A BVAR Forecasting Model for Peruvian Inflation

We build a simple non-structural BVAR forecasting framework to predict key Peruvian macroeconomic data. We build our Litterman prior specification based on the fact that the structure driving the dynamics of the economy might have shifted towards a state where a clear nominal anchor has become well grounded (Inflation Targeting). The different BVAR specifications do perform fairly well

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Year of publication:	2013
Authors:	Llosa, Luis-Gonzalo ; Tuesta Reátegui, Vicente ; Vega, Marco
Publisher:	[S.l.] : SSRN
Subject:	Peru \| Inflationssteuerung \| Inflation targeting \| Prognoseverfahren \| Forecasting model
Description of contents:	Abstract [papers.ssrn.com]

Extent:	1 Online-Ressource (28 p)
Type of publication:	Book / Working Paper
Language:	English
Notes:	Volltext nicht verfügbar
Classification:	E31 - Price Level; Inflation; Deflation ; E37 - Forecasting and Simulation ; E47 - Forecasting and Simulation ; C11 - Bayesian Analysis ; C53 - Forecasting and Other Model Applications
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10014065084