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.
| Original language | English |
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| Pages (from-to) | 101-134 |
| Number of pages | 34 |
| Journal | Energy Journal |
| Volume | 35 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - Sept 2014 |