A Mixed Frequency Steady-State Bayesian Vector Autoregression: Forecasting the Macroeconomy
This thesis suggests a Bayesian vector autoregressive (VAR) model which allows for explicit parametrization of the unconditional mean for data measured at different frequencies, without the need to aggregate data to the lowest common frequency. Using a normal prior for the steady-state and a normal-...
Main Author: | Unosson, Måns |
---|---|
Format: | Others |
Language: | English |
Published: |
Uppsala universitet, Statistiska institutionen
2016
|
Subjects: | |
Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-297406 |
Similar Items
-
On the Specification of Local Models in a Global Vector Autoregression: A Comparison of Markov-Switching Alternatives
by: Andersson, Sebastian
Published: (2014) -
MACROECONOMIC FORECASTING USING BAYESIAN VECTOR AUTOREGRESSIVE APPROACH
by: D. Tutberidze, et al.
Published: (2017-04-01) -
The macroeconomic effects of COVID-19 in Montenegro: a Bayesian VARX approach
by: Gordana Djurovic, et al.
Published: (2020-11-01) -
Bayesian Compressed Vector Autoregression for Financial Time-Series Analysis and Forecasting
by: Paponpat Taveeapiradeecharoen, et al.
Published: (2019-01-01) -
Modeling and Forecasting Regional Tourism Demand Using the Bayesian Global Vector Autoregressive (BGVAR) Model
by: Assaf, A.G, et al.
Published: (2019)