Bayesian econometrics

The computational revolution in simulation techniques has shown to become a key ingredient in the field of Bayesian econometrics and opened new possibilities to study complex economic and financial phenomena. Applications include risk measurement, forecasting, assessment of policy effectiveness in macro, finance, marketing and monetary economics.

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Year of publication:	2020
Authors:	Bernardi, Mauro ; Grassi, Stefano ; Ravazzolo, Francesco
Published in:	Journal of Risk and Financial Management. - Basel : MDPI, ISSN 1911-8074. - Vol. 13.2020, 11, p. 1-2
Publisher:	Basel : MDPI
Subject:	Bayesian econometrics \| forecasting \| macroeconomic and financial applications \| MCMC methods

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Type of publication:	Article
Type of publication (narrower categories):	Article
Language:	English
Other identifiers:	10.3390/jrfm13110257 [DOI] 1743564236 [GVK] hdl:10419/239370 [Handle]
Source:	EconStor

Persistent link: https://www.econbiz.de/10012611511