Tourism Forecasting: The General-to-Specific Approach
By Haiyan Song, Stephen F. Witt. 2003
151 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Marketing, Sociology and Political Science
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Citations in the corpus
- Tourism demand modelling and forecasting—A review of recent research (2008, methodology): “ADLM was employed in such studies as Song et al (2003a) and Song et al (2003c).”
- A meta-analysis of international tourism demand forecasting and implications for practice (2014, methodology): “However, one of the possible problems with this method is that the structure of the selected final model relies too much on the data used, even though economic theory plays an important role in the initial specification of the general model (Song & Witt, 2003).”
- Modeling tourism: A fully identified VECM approach (2009, methodology): “For example, Song and Witt (2003) note the difficulty of interpreting multiple cointegrating relationships, and omit from consideration cases where more than one relationship is found.”
- A Meta-Analysis of International Tourism Demand Elasticities (2013, unknown): “The meta-regression estimations follow the general-tospecific process (see the detailed explanation in Song and Witt 2003), in which variables that are insignificant at the 5% level or contradict economic theory are removed until all the remaining coefficients in the models are significantly…”
- Forecasting international tourist flows to Macau (2006, background): “Witt and T. C. Jensen (2003b). Tourism forecasting: accuracy of alternative econometric models.”
- Tourism demand for Italy and the business cycle (2010, background): “…inbound tourism (i ¼ 1 and i ¼ 2, respectively): ji;t þ 3i;t ¼ XKi k¼1 X4 j¼0 bk;j$iXk;t j þ hi;t i ¼ 1;2 (11) where j runs from 0 to 4, to enable the consideration of both the current values and the lags up to four quarters, as in the general-tospecific search discussed in Song and Witt (2003).”
- The determinants of inbound tourism to Malaysia: a panel data analysis (2017, background): “***The coefficient is significant at the 10% level. otherwise are complementary destinations (Song & Witt, 2003).”