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The Cycle Of Violence In The Second Intifada: Causality In Nonlinear Vector Autogressive Models

Author

Listed:
  • Muhammad Asali

    (International School of Economics at Tbilisi State University, and IZA, Bonn)

  • Aamer S. Abu-Qarn

    (BGU)

  • Michael Beenstock

    (Hebrew University of Jerusalem)

Abstract

We contest Jaeger and Paserman's claim (Jaeger and Paserman , 2008. The cycle of violence? An empirical analysis of fatalities in the Palestinian–Israeli conflict. American Economic Review 98 (4): 1591–1604) that Palestinians did not react to Israeli aggression during Intifada 2. We address the differences between the two sides in terms of the timing and intensity of violence, estimate nonlinear vector autoregression models that are suitable when the linear vector autoregression innovations are not normally distributed, identify causal effects rather than Granger causality using the principle of weak exogeneity, and introduce the “kill‐ratio” as a concept for testing hypotheses about the cycle of violence. The Israelis killed 1.28 Palestinians for every killed Israeli, whereas the Palestinians killed only 0.09 Israelis for every killed Palestinian.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Muhammad Asali & Aamer S. Abu-Qarn & Michael Beenstock, 2016. "The Cycle Of Violence In The Second Intifada: Causality In Nonlinear Vector Autogressive Models," Working Papers 1608, Ben-Gurion University of the Negev, Department of Economics.
    • Handle: RePEc:bgu:wpaper:1608
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    References listed on IDEAS

    as
    1. Joan Esteban & Laura Mayoral & Debraj Ray, 2012. "Ethnicity and Conflict: An Empirical Study," American Economic Review, American Economic Association, vol. 102(4), pages 1310-1342, June.
    2. David A. Jaeger & M. Daniele Paserman, 2008. "The Cycle of Violence? An Empirical Analysis of Fatalities in the Palestinian-Israeli Conflict," American Economic Review, American Economic Association, vol. 98(4), pages 1591-1604, September.
    3. Timothy Besley & Torsten Persson, 2009. "Repression or Civil War?," American Economic Review, American Economic Association, vol. 99(2), pages 292-297, May.
    4. J. M. C. Santos Silva, 2001. "A score test for non-nested hypotheses with applications to discrete data models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(5), pages 577-597.
    5. Harris, Mark N. & Zhao, Xueyan, 2007. "A zero-inflated ordered probit model, with an application to modelling tobacco consumption," Journal of Econometrics, Elsevier, vol. 141(2), pages 1073-1099, December.
    6. Hendry, David F., 1995. "Dynamic Econometrics," OUP Catalogue, Oxford University Press, number 9780198283164.
    7. Davidson, Russell, 2009. "Econometric Theory and Methods: International Edition," OUP Catalogue, Oxford University Press, number 9780195391053.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Asali, Muhammad & Pignatti, Norberto & Skhirtladze, Sophiko, 2018. "Employment discrimination in a former Soviet Union Republic: Evidence from a field experiment," Journal of Comparative Economics, Elsevier, vol. 46(4), pages 1294-1309.
    2. Christophe Muller & Pierre Pecher, 2021. "Terrorism, Insurgency, State Repression, and Cycles of Violence," Working Papers halshs-03134347, HAL.
    3. Kuokštis, Vytautas & Asali, Muhammad & Spurga, Simonas Algirdas, 2022. "Labor market flexibility and exchange rate regimes," European Journal of Political Economy, Elsevier, vol. 75(C).
    4. Asali, Muhammad & Abu-Qarn, Aamer & Beenstock, Michael, 2024. "Violence and cooperation in geopolitical conflicts: Evidence from the Second Intifada," Journal of Economic Behavior & Organization, Elsevier, vol. 217(C), pages 261-286.
    5. Muhammad Asali & Rusudan Gurashvili, 2020. "Labour market discrimination and the macroeconomy," Economics of Transition and Institutional Change, John Wiley & Sons, vol. 28(3), pages 515-533, July.
    6. Sarkodie, Samuel Asumadu & Ahmed, Maruf Yakubu & Leirvik, Thomas, 2022. "Trade volume affects bitcoin energy consumption and carbon footprint," Finance Research Letters, Elsevier, vol. 48(C).
    7. Muhammad Asali, 2019. "vgets: A program to estimate general-to-specific VARs, Granger causality, steady-state effects, and cumulative impulse responses," Working Papers 007-19, International School of Economics at TSU, Tbilisi, Republic of Georgia.
    8. Muhammad Asali, 2021. "Gender and ethnic wage differentials inhibit growth: A shred of evidence," Working Papers 002-21, International School of Economics at TSU, Tbilisi, Republic of Georgia.

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    More about this item

    Keywords

    The Israeli-Palestinian Conflict; tit-for-tat; nonlinear VARs;
    All these keywords.

    JEL classification:

    • D74 - Microeconomics - - Analysis of Collective Decision-Making - - - Conflict; Conflict Resolution; Alliances; Revolutions
    • H56 - Public Economics - - National Government Expenditures and Related Policies - - - National Security and War

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