This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Estimating the Interest Rate Rule with Open Market Operations or Lump-Sum Transfers of Money

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Filippo Ochinno
John Landon-Lane

Additional information is available for the following registered author(s):

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

Download Info
To our knowledge, this item is not available for download. To find whether it is available, there are three options:
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.

Publisher Info
Paper provided by Society for Computational Economics in its series Computing in Economics and Finance 2005 with number 219.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Length:
Date of creation: 11 Nov 2005
Date of revision:
Handle: RePEc:sce:scecf5:219

Contact details of provider:
Email:
Web page: http://comp-econ.org/
More information through EDIRC

For technical questions regarding this item, or to correct its listing, contact: (Christopher F. Baum).

Related research
Keywords: segmented markets; Bayesian model estimation and comparison; Monetary Policy Shocks;

Find related papers by JEL classification:
C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Bayesian Analysis
C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation and Testing
E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

Statistics
Access and download statistics

Did you know? About 2700 working paper series are listed on RePEc.

This page was last updated on 2009-10-31.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.