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Common Drivers Of Transnational Terrorism: Principal Component Analysis

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  • GAIBULLOEV KHUSRAV
  • SANDLER TODD
  • SUL DONGGYU

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  • Gaibulloev Khusrav & Sandler Todd & Sul Donggyu, 2013. "Common Drivers Of Transnational Terrorism: Principal Component Analysis," Economic Inquiry, Western Economic Association International, vol. 51(1), pages 707-721, January.
    • Handle: RePEc:bla:ecinqu:v:51:y:2013:i:1:p:707-721
    DOI: j.1465-7295.2012.00469.x
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    Citations

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    Cited by:

    1. Maclean, Johanna Catherine & Popovici, Ioana & French, Michael T., 2016. "Are natural disasters in early childhood associated with mental health and substance use disorders as an adult?," Social Science & Medicine, Elsevier, vol. 151(C), pages 78-91.
    2. Khusrav Gaibulloev & Todd Sandler & Donggyu Sul, "undated". "Reevaluating Terrorism and Economic Growth: Dynamic Panel Analysis and Cross-Sectional Dependence," Economics Working Papers 02-03/2013, School of Business Administration, American University of Sharjah.
    3. Serhan Cevik & John Ricco, 2020. "Shock and awe? Fiscal consequences of terrorism," Empirical Economics, Springer, vol. 58(2), pages 723-748, February.
    4. Eduardo A. Souza-Rodrigues, 2016. "Nonparametric Regression with Common Shocks," Econometrics, MDPI, vol. 4(3), pages 1-17, September.
    5. George Kapetanios & M. Hashem Pesaran & Simon Reese, 2018. "A Residual-based Threshold Method for Detection of Units that are Too Big to Fail in Large Factor Models," CESifo Working Paper Series 7401, CESifo.
    6. Georges Harb, 2019. "The impact of terrorism on inbound tourism: disentangling the cross-spatial correlation," Economics Bulletin, AccessEcon, vol. 39(1), pages 686-700.
    7. Kapetanios, G. & Pesaran, M.H. & Reese, S., 2021. "Detection of units with pervasive effects in large panel data models," Journal of Econometrics, Elsevier, vol. 221(2), pages 510-541.

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