Inflation dynamics: a traditional perspective

Author:

Malikane Christopher1

Affiliation:

1. Macro-Financial Analysis Group, School of Economics and Finance, Wits Business School, University of the Witwatersrand , Johannesburg, South Africa

Abstract

Abstract We derive a traditional Phillips curve (TPC) under the assumption that a fraction of firms sells output at optimal prices, while the other fraction sells at contract prices. Our derivation delivers a pricing mechanism where inflation depends on expected inflation and the real optimal price, which is the real marginal cost. The parameters of this Phillips curve have a clear structural interpretation in much the same way as its new Keynesian counterpart.. Using a Leontief-type technology, our baseline TPC features expected inflation, the labour share, demand pressure and a vector of supply shocks. We estimate this TPC for five developed and five emerging market economies and find that the degree of price rigidity is significant and correctly signed in most of the economies. We conclude that this TPC is a credible rival to its forward-looking new Keynesian counterpart.

Publisher

Oxford University Press (OUP)

Subject

Economics and Econometrics

Reference38 articles.

1. The new Keynesian Phillips curve and inflation dynamics in Australia;Abbas;Economic Modelling,2011

2. The new Keynesian Phillips curve: An update on recent empirical advances;Abbas;International Review of Economics & Finance,2016

3. Change of regime and Phillips curve stability: the case of Spain, 1964—2002;Bajo-Rubio;Journal of Policy Modeling,2007

4. The new Keynesian economics and the output-inflation trade-off;Ball;Brookings Papers on Economic Activity,1988

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