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Panel data analysis in Tourism Research

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  • Neelu Seetaram

    (University of Huddersfield)

  • Sylvain Petit

    (UPF - Université de la Polynésie Française)

Abstract

This chapter focuses on the application of panel data techniques in the tourism literature. The chapter is organised as follows: The next section explains panel data modelling technique emphasising on the difference between fixed and random effects. Dynamism in modelling is introduced and the implication for model estimation is discussed. The chapter then devotes a section to unit root and cointegration tests which is followed by an illustration of the application of panel data analysis in tourism research namely, in tourism demand modeling and in explorations of the relationship between tourism and economic growth. The conclusion spells out the limitations of this technique and directions for future research.
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Suggested Citation

  • Neelu Seetaram & Sylvain Petit, 2012. "Panel data analysis in Tourism Research," Post-Print hal-01831529, HAL.
    • Handle: RePEc:hal:journl:hal-01831529
    Note: View the original document on HAL open archive server: https://hal.science/hal-01831529
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    References listed on IDEAS

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    Cited by:

    1. Peter Fuleky & Carl S. Bonham & Qianxue Zhao, 2013. "Estimating Demand Elasticities in Non-Stationary Panels: The Case of Hawaii's Tourism Industry," Working Papers 201314, University of Hawaii at Manoa, Department of Economics.
    2. Seetaram, Neelu & Forsyth, Peter & Dwyer, Larry, 2016. "Measuring price elasticities of demand for outbound tourism using competitiveness indices," Annals of Tourism Research, Elsevier, vol. 56(C), pages 65-79.
    3. repec:hae:wpaper:2013-2 is not listed on IDEAS
    4. Vinko Mustra & Blanka Simundic & Zvonimir Kulis, 2017. "Efectos de la especialización inteligente en la resiliencia económica regional en la UE," Revista de Estudios Regionales, Universidades Públicas de Andalucía, vol. 3, pages 175-195.
    5. Xin Du & Hengming Zhang & Yawen Han, 2022. "How Does New Infrastructure Investment Affect Economic Growth Quality? Empirical Evidence from China," Sustainability, MDPI, vol. 14(6), pages 1-30, March.
    6. Smiljana Pivčević & Zvonimir Kuliš & Neven Šerić, 2016. "The pull factors of tourism demand: a panel data analysis for Latin American and Carribean countries," Tourism and Hospitality Industry 24, University of Rijeka, Faculty of Tourism and Hospitality Management.
    7. Blanka Šimundić & Zvonimir Kuliš & Neven Šerić, 2016. "Tourism and economic growth: an evidence for Latin American and Carribean countries," Tourism and Hospitality Industry 34, University of Rijeka, Faculty of Tourism and Hospitality Management.

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    More about this item

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism

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