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Activity Number: 345 - Advances in Macroeconomic Nowcasting and Forecasting: Role of Traditional and Nontraditional Indicators and Big Data
Type: Topic-Contributed
Date/Time: Thursday, August 12, 2021 : 10:00 AM to 11:50 AM
Sponsor: Business and Economic Statistics Section
Abstract #317255
Title: Are conflict and uncertainty measures useful for macroeconomic nowcasting? An application for Latin America
Author(s): Javier J. Perez* and Hannes Mueller and Marina Diakonova and Luis Molina and Christopher Rauh
Companies: Bank of Spain and Barcelona GSE and Bank of Spain and Bank of Spain and University of Cambridge
Keywords: uncertainty; forecasting; nowcasting; latin america; political risk; conflict
Abstract:

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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