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A Dynamic Analysis of Repeat Visitors

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  • Ana Isabel Moniz

    (University of the Azores and Centre of Applied Economics Studies of the Atlantic (CEEAplA), Rua da Mãe de Deus, 9501-801 Ponta Delgada, Portugal)

Abstract

This paper introduces the dynamic probit model to analyse the underlying reasons behind repeat visits to the Azores Islands. The advantage of the model is that it allows investigation for lags as well as for endogeneity in the covariates, thus enabling a more accurate view of the repeat visits phenomenon in a specific tourism island destination. From the model estimation, it is clear that the number of visits to the Azores Islands is a time effect that should be analysed only with dynamic models which can identify persistent variables that attract repeat tourists. The repeat tourist is supported by multiple variables, such as overall satisfaction with the destination and specific satisfaction with destination attributes. However, the most important covariates are the destination attributes that are the persistent attractors of the repeat visitor. Related policy implications are derived.

Suggested Citation

  • Ana Isabel Moniz, 2012. "A Dynamic Analysis of Repeat Visitors," Tourism Economics, , vol. 18(3), pages 505-517, June.
  • Handle: RePEc:sae:toueco:v:18:y:2012:i:3:p:505-517
    DOI: 10.5367/te.2012.0129
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    References listed on IDEAS

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    1. Dominic Moran & Esmond Tresidder & Alistair McVittie, 2006. "Estimating the Recreational Value of Mountain Biking Sites in Scotland Using Count Data Models," Tourism Economics, , vol. 12(1), pages 123-135, March.
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    3. Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
    4. Francisco Ledesma & Manuel Navarro & Jorge Perez-Rodriguez, 2005. "Return to tourist destination. Is it reputation, after all?," Applied Economics, Taylor & Francis Journals, vol. 37(18), pages 2055-2065.
    5. Mark Stewart, 2006. "Maximum simulated likelihood estimation of random-effects dynamic probit models with autocorrelated errors," Stata Journal, StataCorp LP, vol. 6(2), pages 256-272, June.
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    Cited by:

    1. Juan Brida & Marta Disegna & Raffaele Scuderi, 2014. "The behaviour of repeat visitors to museums: review and empirical findings," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(5), pages 2817-2840, September.
    2. Cristina Oliveira & Paulo Rita & Sérgio Moro, 2021. "Unveiling Island Tourism in Cape Verde through Online Reviews," Sustainability, MDPI, vol. 13(15), pages 1-14, July.
    3. Čaušević Amra & Mirić Ranko & Drešković Nusret & Hrelja Edin, 2020. "First-time and repeat visitors to Sarajevo," European Journal of Tourism, Hospitality and Recreation, Sciendo, vol. 10(1), pages 14-27, May.
    4. Jorge Moll-de-Alba & Lluís Prats & Lluís Coromina, 2016. "The need to adapt to travel expenditure patterns. A study comparing business and leisure tourists in Barcelona," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 6(2), pages 253-267, August.

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