Estimating the Interest Rate Rule with Open Market Operations or Lump-Sum Transfers of Money
Filippo Ochinno and
John Landon-Lane ()
No 219, Computing in Economics and Finance 2005 from Society for Computational Economics
Abstract:
It is common in DSGE models that aim to explain the impact of monetary policy on economic variables to identify prices by assuming lump-sum transfers of money. The consequence of this is that the interest rule in these models must be of the Taylor-rule type. In this paper we explore the consequences of using other, equally justifiable, monetary policy rules. In particular we show that the estimation of the interest rate rule crucially depends on whether monetary policy in a dynamic stochastic general equilibrium (DSGE) model is assumed to be implemented through open market operations or lump-sum transfers of money. To this end we estimate a segmented markets model where households and firms are subject to cash-in-advance constraints. In the model, Ricardian equivalence holds, so there is a one-to-one correspondence between equilibria where monetary policy is conducted in either way. However, while the equilibrium with open market operations is determinate for a large class of interest rate rules, the equilibrium with lump-sum transfers of money is determinate only if the interest rate rule is of the Taylor type, i.e. the coefficient of inflation is higher than one. As a result, the model estimation yields very different results in terms of likelihood, coefficients of the interest rate rule, and impulse responses to monetary policy shocks
Keywords: segmented markets; Bayesian model estimation and comparison; Monetary Policy Shocks (search for similar items in EconPapers)
JEL-codes: C11 C52 E52 (search for similar items in EconPapers)
Date: 2005-11-11
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:sce:scecf5:219
Access Statistics for this paper
More papers in Computing in Economics and Finance 2005 from Society for Computational Economics Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F. Baum ().