This article builds on the work of Greenidge, employing structural time series model (STSM) to explain and forecast quarterly tourist flows from Barbados' primary source markets — the USA, the United Kingdom, Canada and CARICOM — for the period 1966:1-2007:4. Results show that the structure and nature of the individual time series components have evolved significantly since the work of Greenidge. Of particular interest, arrivals from the main source markets appear to be less income sensitive. The study also investigates the predictive power of STSM. A seasonal naive model is used for benchmark comparison purposes. We find that STSM outperforms the seasonal naive model in its both multivariate and univariate form.
ClarkeC.WoodC.WorrellD. (1986) Prices, incomes and the growth of tourism. Central Bank of Barbados Economic Review13(1): 10–45.
6.
Cukier-SnowJ.WallG. (1993) Tourism employment: Perspectives from Bali. Tourism Management14(3): 195–201.
7.
CulpanR. (1987) International tourism model for developing countries. Annals of Tourism Research14(4): 541–552.
8.
DalrympleK.GreenidgeK. (1999) Forecasting arrivals to Barbados. Annals of Tourism Research26(1): 188–218.
9.
DharmaratneG. (1995) Forecasting tourist arrivals in Barbados. Annals of Tourism Research22(4): 804–818.
10.
Du PreezJ.WittS.F. (2003) Univariate versus multivariate time series forecasting: An application to international tourism demand. International Journal of Forecasting19, 435–451.
11.
GonzalezP.MoralP. (1995) An analysis of the international tourism demand in Spain. International Journal of Forecasting11(2): 233–251.
12.
GreenidgeK. (2001) Forecasting tourism demand: An STSM approach. Annals of Tourism Research28(1): 98–112.
13.
HarveyA.C. (1989) Forecasting Structural Time Series Models and the Kalman Filter.Cambridge: Cambridge University Press.
14.
HarveyA.C. (1995) STAMP 5.0: Tutorial Guide.London: Chapman and Hall.
15.
KimJ.H.MoosaI.A. (2005) Forecasting international tourist flows to Australia: A comparison between the direct and indirect methods. Tourism Management26(1): 69–78.
16.
KulderanN.WittS. (2003) Forecasting the demand for international business tourism. Journal of Travel Research41(3): 265–271.
17.
LiG.SongH. (2008) Tourism demand modelling and forecasting — A review of recent research. Tourism Management29: 203–220.
18.
LiG.SongH.WittS. (2005) Recent developments in econometric modeling and forecasting. Journal of Travel Research44(1): 82–99.
19.
LordeT.JackmanM. (2009) Modelling and forecasting tourist flows to Barbados. University of the West Indies, Cave Hill Campus, Barbados: (mimeo).
20.
MathiesonA.WallG. (1982) Tourism: Economic, Physical and Social Impacts.London: Longman.
21.
Metzgen-QuemarezY. (1990) Estimating the Demand for International Tourist Services: The USA and the Caribbean.Princeton, NJ: Princeton University Press.
22.
RosenweigJ. (1988) Elasticities of substitution in Caribbean tourism. Journal of Development Economics29(1): 89–100.
23.
TurnerL.W.KulderanN.FernandoH. (1997) Univariate modelling using periodic and non-periodic analysis: Inbound tourism to Japan, Australia and New Zealand compared. Tourism Economics3(1): 39–56.
24.
TurnerL.W.WittS.F. (2001) Forecasting tourism using multivariate and univariate structural time series models. Tourism Economics7(2): 135–147.
25.
WangY.LimC. (2005) Using time series models to forecast tourist flows. In: KachitvichyanukulV.PurintrapibanU.UtayopasP. (eds.). Proceeding of the 2005 International Conference on Simulation and Modelling. Bangkok: Asian Institute of Technology, pp. 556–563.
26.
WittS.F.TurnerL. (2002) Trends and forecasts for inbound tourism to China. Journal of Travel and Tourism Marketing13(1): 97–107.
27.
WittS.F.WittC.A. (1995) Forecasting tourism demand: A review of empirical research. International Journal of Forecasting11(3): 447–475.
28.
WorrellD.GreenidgeK.DownesD.DalrympleK. (1997) Forecasting Tourism Demand in Barbados in Central Bank of Barbados Working Papers, Vol. II. Bridgetown, Barbados: Central Bank of Barbados.
