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Determinants of trip duration for international tourists in Norway; a parametric survival analysis


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[1] Aalen, O., Borgan, O., & Gjessing, H. (2008). Survival and event history analysis: a process point of view. New Yrok: Springer Science & Business Media.10.1007/978-0-387-68560-1Search in Google Scholar

[2] Alegre, J., & Pou, L. (2006). The length of stay in the demand for tourism. Tourism management, 27(6), 1343-1355.10.1016/j.tourman.2005.06.012Search in Google Scholar

[3] Ansell, J., & Phillips, M. (1996). Practical Methods for Reliability Data Analysis (Vol. 159). Oxford Oxford Science.Search in Google Scholar

[4] Barros, C. P., Butler, R., & Correia, A. (2010). The length of stay of golf tourism: A survival analysis. Tourism management, 31(1), 13-21.10.1016/j.tourman.2009.02.010Search in Google Scholar

[5] Barros, C. P., Correia, A., & Crouch, G. (2008). Determinants of the length of stay in Latin American tourism destinations. Tourism Analysis, 13(4), 329-340.Search in Google Scholar

[6] Barros, C. P., & Machado, L. P. (2010). The length of stay in tourism. Annals of Tourism Research, 37(3), 692-706.10.1016/j.annals.2009.12.005Search in Google Scholar

[7] Boissevain, J. (1996). Coping with tourists: European reactions to mass tourism (Vol. 1). Oxford: Berghahn Books.Search in Google Scholar

[8] Box-Steffensmeier, J. M., & Jones, B. S. (2004). Event history modeling: A guide for social scientists. New York: Cambridge University Press.10.1017/CBO9780511790874Search in Google Scholar

[9] Burger, C. J. S. C., Dohnal, M., Kathrada, M., & Law, R. (2001). A practitioners guide to time-series methods for tourism demand forecasting — a case study of Durban, South Africa. Tourism management, 22(4), 403-409.10.1016/S0261-5177(00)00068-6Search in Google Scholar

[10] Candela, G., & Figini, P. (2012). The economics of tourism destinations. Heidelberg: Springer.10.1007/978-3-642-20874-4Search in Google Scholar

[11] Cleves, M., Gould, W., Gutierrez, R. G., & Marchenko, Y. V. (2010). An Introduction to Survival Analysis Using Stata. Texas: Stata Press.Search in Google Scholar

[12] Culiuc, A. (2014). Determinants of International Tourism - IMF Working Paper No. 14/82. Retrieved from Washington:Search in Google Scholar

[13] Dadgostar, B., & Isotalo, R. M. (1992). Factors affecting time spent by near-home tourists in city destinations. Journal of Travel Research, 31(2), 34-39.10.1177/004728759203100206Search in Google Scholar

[14] David, W., Hosmer, S., Stanley, L., & Susanne, M. (2008). Applied survival analysis: Regression Modeling of Time to Event Data (Second ed.). Hoboken: Wiley Interscience.Search in Google Scholar

[15] Davies, B., & Mangan, J. (1992). Family expenditure on hotels and holidays. Annals of Tourism Research, 19(4), 691-699.10.1016/0160-7383(92)90061-SSearch in Google Scholar

[16] De Menezes, A. G., Moniz, A., & Vieira, J. C. (2008). The determinants of length of stay of tourists in the Azores. Tourism Economics, 14(1), 205-222.10.5367/000000008783554866Search in Google Scholar

[17] Efron, B. (1977). The efficiency of Cox’s likelihood function for censored data. Journal of the American Statistical Association, 72(359), 557-565.10.1080/01621459.1977.10480613Search in Google Scholar

[18] Enger, A., Sandvik, K., & Kildal Iversen, E. (2015). Developing scenarios for the Norwegian travel industry 2025. Journal of Tourism Futures, 1(1), 6-18.10.1108/JTF-12-2014-0018Search in Google Scholar

[19] Etzel, M. J., & Woodside, A. G. (1982). Segmenting vacation markets: The case of the distant and near-home travelers. Journal of Travel Research, 20(4), 10-14.10.1177/004728758202000403Search in Google Scholar

[20] Farr, M., & Guegan, X. (2013). The British Abroad Since the Eighteenth Century : travellers and tourists (Vol. 1& 2). Newcastle: Palgrave Macmillan.Search in Google Scholar

[21] Fjågesund, P., & Syme, R. A. (2003). The Northern Utopia: British Perceptions of Norway in the Nineteenth Century (Vol. 10). Amesterdam: Rodopi.10.1163/9789004485013Search in Google Scholar

[22] Fleischer, A., & Pizam, A. (2002). Tourism constraints among Israeli seniors. Annals of Tourism Research, 29(1), 106-123.10.1016/S0160-7383(01)00026-3Search in Google Scholar

[23] Fouquet, R. (2012). Trends in income and price elasticities of transport demand (1850–2010). Energy Policy, 50, 62-71. doi:https://doi.org/10.1016/j.enpol.2012.03.00110.1016/j.enpol.2012.03.001Search in Google Scholar

[24] Gallet, C. A., & Doucouliagos, H. (2014). The income elasticity of air travel: A meta-analysis. Annals of Tourism Research, 49, 141-155.10.1016/j.annals.2014.09.006Search in Google Scholar

[25] Gokovali, U., Bahar, O., & Kozak, M. (2007). Determinants of length of stay: A practical use of survival analysis. Tourism management, 28(3), 736-746.10.1016/j.tourman.2006.05.004Search in Google Scholar

[26] Goodall, B., & Ashworth, G. J. (1988). Marketing in the Tourism Industry: The promotion of destination regions. London: International Thomson Publishing Services.Search in Google Scholar

[27] Hall, C. M., Muller, D. K., & Saarinen, J. (2008). Nordic tourism: Issues and cases. Bristol: Channel View Publications.10.21832/9781845410957Search in Google Scholar

[28] Harrell, F. E., Califf, R. M., Pryor, D. B., Lee, K. L., & Rosati, R. A. (1982). Evaluating the yield of medical tests. Journal of the American Medical Association, 247(18), 2543-2546.10.1001/jama.1982.03320430047030Search in Google Scholar

[29] Holloway, J. C., & Taylor, N. (2006). The business of tourism. Harlow: Prentice Hall.Search in Google Scholar

[30] Hong, S.-k., & Jang, H. (2005). Factors influencing purchasing time of a new casino product and its managerial implications: An exploratory study. Journal of Travel Research, 43(4), 395-403.10.1177/0047287505274652Search in Google Scholar

[31] Kazuzuru, B. (2014). Determinants of Tourist Length of Stay in Tanzania. International Journal of Business and Social Science, 5(9(1)), 204-214.Search in Google Scholar

[32] Lancaster, T. (1992). The econometric analysis of transition data. Cambridge: Cambridge university press.Search in Google Scholar

[33] Lew, A. A. (1987). A framework of tourist attraction research. Annals of Tourism Research, 14(4), 553-575.10.1016/0160-7383(87)90071-5Search in Google Scholar

[34] Lickorish, L. J., & Jenkins, C. L. (1997). An Introduction to Tourism. Oxford: HeinemannSearch in Google Scholar

[35] Lim, C. (1997). Review of international tourism demand models. Annals of Tourism Research, 24(4), 835-849.10.1016/S0160-7383(97)00049-2Search in Google Scholar

[36] Liu, X. (2012). Survival Analysis: Models and Applications. West Sussex: Higher Education Press.10.1002/9781118307656Search in Google Scholar

[37] Lovelock, B. (2007). Tourism and the consumption of wildlife: Hunting, shooting and sport fishing. New York: Routledge.10.4324/9780203934326Search in Google Scholar

[38] Machado, L. P. (2010). Does destination image influence the length of stay in a tourism destination? Tourism Economics, 16(2), 443-456.10.5367/000000010791305554Search in Google Scholar

[39] Martínez-Garcia, E., & Raya, J. M. (2008). Length of stay for low-cost tourism. Tourism management, 29(6), 1064-1075.10.1016/j.tourman.2008.02.011Search in Google Scholar

[40] Matias Alvaro, Nijkamp Peter, & sarmento Manuela. (2009). Advances in Tourism Economics-New Developments. London: A Springer Company.Search in Google Scholar

[41] Mok, C., & Iverson, T. J. (2000). Expenditure-based segmentation: Taiwanese tourists to Guam. Tourism management, 21(3), 299-305.10.1016/S0261-5177(99)00060-6Search in Google Scholar

[42] Murthy, D. N. P., Xie, M., & Jiang, R. (2004). Weibull Models. New Jersey: John Wiley & Sons.Search in Google Scholar

[43] Müller, D. K., & Grenier, A. A. (2011). Polar Tourism: A Tool for Regional development Quebec Presses de l’Université du Québec.Search in Google Scholar

[44] Nogawa, H., Yamaguchi, Y., & Hagi, Y. (1996). An empirical research study on Japanese sport tourism in sport-for-all events: Case studies of a single-night event and a multiplenight event. Journal of Travel Research, 35(2), 46-54.10.1177/004728759603500208Search in Google Scholar

[45] Oakes, D. (1977). The asymptotic information in censored survival data. Biometrika, 64(3), 441-448.10.1093/biomet/64.3.441Search in Google Scholar

[46] Ousby, I. (1990). The Englishman’s England: taste, travel and the rise of tourism. Cambridge: Cambridge University Press.Search in Google Scholar

[47] Schoenfeld, D. (1982). Partial residuals for the proportional hazards regression model. Biometrika, 69(1), 239-241.10.1093/biomet/69.1.239Search in Google Scholar

[48] Sezgin, E., & Yolal, M. (2012). Golden Age of Mass Tourism: Its History and Development. Ankara: INTECH10.5772/37283Search in Google Scholar

[49] Silberman, J. (1985). A demand function for length of stay: the evidence from Virginia Beach. Journal of Travel Research, 23(4), 16-23.10.1177/004728758502300403Search in Google Scholar

[50] Song, H., Li, g., Witt, S. F., & Fei, B. (2010). Tourism demand modelling and forecasting: how should demand be measured. Tourism Economics, 16(1), 63-81.10.5367/000000010790872213Search in Google Scholar

[51] Svalastog, S. (1992). Tourism in a changing Norway. Norsk Geografisk Tidsskrift-Norwegian Journal of Geography, 46(2), 109-116.10.1080/00291959208552289Search in Google Scholar

[52] Swarbrooke, J., & Horner, S. (2007). Consumer behaviour in tourism. New York: Routledge.10.4324/9780080466958Search in Google Scholar

[53] Therneau, T. M., Grambsch, P. M., & Fleming, T. R. (1990). Martingale-based residuals for survival models. Biometrika, 77(1), 147-160.10.1093/biomet/77.1.147Search in Google Scholar

[54] Thrane, C. (2012). Analyzing tourists’ length of stay at destinations with survival models: A constructive critique based on a case study. Tourism management, 33(1), 126-132.10.1016/j.tourman.2011.02.011Search in Google Scholar

[55] Thrane, C. (2015). Research note: The determinants of tourists’ length of stay: some further modelling issues. Tourism Economics, 21(5), 1087-1093.10.5367/te.2014.0385Search in Google Scholar

[56] Towner, J. (1985). The Grand Tour, A Key Phase in the History of Tourism. Annals of Tourism Research., 12(3), 297-333.10.1016/0160-7383(85)90002-7Search in Google Scholar

[57] Towner, J. (1988). Approaches to tourism history. Annals of Tourism Research, 15(1), 47-62.10.1016/0160-7383(88)90070-9Search in Google Scholar

[58] Towner, J. (1995). What is tourism’ s history? Tourism Managemen, 16(5), 339-343.10.1016/0261-5177(95)00032-JSearch in Google Scholar

[59] Towner, J., & Wall, G. (1991). HISTORY AND TOURISM. Annals of Tourism Research, 18(1), 71-84.10.1016/0160-7383(91)90040-ISearch in Google Scholar

[60] Turner, L. W., & Witt, S. F. (2001). Factors influencing demand for international tourism: Tourism demand analysis using structural equation modelling, revisited. Tourism Economics, 7(1), 21-38.10.5367/000000001101297711Search in Google Scholar

[61] Van den Berg, G. J. (2001). Chapter 55 - Duration models: specification, indetification and multiple durations. In J. J. Heckman & E. Leamer (Eds.), Handbook of econometrics (Vol. 5): Elsevier.Search in Google Scholar

[62] Walchester, K. (2014). Gamle Norge and Nineteenth-century British Women Travellers in Norway. London: Anthem Press.Search in Google Scholar

[63] Weaver, P. A., McCleary, K. W., Lapisto, L., & Damonte, L. T. (1994). The relationship of destination selection attributes to psychological, behavioral and demographic variables. Journal of Hospitality & Leisure Marketing, 2(2), 93-109.10.1300/J150v02n02_07Search in Google Scholar

[64] Witt, S. F., & Witt, C. A. (1995). Forecasting tourism demand: A review of empirical research. Interational journal of forecasting, 11(3), 447-475.10.1016/0169-2070(95)00591-7Search in Google Scholar

[65] Cox, D. R. (1972). Regression Models and Life-Tables. Journal of the Royal Statistical Society-Series B (methodological), 34(2), 187-220.10.1111/j.2517-6161.1972.tb00899.xSearch in Google Scholar

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