Abstract
Conflicting theoretical models and diverse empirical evidence characterize research analysing the relationship between business cycle volatility and economic growth. While the average reported effect of volatility on growth is negative, the empirical estimates vary substantially across studies. We identify the factors that explain this heterogeneity in estimates by conducting a meta-analysis. Our evidence suggests that researchers’ choices regarding the measure of volatility, the control set of the estimated equation, the estimation methods, and the data characteristics can all explain the differences in the reported estimates. Finally, the literature is found to be free of publication bias.
| Original language | English |
|---|---|
| Article number | 0 |
| Pages (from-to) | 874-907 |
| Number of pages | 34 |
| Journal | Oxford Economic Papers |
| Volume | 71 |
| Issue number | 4 |
| Early online date | 5 Dec 2018 |
| DOIs | |
| Publication status | Published - 1 Oct 2019 |
Access to Document
- Volatility-growth_post_print_version
This is a pre-copyedited, author-produced version of an article accepted for publication in Oxford Economic Papers following peer review. The version of record is available online at: Dimitrios Bakas, Georgios Chortareas, Georgios Magkonis; Volatility and growth: a not so straightforward relationship, Oxford Economic Papers, gpy065, https://doi.org/10.1093/oep/gpy065.