Economic Policy Uncertainty: A Review on Applications and Measurement Methods with Focus on Text Mining Methods
Fatemeh Kaveh-Yazdy, Sajjad Zarifzadeh

TL;DR
This paper reviews methods for measuring Economic Policy Uncertainty (EPU), emphasizing text mining techniques that analyze news and financial sources, and discusses future research directions in this field.
Contribution
It provides a comprehensive survey of EPU measurement methods, categorizes them based on input data, and highlights the prominence of text mining approaches in capturing uncertainty.
Findings
Text mining methods dominate EPU measurement.
EPU influences economic indicators like investments and unemployment.
The paper proposes future research directions in textual EPU measurement.
Abstract
Economic Policy Uncertainty (EPU) represents the uncertainty realized by the investors during economic policy alterations. EPU is a critical indicator in economic studies to predict future investments, the unemployment rate, and recessions. EPU values can be estimated based on financial parameters directly or implied uncertainty indirectly using the text mining methods. Although EPU is a well-studied topic within the economy, the methods utilized to measure it are understudied. In this article, we define the EPU briefly and review the methods used to measure the EPU, and survey the areas influenced by the changes in EPU level. We divide the EPU measurement methods into three major groups with respect to their input data. Examples of each group of methods are enlisted, and the pros and cons of the groups are discussed. Among the EPU measures, text mining-based ones are dominantly…
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Taxonomy
TopicsMarket Dynamics and Volatility · Stock Market Forecasting Methods · Energy, Environment, Economic Growth
