This thesis studies the usefulness of vector autoregressive moving average (VARMA) models in macroeconomic modelling and forecasting. This thesis aims to provide more evidence on the empirical performance of VARMA models, such as forecast evaluations and impulse response analysis. By doing so, it will contribute to the growing body of literature which uses VARMA models for macroeconomic modelling, and suggest that VARMA models can be both beneficial and relatively straightforward to estimate
Abstract: Vector Autoregressive Moving Average (VARMA) models have many the-oretical properties whic...
Vector Autoregressive Moving Average (VARMA) models have many theoretical properties which should ma...
It is common practice to use reduced-form vector autoregression (VAR) models, or more generally vect...
This thesis studies the usefulness of vector autoregressive moving average (VARMA) models in macroec...
In this article, we argue that there is no compelling reason for restricting the class of multivaria...
In this paper, we argue that there is no compelling reason for restricting the class of multivariate...
Empirical work in macroeconometrics has been mostly restricted to using vector autoregressions (VARs...
The Vector AutoRegressive Moving Average (VARMA) model is a fundamental tool for modeling multivaria...
We address the issue of modelling and forecasting macroeconomic variables using rich datasets by ado...
Classical Gaussian maximum likelihood estimation of mixed vector autoregressive moving-average model...
We address the issue of modelling and forecasting macroeconomic variables using rich datasets by ado...
This article studies error correction vector autoregressive moving average (ECVARMA) models. A compl...
This article studies error correction vector autoregressive moving average (ECVARMA) models. A compl...
An important question in empirical macroeconomics is whether structural vector autoregressions (SVA...
One of the most critical roles of macroeconometricians is to provide advice to policymakers by descr...
Abstract: Vector Autoregressive Moving Average (VARMA) models have many the-oretical properties whic...
Vector Autoregressive Moving Average (VARMA) models have many theoretical properties which should ma...
It is common practice to use reduced-form vector autoregression (VAR) models, or more generally vect...
This thesis studies the usefulness of vector autoregressive moving average (VARMA) models in macroec...
In this article, we argue that there is no compelling reason for restricting the class of multivaria...
In this paper, we argue that there is no compelling reason for restricting the class of multivariate...
Empirical work in macroeconometrics has been mostly restricted to using vector autoregressions (VARs...
The Vector AutoRegressive Moving Average (VARMA) model is a fundamental tool for modeling multivaria...
We address the issue of modelling and forecasting macroeconomic variables using rich datasets by ado...
Classical Gaussian maximum likelihood estimation of mixed vector autoregressive moving-average model...
We address the issue of modelling and forecasting macroeconomic variables using rich datasets by ado...
This article studies error correction vector autoregressive moving average (ECVARMA) models. A compl...
This article studies error correction vector autoregressive moving average (ECVARMA) models. A compl...
An important question in empirical macroeconomics is whether structural vector autoregressions (SVA...
One of the most critical roles of macroeconometricians is to provide advice to policymakers by descr...
Abstract: Vector Autoregressive Moving Average (VARMA) models have many the-oretical properties whic...
Vector Autoregressive Moving Average (VARMA) models have many theoretical properties which should ma...
It is common practice to use reduced-form vector autoregression (VAR) models, or more generally vect...