Policymakers Priors and lnflation Density Forecasting

Authors

  • Marco Vega Banco Central de Reserva del Perú

DOI:

https://doi.org/10.21678/apuntes.55.543

Keywords:

Monetary Policy, inflation, lnflation Targeting, Bayesian Methods

Abstract

This paper models an inflation density forecast framework that closely resembles policymakers' actual behavior regarding the determination of the modal point, the uncertainty and asymmetry in inflation forecasts.

The framework combines the prior information about these parameters available to policymakers with a standard parametric density estimation technique using Bayesian theory. The combination crucially hinges on an information-theoretic utility function gain for the policymaker from performing the forecast exercise.

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Published

2004-04-25

How to Cite

Vega, M. (2004). Policymakers Priors and lnflation Density Forecasting. Apuntes. Social Sciences Journal, (55), 43–74. https://doi.org/10.21678/apuntes.55.543

Issue

Section

Articles