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  • The analysis of the impact of terrorism on the development of countries represents a significant area of theoretical and empirical research of the state’s defence economy. The paper presents the performance of a classification trees to classify 140 countries on the basis of the relation between the institutional environment in the analysed countries and terrorism risk. To assess the institutional characteristics of the selected countries, authors have used data from the Governance Matters characterizing the institutional environment by means of 6 variables (Voice and Accountability (VA), Political Stability and Violence (PSNV), Government Effectiveness (GE), Regulatory Quality (RQ), Rule of Law (RL) and Control of Corruption (CC). To assess the level of terrorism risk in the countries subject to the analysis in 2012, authors have used the Terrorism Risk Index data and Global Peace Index data. By comparing the original classification made on the basis of terrorism risk measured by means of the Terrorism Risk Index with the results of an alternative classifications created by means of data characterizing the institutional environment and by the classification creation by Global Peace index, deviations of the classifications will be calculated, analysed and described with respect to terrorist attacks actually carried out in 2012. Multivariate statistical methods (classification trees and generalized linear models) are used throughout the contribution.
  • The analysis of the impact of terrorism on the development of countries represents a significant area of theoretical and empirical research of the state’s defence economy. The paper presents the performance of a classification trees to classify 140 countries on the basis of the relation between the institutional environment in the analysed countries and terrorism risk. To assess the institutional characteristics of the selected countries, authors have used data from the Governance Matters characterizing the institutional environment by means of 6 variables (Voice and Accountability (VA), Political Stability and Violence (PSNV), Government Effectiveness (GE), Regulatory Quality (RQ), Rule of Law (RL) and Control of Corruption (CC). To assess the level of terrorism risk in the countries subject to the analysis in 2012, authors have used the Terrorism Risk Index data and Global Peace Index data. By comparing the original classification made on the basis of terrorism risk measured by means of the Terrorism Risk Index with the results of an alternative classifications created by means of data characterizing the institutional environment and by the classification creation by Global Peace index, deviations of the classifications will be calculated, analysed and described with respect to terrorist attacks actually carried out in 2012. Multivariate statistical methods (classification trees and generalized linear models) are used throughout the contribution. (en)
Title
  • Risk of Terrorist Attacks by Multidimensional Statistical Analysis
  • Risk of Terrorist Attacks by Multidimensional Statistical Analysis (en)
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  • Risk of Terrorist Attacks by Multidimensional Statistical Analysis
  • Risk of Terrorist Attacks by Multidimensional Statistical Analysis (en)
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  • RIV/60162694:G42__/14:00525846!RIV15-MO0-G42_____
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  • RIV/60162694:G42__/14:00525846
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  • terrorism risk; institutional environment; multivariate statistical methods (en)
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  • [202E3B1D2759]
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  • Michálek, Jaroslav
  • Odehnal, Jakub
  • Sedlačík, Marek
http://localhost/t...ganizacniJednotka
  • G42
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