Monthly seasonal variations - Asian tourism to Australia

Tourist arrivals series from Hong Kong, Mala! sial and Singapore to Austral ia exhibit strong seasonality. For data and policy analysis, it is useful t o obtain seasonally adjusted data for international tourism from the respec tive origin countries. This paper applies the moving average technique for estimating the seasonal components of time series to monthly tourist arriva ls time sri ies data to Australia. The autocorrelation and partial autocorr elation functions. the Lagrange multiplier test for the absence of serial c orrelation, and model selection criteria, namely the Akaike Information Cri terion and Schwarz Bayesian Criterion. are used to examine which time serie s processes best describe international arrivals data for Australia.