Volume 2, Issue 3 September 2006

A Bayesian DSGE Model with Infinite-Horizon Learning: Do "Mechanical" Sources of Persistence Become Superfluous?

Abstract

This paper estimates a monetary DSGE model with learning introduced from the primitive assumptions. The model nests infinite-horizon learning and features, such as habit formation in consumption and inflation indexation, that are essential for the model fit under rational expectations. I estimate the DSGE model by Bayesian methods, obtaining estimates of the main learning parameter, the constant gain, jointly with the deep parameters of the economy. The results show that relaxing the assumption of rational expectations in favor of learning may render mechanical sources of persistence superfluous. In particular, learning appears to be a crucial determinant of inflation inertia.

Authors

  • Fabio Milani

JEL codes

  • C11
  • D84
  • E30
  • E50
  • E52

Other papers in this issue

Silvia Fabiani and Martine Druant and Ignacio Hernando and Claudia Kwapil and Bettina Landau and Claire Loupias and Fernando Martins and Thomas Mathä and Roberto Sabbatini and Harald Stahl and Ad Stokman

Gregory de Walque and Frank Smets and Rafael Wouters