Peer Effects in Central Banking

We provide a new explanation for why central banks have become transparent over the last three decades. We apply recently developed social interaction panel regression models for the observational data, which allow the identification of peer effects. The identification is based on variations in the...

Full description

Saved in:
Bibliographic Details
Published in:IMF economic review 2020-12, Vol.68 (4), p.764-814
Main Author: Horvath, Roman
Format: Article
Language:English
Subjects:
Analysis
Banking
Banking industry
Capital Markets
Central banks
Disclosure of information
Econometrics
Economic Policy
Economics
Economics and Finance
Foreign exchange rates
Global environment
Identification
International Economics
Macroeconomics
Macroeconomics/Monetary Economics//Financial Economics
Monetary policy
Panel data
Peers
RESEARCH ARTICLE
Social interaction
Social service
Society
Surveys
Transparency
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!