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Macroeconomic Effects of Terrorist Shocks in Israel

Author

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  • Denis Larocque
  • Geneviève Lincourt
  • Michel Normandin

Abstract

This paper estimates a structural vector autoregression model to assess the dynamic effects of terrorism on output and prices in Israel over the post-1985 period. Long-run restrictions are used to obtain an interpretation of the effects of terrorism in terms of aggregate demand and supply curves. The empirical responses of output and prices suggest that the immediate effects of terrorism are similar to those associated with a negative demand shock. Such leftward shift of the aggregate demand curve is consistent with the adverse effects of terrorism on most components of aggregate expenditure, which have been documented in previous studies. In contrast, the long-term consequences of terrorism are similar to those related to a negative supply shock. Such leftward shift of the long-run aggregate supply curve suggests the potential existence of adverse effects of terrorism on the determinants of potential output, which have not been considered so far.

Suggested Citation

  • Denis Larocque & Geneviève Lincourt & Michel Normandin, 2008. "Macroeconomic Effects of Terrorist Shocks in Israel," Cahiers de recherche 0820, CIRPEE.
    • Handle: RePEc:lvl:lacicr:0820
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    References listed on IDEAS

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    Cited by:

    1. Benchimol, Jonathan & El-Shagi, Makram, 2020. "Forecast performance in times of terrorism," Economic Modelling, Elsevier, vol. 91(C), pages 386-402.
    2. Kiendrebeogo,Youssouf & Ianchovichina,Elena & Kiendrebeogo,Youssouf & Ianchovichina,Elena, 2016. "Who supports violent extremism in developing countries ? analysis of attitudes based on value surveys," Policy Research Working Paper Series 7691, The World Bank.
    3. Imlak Shaikh, 2019. "Behaviors of Stocks and Fear Index from Terrorist Attacks: Empirical Evidence from SENSEX and NVIX," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 18(2), pages 195-219, September.
    4. Yeeles, Adam & Akporiaye, Alero, 2016. "Risk and resilience in the Nigerian oil sector: The economic effects of pipeline sabotage and theft," Energy Policy, Elsevier, vol. 88(C), pages 187-196.
    5. Kollias, Christos & Manou, Efthalia & Papadamou, Stephanos & Stagiannis, Apostolos, 2011. "Stock markets and terrorist attacks: Comparative evidence from a large and a small capitalization market," European Journal of Political Economy, Elsevier, vol. 27(S1), pages 64-77.
    6. Daniel G. Arce, 2019. "On the human consequences of terrorism," Public Choice, Springer, vol. 178(3), pages 371-396, March.

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    More about this item

    Keywords

    Goods market; output; price; and terrorist indices; structural vector autoregressions; long-run identifying restrictions; dynamic responses and variance decompositions;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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