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Impact of crude prices shock on GDP growth: using a linear, nonlinear and extreme value framework

Author

Listed:
  • Soumya Bhadury
  • Satadru Das
  • Saurabh Ghosh
  • Pawan Gopalakrishnan

Abstract

Purpose - Rising crude oil prices are likely to have an asymmetric and nonlinear negative impact on GDP growth. The purpose of this paper is to ask the following questions: Does the effect of a crude price shock depend on the position of crude price cycle, i.e. is the effect of price shock larger/smaller in periods of already elevated crude price? And, does the effect of crude price shock depend on the position of the economy in the business cycle, i.e. does the crude price shock affect growth differentially in periods of low/high growth? Design/methodology/approach - The authors use a local linear projection (LLP) model to examine the asymmetric impact of crude price on GDP growth in an environment of high crude price. Next, a quantile regression model is used to account for differential impact on growth around high and low growth periods. Findings - Results from the LLP model show that when oil price is above $70, each additional percentage point of increase in oil price results in a 20 basis point (bps) drop in quarterly GDP growth rate on average. The impact is felt between the third and sixth quarters. When oil prices rise above $80, the impact is similar, with a sharper drop in growth (30 bps). The exercise with quantile regression shows that the impact of an increase in crude prices on growth is almost double at lowest quantiles of growth compared with the median. Originality/value - There is a growing literature that evaluates the impact of oil price in developing economies. However, nonlinearities in crude price-GDP growth dynamics have not received enough attention, especially during phases of elevated crude price or a growth downcycle. The authors believe that accounting for such effects is especially relevant in the present economic scenario of high oil prices because of geopolitical crises and a period of vulnerable growth because of supply chain issues arising out of the pandemic. Using recent data from oil-importing emerging market economies such as India, this paper fills a crucial gap in the literature.

Suggested Citation

  • Soumya Bhadury & Satadru Das & Saurabh Ghosh & Pawan Gopalakrishnan, 2023. "Impact of crude prices shock on GDP growth: using a linear, nonlinear and extreme value framework," Indian Growth and Development Review, Emerald Group Publishing Limited, vol. 16(1), pages 91-103, March.
  • Handle: RePEc:eme:igdrpp:igdr-05-2022-0065
    DOI: 10.1108/IGDR-05-2022-0065
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    More about this item

    Keywords

    LLP; Quantile regressions; VAR; Crude prices growth nonlinearities; C32; C51; C53; E32;
    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
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • 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

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