Causality between Oil Prices and Tourist Arrivals

被引：3

作者：

Huang, Xu ^{[1
]}

Silva, Emmanuel ^{[2
]}

Hassani, Hossein ^{[3
]}

机构：

[1] De Montfort Univ, Fac Business & Law, Leicester LE1 9BH, Leics, England

[2] Univ Arts London, London Coll Fash, Fash Business Sch, London WC1V 7EY, England

[3] Univ Tehran, Res Inst Energy Management & Planning, Tehran 1417466191, Iran

来源：

STATS | 2018年 / 1卷 / 01期

关键词：

oil price; tourist arrivals; causality; convergent cross mapping; granger causality;

D O I：

10.3390/stats1010010

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

This paper investigates the causal relationship between oil price and tourist arrivals to further explain the impact of oil price volatility on tourism-related economic activities. The analysis itself considers the time domain, frequency domain, and information theory domain perspectives. Data relating to the US and nine European countries are exploited in this paper with causality tests which include the time domain, frequency domain, and Convergent Cross Mapping (CCM). The CCM approach is nonparametric and therefore not restricted by assumptions. We contribute to existing research through the successful and introductory application of an advanced method and via the uncovering of significant causal links from oil prices to tourist arrivals.

引用

页码：134 / 154

页数：21

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