Record Details

Replication data for: Optimal Monetary Policy Rules in an Estimated Sticky-Information Model

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

View Archive Info
 
 
Field Value
 
Title Replication data for: Optimal Monetary Policy Rules in an Estimated Sticky-Information Model
 
Identifier https://doi.org/10.7910/DVN/CGPZWD
 
Creator Ricardo Reis
 
Publisher Harvard Dataverse
 
Description This study uses a dynamic stochastic general-equilibrium (DSGE) model with sticky information as a laboratory to study monetary policy. It characterizes the model's predictions for macro-dynamics and optimal policy at prior parameters, and then uses data on five U.S. macroeconomic series to update the parameters and provide an estimated model that can be used for policy analysis. The model answers a few policy questions: How does sticky information affect optimal monetary policy? What is the optimal interest-rate rule? What is the optimal elastic price-level targeting rule? How does parameter uncertainty affect optimal policy? Are the conclusions for the Euro-area different?
 
Date 2009