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Time-varying Models for Macroeconomic Forecasts

Zhang, Bo

Description

This thesis consists of three studies focusing on ways to detect and model time variation among macroeconomic variables. In these three studies, errors with autoregressive moving averages (ARMA), model averaging, and stochastic volatility (SV) are used to investigate the uncertainty and the instability of macroeconomic dynamics. In particular, I expand upon both univariate (autoregressive; AR) and multivariate (vector autoregressive; VAR) time series models. ...[Show more]

CollectionsOpen Access Theses
Date published: 2018
Type: Thesis (PhD)
URI: http://hdl.handle.net/1885/148172
DOI: 10.25911/5d61207fd1905

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