The Information Content of Conflict, Social Unrest and Policy Uncertainty Measures for Macroeconomic Forecasting

Marina Diakonova, Luis Molina Sánchez, Hannes Mueller, Javier J. Pérez and Christopher Rauh
Authors registered in the RePEc Author Service: Javier J. Pérez

Janeway Institute Working Papers from Faculty of Economics, University of Cambridge

Abstract: It is widely accepted that episodes of social unrest, conflict, political tensions and policy uncertainty affect the economy. Nevertheless, the real-time dimension of such relationships is less studied, and it remains unclear how to incorporate them in a forecasting framework. This can be partly explained by a certain divide between the economic and political science contributions in this area, as well as the traditional lack of availability of timely high-frequency indicators measuring such phenomena. The latter constraint, though, is becoming less of a limiting factor through the production of text-based indicators. In this paper we assemble a dataset of such monthly measures of what we call "institutional instability", for three representative emerging market economies: Brazil, Colombia and Mexico. We then forecast quarterly GDP by adding these new variables to a standard macro-forecasting model using different methods. Our results strongly suggest that capturing institutional instability above a broad set of standard high-frequency indicators is useful when forecasting quarterly GDP. We also analyse relative strengths and weaknesses of the approach.

Keywords: Forecasting; Forecasting GDP; Geopolitical Risk; Natural Language Processing; Policy Uncertainty; Social Conflict; Social Unrest (search for similar items in EconPapers)
JEL-codes: D74 E37 N16 (search for similar items in EconPapers)
Date: 2024-04-05
New Economics Papers: this item is included in nep-big
Note: cr542
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Related works:
Journal Article: The information content of conflict, social unrest and policy uncertainty measures for macroeconomic forecasting (2024)
Working Paper: The Information Content of Conflict, Social Unrest and Policy Uncertainty Measures for Macroeconomic Forecasting (2024)
Working Paper: The information content of conflict, social unrest and policy uncertainty measures for macroeconomic forecasting (2022)
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Persistent link: https://EconPapers.repec.org/RePEc:cam:camjip:2413

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