We adopt the Jackknife Model Averaging (JMA) technique to conduct a meta-regression analysis of 925 renminbi (RMB) misalignment estimates generated by 69 studies. The JMA method accounts for model selection and sampling uncertainties, and allows for non-nested model specifications and...

Against the backdrop of elevated model uncertainty in DSGE models with a detailed modeling of financial intermediaries, we investigate the performance of optimized macroprudential policy rules within and across models. Using three canonical banking DSGE models as a representative sample, we show...