Skip to main content
Log in

Does television terrify tourists? Effects of US television news on demand for tourism in Israel

  • Published:
Journal of Risk and Uncertainty Aims and scope Submit manuscript

Abstract

We analyze the impact on US tourist flows to Israel of variations in both the actual intensity of the Israeli-Palestinian conflict and the intensity implicit in US television news coverage. Conditional on actual events, changes in reported conflict intensity could influence tourists because alternative sources of information are costly; this explanation is consistent with a rational choice model. However, television news could influence tourist behavior because of its emotional impact, or because it causes the conflict to be brought to mind more readily, increasing the subjective probability of conflict events. We find that tourists respond to variations in actual Israeli casualties and reported Palestinian casualties; both effects are large. Reports of Israeli casualties and unreported Palestinian casualties have no significant impact on tourist flows. These asymmetries are consistent with asymmetric information costs within a rational choice framework, but are more difficult to square with the alternative explanations for media influence.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

Notes

  1. Survey evidence indicates that American attitudes towards the risk of extreme political violence exhibit biases inconsistent with simple Expected Utility models. See Fischhoff et al. (2003) and Viscusi and Zeckhauser (2003).

  2. By contrast, Burger and Sturm (2005) construct a model of the German macro-economy conditional on the number of German television media reports of conflicts around the world. However, they do not compare this with a model using actual data from the conflicts that are partially reported.

  3. Equation (1) includes lags of the dependent variable up to 2; higher lags are theoretically possible, but turn out to be statistically insignificant in all cases we consider.

  4. NY = 1 if either Rosh Hashanah or Yom Kippur occur in the month; otherwise NY = 0.

  5. One disadvantage of our data is that they include business visitors in the total. However, no appropriately disaggregated data are available at a frequency higher than once every two months.

  6. The B’Tselem data do not cover violence along the Lebanese border, but this area does not attract such a large proportion of the foreign tourist market as it does of the domestic one.

  7. The dummy variable for March 2002 is omitted from the model when the 2001-004 sample is used, because it is collinear with the seasonal effects.

  8. This figure is significant in the light of the Gaza conflict of January 2009, which is outside of our sample period. The IDF prevented foreign journalists from entering Gaza, but Palestinian casualties were widely reported anyway.

  9. We also explored the effect of replacing our measure of the number of American tourists visiting Israel with the number of American tourist person nights (indicating the number of tourists in Israel times the number of nights they stayed); this time series is also available on the CBS website. The correlation between the two alternative dependent variables is 0.98. The results using the alternative dependent variable are very similar to the ones reported here; the main difference is in the ln(1 + PLK WNT ) coefficients, which are about 3–4 percentage points smaller, but still significant at the 5% level.

References

  • Azam, J.-P. (2005). Suicide-bombing as inter-generational investment. Public Choice, 122, 177–198.

    Article  Google Scholar 

  • Burger, H. & Sturm, J-E. (2005). Assessing the Cost of Terrorism. Media Tenor Quarterly 1.

  • Chiricos, T., Eschholz, S., & Gertz, M. (1997). Crime, news and fear of crime. Social Problems, 44, 342–357.

    Article  Google Scholar 

  • Drakos, K. (2004). Terrorism-induced structural shifts in financial risk. European Journal of Political Economy, 20, 435–446.

    Article  Google Scholar 

  • Drakos, K., & Kutan, A. (2003). Regional effects of terrorism on tourism in three Mediterranean countries. Journal of Conflict Resolution, 47, 621–641.

    Article  Google Scholar 

  • Eckstein, Z., & Tsiddon, D. (2004). Macroeconomic consequences of terror: theory and the case of Israel. Journal of Monetary Economics, 51, 971–1002.

    Article  Google Scholar 

  • Enders, W., & Sandler, T. (1991). Causality between trans-national terrorism and tourism: the case of Spain. Terrorism, 14, 49–58.

    Article  Google Scholar 

  • Enders, W., Sandler, T., & Parise, G. (1992). An econometric analysis of the impact of terrorism on tourism. Kyklos, 45, 531–554.

    Article  Google Scholar 

  • Fielding, D. (2003). Counting the costs of the Intifada: consumption, saving and political instability in Israel. Public Choice, 116, 297–312.

    Article  Google Scholar 

  • Fischhoff, B., Gonzalez, R., Small, D., & Lerner, J. (2003). Judged terror risk and proximity to the World Trade Center. Journal of Risk and Uncertainty, 26, 137–151.

    Article  Google Scholar 

  • Fischhoff, B., de Bruin, W. B., Perrin, W., & Downs, J. (2004). Travel risks in a time of terror: judgments and choices. Risk Analysis, 24(5), 1301–1309.

    Article  Google Scholar 

  • Fischhoff, B., Atran, S., & Fischhoff, N. (2007). Counting casualties: a framework for respectful, useful records. Journal of Risk and Uncertainty, 34, 1–19.

    Article  Google Scholar 

  • Fleischer, A., & Buccola, S. (2002). War, terror, and the tourism market in Israel. Applied Economics, 34, 1335–1343.

    Article  Google Scholar 

  • Frey, B., Luechinger, S., & Stutzer, A. (2007). Calculating tragedy: assessing the costs of terrorism. Journal of Economic Surveys, 21(1), 1–24.

    Article  Google Scholar 

  • Gentzkow, M., & Shapiro, J. (2006). Media bias and reputation. Journal of Political Economy, 114, 280–316.

    Article  Google Scholar 

  • Gerbner, G., & Gross, L. (1976). Living with television: the violence profile. Journal of Communication, 26, 173–199.

    Article  Google Scholar 

  • Gross, K., & Aday, S. (2003). The scary world in your living room and neighborhood: using local broadcast news, neighborhood crime rates, and personal experience to test agenda setting and cultivation. Journal of Communication, 53, 411–426.

    Article  Google Scholar 

  • Jaeger, D. A., & Paserman, M. D. (2006). Israel, the Palestinian factions, and the cycle of violence. American Economic Review, 96(2), 45–49.

    Article  Google Scholar 

  • Kalaitzandonakes, N., Marks, L., & Vickner, S. (2004). Media coverage of biotech foods and influence on consumer choice. American Journal of Agricultural Economics, 86, 1238–1246.

    Article  Google Scholar 

  • Mazzocchi, M. (2004). Modelling Consumer Reaction to Multiple Food Scares. Paper presented to the 78th annual meeting of the Agricultural Economics Society, Imperial College, London, England.

  • Piggott, N., & Marsh, T. (2004). Does food safety information impact U.S. meat demand? American Journal of Agricultural Economics, 86, 154–174.

    Article  Google Scholar 

  • Romer, D., Jamieson, K., & Aday, S. (2003). Television news and the cultivation of fear of crime. Journal of Communication, 53, 88–104.

    Article  Google Scholar 

  • Sandler, T. (2005). Collective versus unilateral responses to terrorism. Public Choice, 124, 75–93.

    Article  Google Scholar 

  • Sloboda, B. (2003). Assessing the effects of terrorism on tourism by use of time series methods. Tourism Economics, 9, 179–190.

    Google Scholar 

  • Sunstein, C. (2003). Terrorism and probability neglect. Journal of Risk and Uncertainty, 26, 121–136.

    Google Scholar 

  • Tversky, A., & Kahneman, D. (1973). Availability: a heuristic for judging frequency and probability. Cognitive Psychology, 5, 207–232.

    Article  Google Scholar 

  • Verbeke, W., & Ward, R. (2001). A fresh meat almost ideal demand system incorporating negative TV press and advertising impact. Agricultural Economics, 25, 359–374.

    Article  Google Scholar 

  • Viscusi, W., & Zeckhauser, R. (2003). Sacrificing civil liberties to reduce terrorism risks. Journal of Risk and Uncertainty, 26, 99–120.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to David Fielding.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Fielding, D., Shortland, A. Does television terrify tourists? Effects of US television news on demand for tourism in Israel. J Risk Uncertain 38, 245–263 (2009). https://doi.org/10.1007/s11166-009-9067-z

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11166-009-9067-z

Keywords

JEL

Navigation