Bayesian models for tourism demand forecasting.
By K.K.W. Wong, Haiyan Song, K. Chon. 2006
111 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Tourism, Leisure and Hospitality Management
View Paper: https://www.semanticscholar.org/paper/c1b1876493b91c0d8beb9f81dd76b144b8f70e87
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Gang Li
- Haiyan Song
- Pritee Ray
- Ratri Parida
- Sanjita Jaipuria
- Amir F. Atiya
- Hisham El-Shishiny
- Robert Andrawis
In Tourism, Leisure and Hospitality Management
- Haiyan Song
- Gang Li
- Pritee Ray
- Ratri Parida
- Sanjita Jaipuria
- Hisham El-Shishiny
- Amir F. Atiya
- Robert Andrawis
Citations in the corpus
- Tourism demand modelling and forecasting—A review of recent research (2008, methodology): “Wong et al (2006) developed three Bayesian VAR models by introducing different restrictions (priors) to the unrestricted VAR model, and found significant improvements of forecast accuracy.”
- Forecasting Accuracy Evaluation of Tourist Arrivals: Evidence from Parametric and Non-Parametric Techniques (2015, unknown): “Along the same lines, Wong et al. (2006) do not consider any ARIMA model but rather concentrate on various VAR models, including both unrestricted and Bayesian (BVAR) models.”
- The impact of COVID-19 on tourism sector in India (2020, methodology): “The traditional time series models such as VAR (Witt et al., 2004), BVAR (Wong et al., 2006), ARIMA (Kulendran & Wong, 2005), MARIMA, SARIMA (Goh & Law, 2002), Statistical models like regression model, exponential smoothing (Athanasopoulos & Hyndman, 2008), Basic structural time series model (BSM)…”
- Combination of long term and short term forecasts, with application to tourism demand forecasting (2011, methodology): “Song, Witt, Wong, and Wu (2009) also explored forecast combination for tourism data, and obtained even more favorable results than Wong et al. (2007).”
- Tourism Development and Economic Growth in Seven Mediterranean Countries: A Panel Data Approach (2012, unknown): “The economists tend to rely on quantitative forecasts based on econometric modelling, which is often the most popular tool for projecting scenarios of tourism demand and tourism development (Turner and Witt, 2001; Witt et al, 2003; Wong et al, 2006; Song et al, 2009; Smeral, 2010).”