Optimal Monetary Policy in a Simple Distorted Economy

Marzo, Massimiliano (2004) Optimal Monetary Policy in a Simple Distorted Economy. Bologna: Dipartimento di Scienze economiche DSE, p. 25. DOI 10.6092/unibo/amsacta/4781. In: Quaderni - Working Paper DSE (511). ISSN 2282-6483.
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Abstract

In this paper I search for an optimal configurations of parameters for variants of the Taylor rule by using an Accurate Second-Order Welfare based method within a fully microfounded Dynamic Stochastic model, with price rigidities, without capital accu- mulation. Money is inserted via a transaction cost function, price rigidities are modelled via quadratic cost of price adjustment. A version of the model with distortionary taxation is also explicitly tested. The model is solved up to Second Order solution. Optimal rules are obtained by maximizing a conditional welfare measure, differently from what has been done in the current literature. Optimal monetary policy functions turn out to be characterized by inflation targeting parameter lower than in empirical studies. In general, the optimal values for moentary policy parameters depend from the degree of nominal rigidities and from the role of fiscal policy. When nominal rigidities are higher, optimal monetary policy becomes more aggressive towards inflation. With a tigther fiscal policy, optimal monetary policy turns out to be less inflation-aggressive. Moreover, the results show that relying conditional welfare mea- sure avoids the problems related with first-order or unconditional welfare measures. Impulse Response functions based on second order model solution show a non-a¢ ne pattern when the economy is hit by shocks of different magnitude.

Abstract
Tipologia del documento
Monografia (Working paper)
Autori
AutoreAffiliazioneORCID
Marzo, Massimiliano
Parole chiave
Inflation Targeting, Output Targeting, Welfare, Nominal Rigidities, Distor- tionary Taxation.
Settori scientifico-disciplinari
ISSN
2282-6483
DOI
Data di deposito
09 Mar 2016 15:24
Ultima modifica
09 Mar 2016 15:24
URI

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