Assessing the effects of terrorism on tourism by use of time series methods
- 1 June 2003
- journal article
- research article
- Published by SAGE Publications in Tourism Economics
- Vol. 9 (2), 179-190
- https://doi.org/10.5367/000000003101298349
Abstract
This paper presents an assessment of the effects of terrorism on tourism by using time series methods, namely the ARMAX (autoregressive moving average with explanatory variables) model. This is a single-equation approach, which has the ability to provide impact analysis easily. The use of the ARMAX model allows for the general shape of the lag distribution of the impacts of the explanatory variables based on the ratio of lag polynomials for the independent and dependent variables. The ARMAX models, like the ARIMA models, provide for a short-term assessment of terrorist incidents on tourism.Keywords
This publication has 12 references indexed in Scilit:
- Testing for Unit Roots with Breaks: Evidence on the Great Crash and the Unit Root Hypothesis ReconsideredOxford Bulletin of Economics and Statistics, 1997
- Further evidence on breaking trend functions in macroeconomic variablesJournal of Econometrics, 1997
- Multiple Trend Breaks and the Unit-Root HypothesisThe Review of Economics and Statistics, 1997
- An Econometric Analysis of the Impact of Terrorism on TourismKyklos, 1992
- Causality between transnational terrorism and tourism: The case of SpainTerrorism, 1991
- The Great Crash, the Oil Price Shock, and the Unit Root HypothesisEconometrica, 1989
- Cycles and Substitutions in Terrorist Activities: A Spectral ApproachKyklos, 1987
- Terrorism in a Bargaining FrameworkThe Journal of Law and Economics, 1987
- Likelihood Ratio Statistics for Autoregressive Time Series with a Unit RootEconometrica, 1981
- The Estimation of Simultaneous Equation Models with Lagged Endogenous Variables and First Order Serially Correlated ErrorsEconometrica, 1970