • Kovacs, Sandor
  • Chaiboonsri, Chukiat

Abstract

In our research we examine the behaviour of both Thailand’s and India’s international tourism market by using long-memory analysis. The international tourism market of Thailand combined with seven groups such as East Asia, Europe, The Americas, South Asia, Oceania, Middle East and Africa. Similarly, the international tourism market of India combined with nine countries: USA, UK, Canada, Germany, France, Japan, Malaysia, Australia and Sri Lanka. Moreover, three statistical tests for long-memory process such as R/S test, Modified R/S test and GPH-test are employed to study these markets. The empirical findings in general provide more support for long memory process in international tourism market of Thailand and evidence for short-term dependence in international tourism market of India. Therefore, the policy makers of each country should understand the behaviour of long memory process in international tourism market before launching any stimulating campaign to this industry.

Suggested Citation

  • Sriboonchitta, Songsak & Chaitip, Prasert & Balogh, Peter & Kovacs, Sandor & Chaiboonsri, Chukiat, 2011. "On Tests For Long Memory Process Behavior Of International Tourism Market: Thailand And India," APSTRACT: Applied Studies in Agribusiness and Commerce, AGRIMBA, vol. 5(3-4), pages 1-6.
  • Handle: RePEc:ags:apstra:104679
    DOI: 10.22004/ag.econ.104679
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    References listed on IDEAS

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    1. Olan T. Henry & Nilss Olekalns & Kalvinder Shields, 2002. "Non-linear Co-Movements in Output Growth: Evidence from the United States and Australia," Department of Economics - Working Papers Series 857, The University of Melbourne.
    2. KIRMAN, Alan & TEYSSIÈRE, Gilles, 2002. "Bubbles and long-range dependence in asset prices volatilities," LIDAM Discussion Papers CORE 2002060, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
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    Cited by:

    1. Baggio, Rodolfo, 2015. "Looking into the future of complex dynamic systems," MPRA Paper 65549, University Library of Munich, Germany.
    2. Sándor Kovács & Prasert Chaitip & Chukiat Chaiboonsri & Péter Balogh, 2012. "The Long Memory Property of Hungarian Market Pig Prices: A Comparison of Three Different Methods," Annals of the University of Petrosani, Economics, University of Petrosani, Romania, vol. 12(3), pages 123-138.

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