Nowcasting Tourism Industry Performance Using High Frequency Covariates
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- Ashley Hirashima & James Jones & Carl S. Bonham & Peter Fuleky, 2016. "Nowcasting Tourism Industry Performance Using High Frequency Covariates," Working Papers 201611, University of Hawaii at Manoa, Department of Economics.
- Carl Bonham & Peter Fuleky & James Jones & Ashley Hirashima, 2015. "Nowcasting Tourism Industry Performance Using High Frequency Covariates," Working Papers 2015-13R, University of Hawaii Economic Research Organization, University of Hawaii at Manoa, revised Jul 2016.
References listed on IDEAS
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Cited by:
- Eric W. K. See-To & Eric W. T. Ngai, 2018. "Customer reviews for demand distribution and sales nowcasting: a big data approach," Annals of Operations Research, Springer, vol. 270(1), pages 415-431, November.
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More about this item
Keywords
; ; ;JEL classification:
- H51 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Health
- I12 - Health, Education, and Welfare - - Health - - - Health Behavior
- Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects
- Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling
NEP fields
This paper has been announced in the following NEP Reports:- NEP-FOR-2016-02-23 (Forecasting)
- NEP-TUR-2016-02-23 (Tourism Economics)
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