Journal Article
No. 2016-27 | November 01, 2016
The Role of Economic Policy Uncertainty in Predicting U.S. Recessions: A Mixed-frequency Markov-switching Vector Autoregressive Approach

Abstract

This paper analyzes the performance of the monthly economic policy uncertainty (EPU) index in predicting recessionary regimes of the (quarterly) U.S. GDP. In this regard, the authors apply a mixed-frequency Markov-switching vector autoregressive (MF-MS-VAR) model, and compare its in-sample and out-of-sample forecasting performances to those of a Markov-switching vector autoregressive model (MS-VAR, where the EPU is averaged over the months to produce quarterly values) and a Markov-switching autoregressive (MS-AR) model. Their results show that the MF-MS-VAR fits the different recession regimes, and provides out-of-sample forecasts of recession probabilities which are more accurate than those derived from the MS-VAR and MS-AR models. The results highlight the importance of using high-frequency values of the EPU, and not averaging them to obtain quarterly values, when forecasting recessionary regimes for the U.S. economy.

Data Set

JEL Classification:

E32, E37, C32

Assessment

  • Downloads: 931 (Discussion Paper: 725)

Links

Cite As

Mehmet Balcilar, Rangan Gupta, and Mawuli Segnon (2016). The Role of Economic Policy Uncertainty in Predicting U.S. Recessions: A Mixed-frequency Markov-switching Vector Autoregressive Approach. Economics: The Open-Access, Open-Assessment E-Journal, 10 (2016-27): 1–20. http://dx.doi.org/10.5018/economics-ejournal.ja.2016-27


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