Optimized Taylor rules for disinflation when agents are learning

A-Tier
Journal: Journal of Monetary Economics
Year: 2015
Volume: 72
Issue: C
Pages: 131-147

Authors (3)

Cogley, Timothy (not in RePEc) Matthes, Christian (University of Notre Dame) Sbordone, Argia M. (not in RePEc)

Score contribution per author:

1.341 = (α=2.01 / 3 authors) × 2.0x A-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

When private agents learn a new policy rule, an optimal simple Taylor rule for disinflation differs substantially from that under full information. The central bank can reduce target inflation without much difficulty, but adjusting reaction coefficients on lagged inflation and output is more costly. Temporarily explosive dynamics emerge when there is substantial disagreement between perceived and actual feedback parameters, making the transition highly volatile. The bank copes by choosing reaction coefficients close to the private sector׳s prior mode, thereby sacrificing long-term performance in exchange for achieving lower transitional volatility.

Technical Details

RePEc Handle
repec:eee:moneco:v:72:y:2015:i:c:p:131-147
Journal Field
Macro
Author Count
3
Added to Database
2026-01-25