We introduce behavioral learning equilibria (BLE) into DSGE models with boundedly rational agents using simple but optimal first order autoregressive forecasting rules. The Smets-Wouters DSGE model with BLE is estimated and fits well with inflation survey expectations. As a policy application, we show that learning requires a lower degree of interest rate smoothing.
How should a central bank conduct quantitative easing (QE) in a monetary union when regions differ in their size and portfolio characteristics? Optimal QE policy suggests allocating greater purchases from the region that faces stronger portfolio frictions, and not necessarily according to each region’s size.
