{"title":"The Connection between the Risk of Terrorism and Its Economic and Political Determinants, Analysis, and Application for Forecasting","authors":"Martin Tejkal, J. Odehnal, J. Michálek","doi":"10.1080/17419166.2022.2097075","DOIUrl":null,"url":null,"abstract":"ABSTRACT The paper is focused on studying the relationship between the risk of terrorism and economic and political development of 13 European countries, quantified using a set of socio-economic and political indicator variables. Numbers of terrorist attacks are used as a terrorist activity indicator. A method of categorization of the numbers of terrorist attacks into a level of risk of terrorism index is presented. Proportional odds multinomial logit generalized linear model is used to describe the connection between the level of risk and the socio-economic and political indicator variables. The presented findings imply that the connection is significant for 9 out of the 13 studied countries. Furthermore, a possible application of the model for obtaining short time predictions of the probability of the levels of risk is presented using a real data set.","PeriodicalId":375529,"journal":{"name":"Democracy and Security","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Democracy and Security","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/17419166.2022.2097075","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
ABSTRACT The paper is focused on studying the relationship between the risk of terrorism and economic and political development of 13 European countries, quantified using a set of socio-economic and political indicator variables. Numbers of terrorist attacks are used as a terrorist activity indicator. A method of categorization of the numbers of terrorist attacks into a level of risk of terrorism index is presented. Proportional odds multinomial logit generalized linear model is used to describe the connection between the level of risk and the socio-economic and political indicator variables. The presented findings imply that the connection is significant for 9 out of the 13 studied countries. Furthermore, a possible application of the model for obtaining short time predictions of the probability of the levels of risk is presented using a real data set.