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Is There Really Granger Causality between Energy Use and Output?

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  • Stephan B. Bruns
  • Christian Gross
  • David I. Stern

Abstract

We carry out a meta-analysis of the very large literature on testing for Granger causality between energy use and economic output to determine if there is a genuine effect in this literature or whether the large number of apparently significant results is due to publication or misspecification bias. Our model extends the standard meta-regression model for detecting genuine effects in the presence of publication biases using the statistical power trace by controlling for the tendency to over-fit vector autoregression models in small samples. Granger causality tests in these over-fitted models have inflated type I errors. We cannot find a genuine causal effect in the literature as a whole. However, there is a robust genuine effect from output to energy use when energy prices are controlled for.

Suggested Citation

  • Stephan B. Bruns & Christian Gross & David I. Stern, 2014. "Is There Really Granger Causality between Energy Use and Output?," The Energy Journal, , vol. 35(4), pages 101-134, October.
    • Handle: RePEc:sae:enejou:v:35:y:2014:i:4:p:101-134
    DOI: 10.5547/01956574.35.4.5
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    Keywords

    Meta-analysis; Granger causality; Energy; Economic growth;
    All these keywords.

    JEL classification:

    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
    • 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
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection

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