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Oil price assumptions for macroeconomic policy

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  • Degiannakis, Stavros
  • Filis, George

Abstract

We evaluate the economic usefulness of oil price forecasts by means of conditional forecasting of five US macroeconomic indicators. First, we forecast oil prices using a mixed sampling frequency framework, where oil prices are driven by information available at high-frequency; and subsequently we proceed with our macroeconomic conditional forecasts. Overall, there is diminishing importance of oil price forecasts for inflation projections, whereas the reverse holds true for inflation expectations, industrial production and producers price index. An array of arguments is presented as to why this might be the case. Our findings remain robust to alternative forecasting frameworks and model specifications.

Suggested Citation

  • Degiannakis, Stavros & Filis, George, 2023. "Oil price assumptions for macroeconomic policy," Energy Economics, Elsevier, vol. 117(C).
  • Handle: RePEc:eee:eneeco:v:117:y:2023:i:c:s0140988322005540
    DOI: 10.1016/j.eneco.2022.106425
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    More about this item

    Keywords

    Conditional forecasting; Oil price forecasts; MIDAS; Core inflation; Inflation expectations;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E27 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Forecasting and Simulation: Models and Applications
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
    • Q47 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy Forecasting

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