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Data · dataset · 2009

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

Listed in Harvard Dataverse

This study uses a dynamic stochastic general-equilibrium (DSGE) model with sticky information as a laboratory to study monetary policy.

Description

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?

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Are the conclusions for the Euro-area different?

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Where it is published

Catalogue records · 1
Provenance · 1 source records, 6 field assertions
SourceKeyLast seenRaw
Harvard Dataversedoi:10.7910/DVN/CGPZWD13 d agoJSON v1
FieldAssertionExtractorEvidence
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descriptionsource · Harvard Dataverseconnector:dataverse@1.0.0/description
publication_datesource · Harvard Dataverseconnector:dataverse@1.0.0
titlesource · Harvard Dataverseconnector:dataverse@1.0.0/name
updated_datesource · Harvard Dataverseconnector:dataverse@1.0.0
version_labelsource · Harvard Dataverseconnector:dataverse@1.0.0