Abstract:
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Political-policy uncertainty and social unrest affect macroeconomic developments. Having measurable indicators of such type of events may help anticipate economic shocks in real-time. We test such hypothesis for Colombia, Brazil, and Mexico. First, we assemble a database of “traditional” macro-financial monthly indicators and standard political risk variables, and nowcast quarterly GDP for the three countries. The modeling framework is the time series mixed-frequencies MIDAS approach. Next, we incorporate in the models text-based variables: (i) conflict variables; (ii) economic policy uncertainty (EPU) indicators; (iii) Google-trends-based, searches of social-political conflict. We show that policy-political and social unrest indicators are useful to nowcast country-specific macroeconomic variables in the selected Latin American economies.
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