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Revisiting the Nexus Between Oil Prices and Economic Activity for Asian Economies Using MIDAS

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  • Hyunjoo Kim Karlsson
  • Kristofer MÃ¥nsson

Abstract

The objective of this paper is to re-examine the causal relationship between oil prices and economic activity for five Asian economies. We apply the unrestricted MIDAS (U-MIDAS) model using monthly data for real oil prices and quarterly data for real GDP for the period from 1998Q1 to 2019Q4. The causal nexus between oil prices and economic activity is also studied by means of wavelet analysis to investigate whether the relationship between the variables changes over different time scales. The key empirical results under the MIDAS approach show that there is a clear significant causal link from oil prices to economic activity, which is not as clearly found under the standard VAR approach. In addition, our results using impulse response functions suggest that the five Asian economies respond, in general, positively in economic activity to an oil price shock at shorter time horizons (less than two years), while the positive responses switch to mostly negative ones at longer time horizons (from two to four years). Our results, in general, support that the (theoretically) expected negative causal nexus between oil price fluctuations and economic activity for oil importers is dominant over longer time horizons for our dataset. An exception to this pattern is China, which has a dissimilar country profile in terms of its oil market and production structure from the profiles of the other Asian economies in the study. JEL Classification: C32, E32, O53, Q43

Suggested Citation

  • Hyunjoo Kim Karlsson & Kristofer MÃ¥nsson, 2024. "Revisiting the Nexus Between Oil Prices and Economic Activity for Asian Economies Using MIDAS," The Energy Journal, , vol. 45(4), pages 109-134, July.
  • Handle: RePEc:sae:enejou:v:45:y:2024:i:4:p:109-134
    DOI: 10.1177/01956574241281160
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    References listed on IDEAS

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    Cited by:

    1. Yuxin Shi & Chao Liang & Lu Wang, 2026. "Whether Uncertainty Theory Can Enhance GDP Forecasting From Energy: A New Uncertain MIDAS Model," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 45(3), pages 1158-1176, April.

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    Keywords

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    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
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • O53 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Asia including Middle East
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

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