Forecasting international city tourism demand for Paris: Accuracy of uni- and multivariate models employing monthly data

By Ulrich Gunter, Irem Önder. 2015

164 citations recorded by the source corpus.

Subfields: Sociology and Political Science, Tourism, Leisure and Hospitality Management, Transportation

View Paper: https://www.semanticscholar.org/paper/b910b7998b81a11b9070035cf32c1bca88b91475

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Sociology and Political Science

1. Kwok Leung Tsui
2. Yunjie Wei
3. Shouyang Wang
4. Xianduan Yang
5. Shaolong Sun

In Tourism, Leisure and Hospitality Management

1. Kwok Leung Tsui
2. Yunjie Wei
3. Shouyang Wang
4. Xianduan Yang
5. Shaolong Sun

Citations in the corpus

• Micro-economic determinants of tourist expenditure: a quantile regression approach. (2015, unknown): “…methods based on vector autoregressive models (Chatziantoniou et al., 2013), cointegration (Tang and Tan, 2015), multivariate forecasting models (Gunter and Önder, 2015), almost ideal demand system models (Li et al., 2013; Lee et al., 2015), logistic transition regression models (Wang, 2014),…”
• Forecasting tourist arrivals with machine learning and internet search index (2017, background): “It’s the perishable nature of tourism products that makes forecasting tourist volumes an important subject for future success [1].”