TY - JOUR
T1 - MONTHLY SEASONAL VARIATIONS: ASIAN TOURISM TO AUSTRALIA
AU - Lim, C.
AU - Mcaleer, Michael
PY - 2000
Y1 - 2000
N2 - Tourist arrivals series from Hong Kong, Mala! sial and Singapore to Australia exhibit strong seasonality. For data and policy analysis, it is useful to obtain seasonally adjusted data for international tourism from the respective origin countries. This paper applies the moving average technique for estimating the seasonal components of time series to monthly tourist arrivals time sri ies data to Australia. The autocorrelation and partial autocorrelation functions. the Lagrange multiplier test for the absence of serial correlation, and model selection criteria, namely the Akaike Information Criterion and Schwarz Bayesian Criterion. are used to examine which time series processes best describe international arrivals data for Australia.
AB - Tourist arrivals series from Hong Kong, Mala! sial and Singapore to Australia exhibit strong seasonality. For data and policy analysis, it is useful to obtain seasonally adjusted data for international tourism from the respective origin countries. This paper applies the moving average technique for estimating the seasonal components of time series to monthly tourist arrivals time sri ies data to Australia. The autocorrelation and partial autocorrelation functions. the Lagrange multiplier test for the absence of serial correlation, and model selection criteria, namely the Akaike Information Criterion and Schwarz Bayesian Criterion. are used to examine which time series processes best describe international arrivals data for Australia.
U2 - 10.1016/S0160-7383(00)00002-5
DO - 10.1016/S0160-7383(00)00002-5
M3 - Article
SN - 0160-7383
VL - 28
SP - 68
EP - 82
JO - Annals of Tourism Research
JF - Annals of Tourism Research
IS - 1
ER -