Abstract
Using a novel approach to model regime switching with dynamic feedback and interactions, we extract latent mean and volatility factors in oil price changes. We illustrate how the volatility factor constitutes a useful measure of oil market risk (or oil price uncertainty) for policy makers and analysts as it captures uncertainty not reflected in other economic/financial uncertainty measures. Then, in the context of a VAR, we investigate the role of oil price uncertainty in driving inflation expectations and inflation anchoring. We show that shocks to the mean factor lead to higher expected inflation and inflation disagreement among professional forecasters and households. In contrast, shocks to the volatility factor act as aggregate demand shocks in that they result in lower expected inflation, yet they do increase disagreement about future inflation among professional forecasters and, especially, among households. We also provide econometric evidence suggesting the proposed endogenous volatility switching model can outperform other regime switching models.
| Original language | English |
|---|---|
| Pages (from-to) | 820-839 |
| Number of pages | 20 |
| Journal | Journal of Applied Econometrics |
| Volume | 38 |
| Issue number | 6 |
| DOIs | |
| State | Published - Sep 1 2023 |
Bibliographical note
Publisher Copyright:© 2023 John Wiley & Sons, Ltd.
Funding
We are grateful to two anonymous referees, the Associate Editor, and participants in the 2019 Workshop on Energy Economics and the 2019 Midwest Econometrics Group meetings for very useful comments. Our special thanks go to Sangmyung Ha and Diego Rojas Baez for their superb research assistance and to Joon Y. Park and Shi Qiu for many helpful discussions.
| Funders |
|---|
| Sangmyung University |
Keywords
- endogenous regime switching
- expected inflation
- inflation anchoring
- oil price volatility
ASJC Scopus subject areas
- Social Sciences (miscellaneous)
- Economics and Econometrics
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