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Forecasting with X-12-ARIMA: International tourist arrivals to India and Thailand AgEcon
Balogh, Peter; Kovacs, Sandor; Chaiboonsri, Chukiat; Chaitip, Prasert.
Forecasting is an essential analytical tool in tourism policy and planning. This paper focuses on forecasting methods based on X-12-ARIMA seasonal adjustment and this method was developed by the Census Bureau in the United States. It has been continually improved since the 1960s, and it is used by many statistics agencies and central banks. The secondary data were used to produce forecasts of international tourist arrivals to India for 2007-2010 and also these data were used to produce forecasts of international tourist arrivals to Thailand for 2006-2010. From these period the results confirm that the best forecasting method based on the X-12-ARIMA seasonal adjustment is X-12-ARIMA(0,1,2)(0,1,1), X-12-ARIMA(0,1,1)(0,1,1) and X-12-ARIMA(2,1,0)(0,1,1) for...
Tipo: Journal Article Palavras-chave: India; Thailand; International tourism; X-12-ARIMA; The best forecasting methods; Agricultural and Food Policy; International Development; Research Methods/ Statistical Methods.
Ano: 2009 URL: http://purl.umn.edu/49226
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