A latent class approach to tourists' length of stay

Tourism Management

Volumn 32, Issue 3, 2011, Pages 555-563

  Alegre, Joaquín ^a   Mateo, Sara ^a   Pou, Llorenç ^a  

^a UNIVERSITAT DE LES ILLES BALEARS   (Spain)

Author keywords

Conditional demand function; Duration of holiday; Latent class model; Length of stay; Truncated Poisson regression

Indexed keywords

DEMAND ANALYSIS; ESTIMATION METHOD; MODEL; POISSON RATIO; STATISTICAL ANALYSIS; TOURIST DESTINATION;

EID: 78650977870     PISSN: None     EISSN: 02615177     Source Type: Journal    
DOI: 10.1016/j.tourman.2010.05.003     Document Type: Article

References (63)

1. Agarwal V.B., Yochum G.R. Tourist spending and the race of visitors. Journal of Travel Research 1999, 38(2):173-176.
2. Aguiló E., Alegre J., Sard M. The persistence of the sun and sand tourism model. Tourism Management 2005, 26(2):219-231.
3. Alegre J., Cladera M. Repeat visitation in mature sun and sand holiday destinations. Journal of Travel Research 2006, 44(3):288-297.
4. Alegre J., Juaneda C. Destination loyalty. Consumers' economic behaviour. Annals of Tourism Research 2006, 33(3):684-706.
5. Alegre J., Pou Ll The reduction of the length of stay in holiday destinations: implications on tourist expenditure and seasonality in the Balearic Islands. Situación, Serie Estudios Regionales 2003, (in Spanish) (pp. 177-202), BBVA.
6. Alegre J., Pou Ll The length of stay in the demand for tourism. Tourism Management 2006, 27(6):1343-1355.
7. Alegre J., Pou Ll Microeconomic determinants of the duration of stay of tourists. Advances in modern tourism research 2007, 181-206. Physica-Verlag, Heidelberg. A. Matias, P. Nijkamp, P. Neto (Eds.).
8. Alegre J., Pou Ll Tourism expenditure and all-inclusive packages - the case of a nature Mediterranean destination. Tourism Economics 2008, 14(3):645-655.
9. Bago T. Latent class models for use of primary care: evidence from a British panel. Health Economics 2005, 14(9):873-892.
10. Bago T. Latent class models for utilisation of health care. Health Economics 2006, 15(4):329-343.
11. Bell F.W., Leeworthy V.R. Recreational demand by tourists for saltwater beach days. Journal of Environmental and Management 1990, 18(3):189-205.
12. Boxall P.C., Adamowicz W.L. Understanding heterogeneous preferences in random utility models: a latent approach. Environmental and Resource Economics 2002, 23(4):421-446.
13. Bucklin R.E., Gupta S. Brand choice, purchase incidence, and segmentation: an integrated modeling approach. Journal of Marketing Research 1992, 29:201-215.
14. Bucklin R.E., Gupta S., Siddarth S. Determining segmentation in sales response across consumer purchase behaviors. Journal of Marketing Research 1998, XXXV(May):189-197.
15. Cannon T.F., Ford J. Relationship of demographic and trip characteristics to visitor spending: an analysis of sports travel visitors across time. Tourism Economics 2002, 8(3):263-271.
16. Chintagunta P.K., Jain C., Vilcassim N.J. Investigating heterogeneity in brand preferences in logit models for panel data. Journal of Marketing Research 1991, 33:417-428.
17. Correia, A., & Pestana, C. (2007). Heterogeneity in tourism choice behavior: a latent class logit model. In First conference of the International Association for Tourism Economics. October, University of the Balearic Islands, Palma de Mallorca.
18. Deb P., Holmes A.M. Estimates of use and costs of behavioural health care: a comparison of standard and finite mixture models. Health Economics 2000, 9(6):475-489.
19. Deb P., Trivedi P.K. Demand for medical care by elderly: a finite mixture approach. Journal of Applied Econometrics 1997, 12(3):313-336.
20. Deb P., Trivedi P.K. The structure of demand for health care: latent class versus two-part models. Journal of Health Economics 2002, 21(4):601-625.
21. Dillon W.R., Gupta S. A segment-level model of category volume and brand choice. Marketing Science 1996, 15(1):38-59.
22. Dubin J.A., McFadden D.L. An econometric analysis of residential electric appliance holdings and consumption. Econometrica 1984, 52(2):345-362.
23. Fleischer A., Pizam A. Tourism constraints among Israeli seniors. Annals of Tourism Research 2002, 29(1):106-123.
24. Gokovali U., Bahar O., Kozak M. Determinants of length of stay: a practical use of survival analysis. Tourism Management 2007, 28(3):736-746.
25. Gomes de Menezes A., Moniz A. Determinants of length of stay. A parametric survival analysis 2006, Working paper, 19/2006, Centro de Estudos de Economia Aplicada do Atlântico.
26. Gomes de Menezes A., Moniz A., Cabral J. The determinants of length of stay of tourists in the Azores. Tourism Economics 2008, 14(1):205-222.
27. Government of the Balearic Islands El turisme a les Illes Balears. Dades informatives 2009, Conselleria de Turisme, Palma de Mallorca.
28. Guadagni P.M., Little J.D.C. A logit model of brand choice calibrated on scanner data. Marketing Science 1983, 2(3):203-238.
29. Hanemann W.M. Discrete/continuous models of consumer demand. Econometrica 1984, 52(3):541-561.
30. Jiménez-Martín S., Labeaga J.M., Martínez-Granado M. Latent class versus two-part models in the demand for physician services across the European Union. Health Economics 2002, 11(4):301-321.
31. Jiménez-Martín S., Labeaga J.M., Martínez-Granado M. An empirical analysis of the demand for physician services across the European Union. European Journal of Health Economics 2004, 5(2):150-165.
32. Kamakura W.A., Kim B.-D., Lee J. Modelling preference and structural heterogeneity in consumer choice. Marketing Science 1996, 15(2):152-172.
33. Kamakura W.A., Russell G.J. A probabilistic choice model for market segmentation and elasticity structure. Journal of Marketing Research 1989, XXVI(Nov.):379-390.
34. Kemperman A.D.A.M., Timmermans H.J.P. Preferences, benefits, and park visits: a latent class segmentation analysis. Tourism Analysis 2006, 11(4):221-230.
35. Mak J., Moncur J., Yonamine D. Determinants of visitor expenditures and visitor length of stay: a cross-section analysis of U.S. visitors to Hawaii. Journal of Travel Research 1977, 15:5-8.
36. Mak J., Nishimura E. The economics of a hotel room tax. Journal of Travel Research 1979, 17:2-6.
37. Martinez-Garcia, E., & Raya, J. M. (2007). Length of stay of tourists travelling with low cost airlines. In First conference of the International Association for Tourism Economics. October, University of the Balearic Islands, Palma de Mallorca.
38. Martinez-Garcia E., Raya J.M. Length of stay for low-cost tourism. Tourism Management 2008, 29:1064-1075.
39. Mazanec J.A., Strasser H. Perceptions-based analysis of tourism product and service providers. Journal of Travel Research 2007, 54(4):387-401.
40. Morey E., Thacher J., Breffle W. Using angler characteristics and attitudinal data to identify environmental preference classes: a latent-class model. Environmental Resource Economics 2006, 34(1):91-115.
41. Mules T. Decomposition of Australian tourist expenditure. Tourism Management 1998, 19:267-271.
42. Nicolau J.L., Más F.J. A random parameter logit approach to the two-stage tourist choice process: Going on holidays and length of stay 2004, Working paper AD 2004-46, Instituto Valenciano de Investigaciones Económicas.
43. Nogawa H., Yamaguchi Y., Hagi Y. An empirical research study on Japanese sport tourism in sport-for-all events: case studies of a single-night event and a multiple night event. Journal of Travel Research 1996, 35(2):46-54.
44. Pestana Barros C., Butler R., Correia A. The length of stay of golf tourism: a survival analysis. Tourism Management 2010, 31:13-21.
45. Pestana Barros C., Correia A. Survival analysis in tourism demand: The length of stay in Latin American destinations 2007, Working paper 03/2007/DE, Departamento de Economia, Instituto Superior de Economia e Gestã, Universidade Técnica de Lisboa.
46. Pollak R.A. Conditional demand functions and consumption theory. The Quarterly Journal of Economics 1969, 83(1):60-78.
47. Pollak R.A. Conditional demand functions and the implications of separable utility. Southern Economic Journal 1971, 73(4):423-433.
48. Provencher B., Barenklau K., Bishop R. A finite mixture logit model of recreational angling with serially correlated random utility. American Journal of Agricultural Economics 2002, 84(4):1066-1075.
49. Provencher B., Bishop R. Does accounting for preference heterogeneity improve the forecasting of a random utility model? A case study. Journal of Environment and Economic Management 2004, 48(1):793-810.
50. Scarpa R., Thiene M. Destination choice models for rock climbing in the Northeastern Alps: a latent-class approach based on intensity of preferences. Land Economics 2005, 81(3):426-444.
51. Scarpa R., Thiene M., Tempesta T. Latent class count models of total visitation demand: days out hiking in the eastern Alps. Environmental and Resource Economics 2007, 38(4):447-460.
52. Seaton A.V., Palmer C. Understanding VFR tourism behaviour: the first five years of the United Kingdom tourism survey. Tourism Management 1997, 1(6):345-355.
53. Shonkwiler J., Shaw W. A finite mixture approach to analyzing income effects in random utility models: reservoir recreation along the Columbia river. The new economics of outdoor recreation 2003, Edward Elgar, UK. N. Hanley, W. Shaw, R. Wright (Eds.).
54. Spotts D.M., Mahoney E.M. Segmenting visitors to a destination region based on the volume of their expenditures. Journal of Travel Research 1991, 29(4):24-31.
55. Taylor D.T., Fletcher R.R., Clabaugh T. A comparison of characteristics, regional expenditures, and economic impact of visitors to historical sites with other recreational visitors. Journal of Travel Research 1993, 32(1):30-35.
56. Van Limburg B. Overnight tourism in Amsterdam 1982-1993 - a forecasting approach. Tourism Management 1997, 18(7):465-468.
57. Van der Ark L.A., Richards G. Attractiveness of cultural activities in European cities: a latent class approach. Tourism Management 2006, 27(6):1408-1413.
58. Varki S., Chintagunta P.K. The augmented latent class model: incorporating additional heterogeneity in the latent class model for panel data. Journal of Marketing Research 2004, XLI(May):226-233.
59. Vermunt J.K., Magidson J. Technical guide for latent GOLD 4.0: Basic and advanced 2005, Statistical Innovations Inc, Belmont, Massachusetts.
60. Wang K., Yau K.K.W., Lee A.H. A hierarchical Poisson mixture regression model to analyse maternity length of hospital stay. Statistics in Medicine 2002, 21(23):3639-3654.
61. Wedel M., Desarbo W.S., Bult J.R., Ramaswamy V. A latent class Poisson regression model for heterogeneous count data. Journal of Applied Econometrics 1993, 8(4):397-411.
62. Xiang L., Yau K.K.W., Lee A.H., Fung W.K. Influence diagnostics for two-component Poisson mixture regression models: application in public health. Statistic in Medicine 2005, 24(19):3053-3071.
63. Yau K.K.W., Lee A.H., Ng A.S.K. Finite mixture regression model with random effects: application to neonatal hospital length of stay. Computational Statistics & Data Analysis 2003, 41(3-4):359-366.