Hello,
I am working on a basic small-scale DSGE, with borrowers and savers and collateralized borrowing constraints (and no nominal rigidities). Both model-generated data and empirical data are in logged terms and hp-filtered. When I compare moments in the data and model-generated moments, I can see that the model generates much higher volatility of investment (relative to output) than in the data.
Is this something commonly found in basic models ? If so, is there a standard way to deal with it, like introducing investment adjustment costs or something similar ?
Thanks a lot