Dynamic factor models, factor-augmented vector autoregressions, and structural vector autoregressions in macroeconomics
JH Stock, MW Watson - Handbook of macroeconomics, 2016 - Elsevier
This chapter provides an overview of and user's guide to dynamic factor models (DFMs),
their estimation, and their uses in empirical macroeconomics. It also surveys recent …
their estimation, and their uses in empirical macroeconomics. It also surveys recent …
Macroeconomic outcomes of OPEC and non-OPEC oil supply shocks in the euro area
Exogenous OPEC and non-OPEC oil supply cuts, which are identified within an SVAR
model with unplanned oil supply outage as an external instrument, decrease industrial …
model with unplanned oil supply outage as an external instrument, decrease industrial …
Measuring global economic activity
JD Hamilton - Journal of Applied Econometrics, 2021 - Wiley Online Library
A number of economic studies have used a proxy for world real economic activity derived
from shipping costs. This measure turns out to depend on a normalization that has …
from shipping costs. This measure turns out to depend on a normalization that has …
The macroeconomic effects of oil price uncertainty
A Abiad, IA Qureshi - Energy Economics, 2023 - Elsevier
We study the impact of oil price uncertainty (OPU) on macroeconomic activity. We construct
a new measure of OPU by extracting information on oil markets from 50 newspapers around …
a new measure of OPU by extracting information on oil markets from 50 newspapers around …
[HTML][HTML] Identification and estimation of non-Gaussian structural vector autoregressions
Conventional structural vector autoregressive (SVAR) models with Gaussian errors are not
identified, and additional identifying restrictions are needed in applied work. We show that …
identified, and additional identifying restrictions are needed in applied work. We show that …
Structural vector autoregressions with heteroskedasticity: A review of different volatility models
H Lütkepohl, A Netšunajev - Econometrics and statistics, 2017 - Elsevier
Abstract Changes in residual volatility are often used for identifying structural shocks in
vector autoregressive (VAR) analysis. A number of different models for heteroskedasticity or …
vector autoregressive (VAR) analysis. A number of different models for heteroskedasticity or …
[HTML][HTML] Historical energy price shocks and their changing effects on the economy
DJ van de Ven, R Fouquet - Energy Economics, 2017 - Elsevier
The purpose of this paper is to identify the changes in the impact of energy shocks on
economic activity—with an interest in assessing if an economy's vulnerability and resilience …
economic activity—with an interest in assessing if an economy's vulnerability and resilience …
What drives oil prices?—A Markov switching VAR approach
This paper constructs a five-variable Markov switching vector autoregressions (Markov
switching VAR) model based on oil prices, oil aggregate supply, oil aggregate demand …
switching VAR) model based on oil prices, oil aggregate supply, oil aggregate demand …
The econometrics of oil market VAR models
Oil market VAR models have become the standard tool for understanding the evolution of
the real price of oil and its impact on the macro economy. As this literature has expanded at …
the real price of oil and its impact on the macro economy. As this literature has expanded at …
How does the US natural gas market react to demand and supply shocks in the crude oil market?
A Jadidzadeh, A Serletis - Energy Economics, 2017 - Elsevier
In this paper we use monthly data (over the period from January 1976 to December 2012)
and a structural VAR model to disentangle demand and supply shocks in the global crude …
and a structural VAR model to disentangle demand and supply shocks in the global crude …