Optimal Rules for Monetary Policy in Brazil
Joaquim Andrade and
Jose Angelo Divino
No 101, Discussion Papers from Instituto de Pesquisa Econômica Aplicada - IPEA
Abstract:
This paper presents optimal rules for monetary policy in Brazil derived from a backward looking expectation model consisting of a Keynesian IS function and an Augmented Phillips Curve (IS-AS). The IS function displays a high sensitivity of aggregate demand to the real interest rate and the Phillips Curve is accelerationist. The optimal monetary rules show low interest rate volatility with reaction coefficients lower than the ones suggested by Taylor (1993a,b). Reaction functions estimated through ADL and SUR models suggest that monetary policy has not been optimal and has aimed to product rather than inflation stabilization. Este trabalho apresenta regras ótimas de política monetária no Brasil derivadas de um modelo que consiste de uma função keinesiana IS e uma Curva de Phillips Aumentada (IS-AS) e com expectativas voltadas para trás. A função IS revela alta sensibilidade da demanda agregada à taxa de juros e a Curva de Phillips é aceleracionista. A regra ótima de política monetária mostra reduzida volatilidade da taxa de juros com coeficientes de reação menores do que os sugeridos por Taylor (1993a e b). Funções de reação estimadas através de modelos ADL e SUR sugerem que a política monetária não tem sido ótima e tem buscado estabilizar o produto em lugar da inflação.
Pages: 35 pages
Date: 2015-01
New Economics Papers: this item is included in nep-cba and nep-mon
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)
Downloads: (external link)
http://www.ipea.gov.br/portal/images/stories/PDFs/TDs/ingles/dp_101.pdf (application/pdf)
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:ipe:ipetds:0101
Access Statistics for this paper
More papers in Discussion Papers from Instituto de Pesquisa Econômica Aplicada - IPEA Contact information at EDIRC.
Bibliographic data for series maintained by Fabio Schiavinatto ().