Literature DB >> 35707238

Is there a causal relationship between oil prices and tourist arrivals?

Hossein Hassani1, Mansi Ghodsi1, Xu Huang2, Emmanuel Sirimal Silva3.   

Abstract

This application note 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 US and nine European countries are exploited in this paper with causality tests which include 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.
© 2020 Informa UK Limited, trading as Taylor & Francis Group.

Entities:  

Keywords:  Granger causality; Oil price; causality; convergent cross mapping; tourist arrivals

Year:  2020        PMID: 35707238      PMCID: PMC9041894          DOI: 10.1080/02664763.2020.1720625

Source DB:  PubMed          Journal:  J Appl Stat        ISSN: 0266-4763            Impact factor:   1.416


  4 in total

1.  Spatial convergent cross mapping to detect causal relationships from short time series.

Authors:  Thomas Clark; Hao Ye; Forest Isbell; Ethan R Deyle; Jane Cowles; G David Tilman; George Sugihara
Journal:  Ecology       Date:  2015-05       Impact factor: 5.499

2.  Detecting causality in complex ecosystems.

Authors:  George Sugihara; Robert May; Hao Ye; Chih-hao Hsieh; Ethan Deyle; Michael Fogarty; Stephan Munch
Journal:  Science       Date:  2012-09-20       Impact factor: 47.728

3.  Nonlinear forecasting as a way of distinguishing chaos from measurement error in time series.

Authors:  G Sugihara; R M May
Journal:  Nature       Date:  1990-04-19       Impact factor: 49.962

4.  Distinguishing time-delayed causal interactions using convergent cross mapping.

Authors:  Hao Ye; Ethan R Deyle; Luis J Gilarranz; George Sugihara
Journal:  Sci Rep       Date:  2015-10-05       Impact factor: 4.379

  4 in total

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