By implementing the Copulas method, this work analyses the dependence relationship or structure between the Brazilian consumer observed inflation and the expected inflation, from January 2005 to June 2011. Its results are consistent with some works for the Brazilian case, as the dependence...

This paper sought to find the long-run relationships between international tourist arrivals in Thailand and economic variables such as GDP, cost of transportation and exchange rates for the period 1996 to 2007. Also this paper used five standard panel unit root tests such as LLC (2002) panel...

This paper sought to find the short-run and long-run relationships between international tourist arrivals in Thailand with economic variables such as GDP, the price of goods and services, transportation costs, and the exchange rate for the period from 1997(Q1)-2005(Q2). Both the Cointegration...

This paper sought to find the short-run and long-run relationships between international tourist arrivals in Thailand and economic variables such as GDP, the price of goods and services, transportation costs, temperature of Thailand and both the exchange rate and exchange rate risk for the...

Structural equation model (LISREL 8) was applied to test the causal relationships between tourist travel motivations and tourist destination. A survey containing Likert scale questions was conducted to collect data from 100 tourists who had travelled to Greece’s tourist destination. With...

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...

Structural equation modelling (LISREL 8) was used to test the causal relationships between tourist travel motivations (travel cost satisfaction and tourist demographics) and tourist destination (tourism product, tourism product attributes, and tourism product management). A survey containing...

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...

Forecasting is an essential analytical tool in tourism policy and planning. This paper focuses on forecasting methods based on ARFIMA(p,d,q) or fractionally integrated moving average(ARFIMA). The secondary data were used to produce forecasts of international tourist arrivals to Thailand for...

Econometric forecasting involves the application of statistical and mathematical models to forecast future economic developments. This study focuses on forecasting methods based on both X-12-ARIMA seasonal adjustment and an autoregressive fractionally integrated moving average (ARFIMA)....