Series: Occasional Papers. 2426.
Author: Marina Diakonova, Corinna Ghirelli and Juan Quiñónez.
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Abstract
The advent of Big Data and computational tools has transformed macroeconomic analysis, introducing real-time, high-frequency text-based indicators such as the economic policy uncertainty (EPU) index pioneered by Baker et al. (2016). However, constructing the EPU index for developing economies remains a challenge, mostly due to limited press coverage. Our study focuses on the Central American region, comprising Costa Rica, El Salvador, Guatemala, Honduras, Nicaragua, Panama and the Dominican Republic (CAPADR). We construct country-specific EPU indices using a combination of local and regional sources and validate them using the narrative approach in order to ensure variation accurately reflects relevant economic policy events. We offer further empirical validation by computing impulse response functions for key macroeconomic variables, at both country and representative country level. We show that EPU shocks lead to a decline in economic activity, foreign direct investment (FDI) and tourism levels. Our findings underline the importance of EPU monitoring in Central America and offer a solution through our indices.