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Canadian industry level production and energy prices

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  • Elder, John

Abstract

Energy price volatility has a negative effect on economic activity in the United States, Canada and other countries. In this paper, we use disaggregated production data to examine which Canadian industries are most strongly affected by energy price volatility. We also generalize a heteroskedastic vector autoregression with a multivariate t distribution to account for excess kurtosis in conditional energy returns. We find that Canadian industries related to mining and extraction, manufacturing and transportation are most strongly affected by energy volatility; and that accounting for the excess kurtosis significantly improves the fit of the empirical model. We include several tests of robustness, including measures of energy volatility that incorporate stochastic volatility and asymmetries in the variance process. Our results suggest that uncertainty about energy prices reflects both macroeconomic uncertainty and uncertainty about energy markets.

Suggested Citation

  • Elder, John, 2021. "Canadian industry level production and energy prices," Energy Economics, Elsevier, vol. 99(C).
  • Handle: RePEc:eee:eneeco:v:99:y:2021:i:c:s0140988321001857
    DOI: 10.1016/j.eneco.2021.105280
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    More about this item

    Keywords

    Oil volatility; Energy volatility; Heteroskedasticity; Excess kurtosis;
    All these keywords.

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • Q32 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - Exhaustible Resources and Economic Development
    • 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

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