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Are the macroeconomic effects of oil price shock symmetric?: A Factor-Augmented Vector Autoregressive approach

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  • An, Lian
  • Jin, Xiaoze
  • Ren, Xiaomei

Abstract

This paper aims to examine the asymmetric effect of oil price shocks on real economic activity in the U.S. within the context of a nonlinear Factor-Augmented Vector Autoregressive (FAVAR) model. By employing simulation methods, we trace the effects of positive and negative oil price shocks on the macroeconomic variables through the Impulse Response Function (IRF). It is found that the negative impacts of higher oil prices are larger than the positive effects of lower oil prices. And the asymmetric effects are more evident when the oil price shocks are larger. The results are robust to different lag specification and choice of factors.

Suggested Citation

  • An, Lian & Jin, Xiaoze & Ren, Xiaomei, 2014. "Are the macroeconomic effects of oil price shock symmetric?: A Factor-Augmented Vector Autoregressive approach," Energy Economics, Elsevier, vol. 45(C), pages 217-228.
    • Handle: RePEc:eee:eneeco:v:45:y:2014:i:c:p:217-228
    DOI: 10.1016/j.eneco.2014.06.003
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    More about this item

    Keywords

    Asymmetry; Oil fluctuation; Factor Augmented Vector Autoregression; Real economic activity;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

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