Estimating causes of cyber crime: evidence from panel data FGLS estimator

Abstract

This paper explores cyber crime from different perspectives, providing a deeper analysis of the phenomena itself as more sophisticated technical tools have emerged. Making detection of such methods quite difficult for law enforcement authorities around the globe, since the rise of the deep-web has made the prevention of such crimes is difficult if not impossible. However, the main objective of this paper is to examine the effect of unemployment rates and GDP growth per capita on the level of cyber-attacks in 10 countries (USA, Belgium, the Netherlands, Japan, China, Italy, Spain, India, and Canada) during the period of 2005- 2017. In addition, this study seeks to provide insight into what might be the reason behind the fluctuating levels of attacks in these countries. This paper provides different authorities as well as the government with insight into how to take steps forward in preventing and combating these crimes.