Seasonality and cycles in tourism demand-redux

被引：11
|
作者：
Vatsa, Puneet [1 ]
机构：
[1] Lincoln Univ, Fac Agribusiness & Commerce, Dept Global Value Chains & Trade, POB 85084, Lincoln 7647, New Zealand
来源：
ANNALS OF TOURISM RESEARCH | 2021年 / 90卷
关键词：
Time-series; Cycles; Seasonality; Tourism demand; SPECTRAL-ANALYSIS;
D O I：
10.1016/j.annals.2020.103105
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
Analyzing tourism demand cycles is of strong interest to researchers and forecasters. However, often the preponderance of seasonality encumbers the derivation of cycles that are free of seasonal patterns. Using recent advances in time-series econometrics, we offer a solution. We em-ploy two methods that produce cycles that are robust to seasonal properties of the data; cycles from seasonally adjusted and unadjusted data are virtually indistinguishable. (C) 2020 Elsevier Ltd. All rights reserved.
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页数：4
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