The Advanced Econometrics of Tourism Demand

By Haiyan Song, Stephen F. Witt, Gang Li. 2008

261 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Sociology and Political Science, Transportation

View Paper: https://www.semanticscholar.org/paper/fe02b7a5659749f947abf5ecbb90950722101707

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

In Sociology and Political Science

In Transportation

Citations in the corpus

A Meta-Analysis of International Tourism Demand Elasticities (2013, background): “…of demand elasticities are related to the characteristics of the data used and also to the key features of each study, such as data frequency, alternative measures of demand, the particular origins and destinations under study, and travel distance (Crouch 1992, 1996; Song, Witt, and Li 2009).”
Testing the efficacy of the economic policy uncertainty index on tourism demand in USMCA: Theory and evidence (2020, background): “Song et al. (2003) and Ayeh and Lin (2011) find that repeat visits and Word-of-Mouth highly influence tourism demand (Song et al., 2009).”
Global Economic Crisis and Tourism: Consequences and Perspectives (2010, background): “Nonetheless, economists tend to rely on quantitative forecasts based on econometric modeling, which is often the most popular tool to project future scenarios for tourism demand (Song, Witt, and Li 2009).”
Assessing the Impacts of the Global Economic Crisis and Swine Flu on Inbound Tourism Demand in the United Kingdom (2012, methodology): “For a detailed explanation of the TVP model and its estimation procedure, see Song, Witt, and Li (2009).”
The Tourism Development–Quality of Life Nexus in a Small Island Destination (2016, background): “A stationary time series is characterized by a constant mean, variance, and covariance over time (Song, Witt, and Li 2009).”
A meta-analysis of international tourism demand forecasting and implications for practice (2014, result): “According to Song, Witt, and Li (2009a), based on their examination of tourist arrivals in the UK and US, the TVP model generated the most accurate short-run forecasts, consistent with previous studies (Song, Romilly, & Liu, 1998; Song & Wong, 2003).”
Forecasting: theory and practice (2020, methodology): “…and some more tourism-specific demand drivers (source-market population, marketing expenditures, consumer tastes, habit persistence, and dummy variables capturing one-off events or qualitative characteristics) have been employed as predictors in tourism demand forecasting (Song et al., 2008).”
Determinants of Airbnb demand in Vienna and their implications for the traditional accommodation industry (2018, background): “Identifying and quantifying demand determinants embed the present research into the area of tourism demand modeling (e.g. Song et al., 2009).”
The Role of Tourism in Poverty Reduction: An Empirical Assessment (2014, background): “The application of ECM in tourism studies has been sporadic and limited to tourism demand studies (Song et al , 2009) and more recently to tourism and economic growth (Balaguer and Cantavella-Jorda, 2002; Dritsakis, 2004; Durbarry, 2004; Katircioglu, 2009).”
Hotel Revenue Management – A Critical Literature Review (2011, unknown): “RM process in general Emeksiz, Gursoy & Icoz (2006); Guadix, Cortes, Onieva & Munuzuri (2009); Lieberman (2003); Tranter, Stuart-Hill & Parker (2008); Vinod (2004)”