The literature on determinants of International Monetary Fund (IMF) interventions in emerging and developing countries shows that the IMF's decisions are determined by political and economic causes. This article empirically investigates economic factors, showing that a country's probability to sign an IMF arrangement can be predicted by looking at a core group of macroeconomic variables. Using discriminant analysis we develop a score function that allows us to predict a country's future participation in IMF programmes. The study covers 153 emerging and developing countries, over more than 30 years and 654 agreements, for both non-concessional and concessional loans. The proposed tools are simple, consistent and relevant and they can be used both to monitor an IMF country and its economic development in real time and to forecast future demand for IMF aid.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.