Quasi ex-ante inflation forecast uncertainty

Wojciech Charemza, Carlos Díaz () and Svetlana Makarova

International Journal of Forecasting, 2019, vol. 35, issue 3, 994-1007

Abstract: We propose a measure of the effects of monetary policy based on an analysis of the distribution of the ex-post inflation forecast uncertainty. We argue that the difference between the distributions of the ex-ante and ex-post uncertainties reflects the impact of monetary policy decisions. Using the theoretical background of the New Keynesian model with imperfect information and a monetary policy rule, we derive a proxy for ex-ante inflation uncertainty called quasi ex-ante forecast uncertainty, which is free to a certain extent of the effects of monetary policy decisions. Furthermore, we introduce the compound strength measure of monetary policy, as well as the uncertainty ratio, which approximates the impact of monetary policy on the reduction of the inflation forecast uncertainty. Our empirical results show that the greatest policy effect in reducing the inflation forecast uncertainty occurs for countries which conduct either a well-established or a relatively pure inflation targeting policy.

Keywords: Macroeconomic forecasting; Monetary policy; Non-normality; Inflation uncertainty; Statistical distributions; Central banking (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:intfor:v:35:y:2019:i:3:p:994-1007

DOI: 10.1016/j.ijforecast.2019.03.002

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