The paper analyses, estimates and forecasts the demand for international and domestic tourism to Sardinia (Italy). Monthly data are used for the sample period from 1987 to 2002. Concepts such as seasonal and long run unit roots are employed. Two econometric approaches, the OLS and ARIMAX, are used that give satisfactory results in terms of both the estimation and forecasting phases. A full range of diagnostic tests is provided. An ex-ante forecasting exercise is run for tourism demand to Sardinia for the period between January and December 2003.monthly data, unit roots, ols, arimax
This study evaluates the forecasting accuracy of five alternative econometric models in the context ...
This paper constructs and estimates the demand for international tourism for the Italian Province of...
The paper provides a short-run estimation of international tourism demand focusing on the case of FY...
The aim of this thesis is to construct and estimate the demand for tourism for the Italian Province ...
This paper presents an application of some forecasting methods concerning sport tourism arrivals in ...
Abstract Purpose- There is a lack of studies on tourism demand forecasting that use non-linear model...
The purpose of this paper is to construct adequate seasonal ARIMA models, using Box-Jenkins methodol...
Previous research in the area of tourism demand modeling and forecasting has paid little attention t...
We evaluate the performances of various methods for forecasting tourism data. The data used include ...
In this paper two popular time series methods for modeling seasonality in tourism forecasts are comp...
This paper reviews the published studies on tourism demand modelling and forecasting since 2000. One...
Tourism demand forecasts are of great economic value both for the public and private sector. Any inf...
Eighty-four post-1990 empirical studies of international tourism demand modeling and forecasting usi...
Eighty-four post-1990 empirical studies of international tourism demand modeling and forecasting usi...
Most tourism destinations are affected by seasonality. Seasonal demand causes various problems for l...
This study evaluates the forecasting accuracy of five alternative econometric models in the context ...
This paper constructs and estimates the demand for international tourism for the Italian Province of...
The paper provides a short-run estimation of international tourism demand focusing on the case of FY...
The aim of this thesis is to construct and estimate the demand for tourism for the Italian Province ...
This paper presents an application of some forecasting methods concerning sport tourism arrivals in ...
Abstract Purpose- There is a lack of studies on tourism demand forecasting that use non-linear model...
The purpose of this paper is to construct adequate seasonal ARIMA models, using Box-Jenkins methodol...
Previous research in the area of tourism demand modeling and forecasting has paid little attention t...
We evaluate the performances of various methods for forecasting tourism data. The data used include ...
In this paper two popular time series methods for modeling seasonality in tourism forecasts are comp...
This paper reviews the published studies on tourism demand modelling and forecasting since 2000. One...
Tourism demand forecasts are of great economic value both for the public and private sector. Any inf...
Eighty-four post-1990 empirical studies of international tourism demand modeling and forecasting usi...
Eighty-four post-1990 empirical studies of international tourism demand modeling and forecasting usi...
Most tourism destinations are affected by seasonality. Seasonal demand causes various problems for l...
This study evaluates the forecasting accuracy of five alternative econometric models in the context ...
This paper constructs and estimates the demand for international tourism for the Italian Province of...
The paper provides a short-run estimation of international tourism demand focusing on the case of FY...