Economic Policy Uncertainty: A Review on Applications and Measurement Methods with Focus on Text Mining Methods

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 studied. These methods measure the realized uncertainty by taking into account the uncertainty represented in the news and publicly available sources of financial information. Finally, we survey the research areas that rely on measuring the EPU index with the hope that studying the impacts of uncertainty would attract further attention of researchers from various research fields. In addition, we propose a list of future research approaches focusing on measuring EPU using textual material.Comment: JEL Classification: C53, C38, A13, O38, H5

Reducing Buffer Space in Multipath Schemes

One major drawback of multipath transferring schemes, which is inspired by the usage of different paths with diverse delays, is the emergence of reordering among packets of a flow. This reordering brings some substantial problems (like larger delay and buffer space) to the transport applications. In this paper, we present a novel UDP-based multipath scheme for in-order delivery to the receiver by scheduling of packets among multiple paths. This method imposes the minimum possible delay and a small buffer space on the receiver’s application. We theoretically prove the optimality of the proposed method. Finally, through simulation experiments, we show that the performance of our multipath method is comparable with the best-case one-path transmission with aggregated bandwidth