In this study we introduce and apply a set of machine learning and artificial intelligence techniques to analyze multi-dimensional fragility-related data. Our analysis of the fragility data collected by the OECD for its States of Fragility index showed that the use of such techniques could...

This study attempts to demonstrate how a government launched an economic structural reform plan that previous governments, fearing a serious social backlash, had been unable to implement over the course of 30 years. The findings show that the Iranian government used “illusion therapy”, a...

<p>Through a privatisation scheme called the "Justice Shares Plan," the Iranian government has privatised many state-owned companies via dividing and distributing shares among low-income families. This study explains and evaluates the government’s plan from different aspects. The findings...</p>

Political economy analysis deals, basically, with modeling and interpreting the dynamics of a multi-agent economic/political sphere. This paper proposes a new technique for analysis of political economy in a game-theoretical framework based on multi-criteria decision making methods (MCDMs). To...

The application of Deep Reinforcement Learning (DRL) in economics has been an area of active research in recent years. A number of recent works have shown how deep reinforcement learning can be used to study a variety of economic problems, including optimal policy-making, game theory, and...