Arbeitspapier

Optimal policy under model uncertainty: a structural-bayesian estimation approach

In this paper we propose a novel methodology to analyze optimal policies under model uncertainty in micro-founded macroeconomic models. As an application we assess the relevant sources of uncertainty for the optimal conduct of monetary policy within (parameter uncertainty) and across models (specification uncertainty) using EU 13 data. Parameter uncertainty matters only if the zero bound on interest rates is explicitly taken into account. In any case, optimal monetary policy is highly sensitive with respect to specification uncertainty implying substantial welfare gains of a robust-optimal rule that incorporates this risk.

Language
Englisch

Bibliographic citation
Series: SFB 649 Discussion Paper ; No. 2007,040

Classification
Wirtschaft
Business Fluctuations; Cycles
Model Construction and Estimation
Monetary Policy
Subject
Optimal monetary policy
model uncertainty
Bayesian model estimation
Geldpolitik
Wohlfahrtseffekt
Ökonometrisches Makromodell
Modell-Spezifikation
Risiko
Ungleichgewichtstheorie
Theorie
EU-Staaten

Event
Geistige Schöpfung
(who)
Kriwoluzky, Alexander
Stoltenberg, Christian
Event
Veröffentlichung
(who)
Humboldt University of Berlin, Collaborative Research Center 649 - Economic Risk
(where)
Berlin
(when)
2007

Handle
Last update
10.03.2025, 11:44 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Kriwoluzky, Alexander
  • Stoltenberg, Christian
  • Humboldt University of Berlin, Collaborative Research Center 649 - Economic Risk

Time of origin

  • 2007

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