We propose a new model for measuring uncertainty and its effects on the economy, based on a large vector autoregression with stochastic volatility driven by common factors representing macroeconomic and financial uncertainty. The uncertainty measures reflect changes in both the conditional mean and volatility of the variables, and their impact on the economy can be assessed within the same framework. Estimates with U.S. data show substantial commonality in uncertainty, with sizable effects of uncertainty on key macroeconomic and financial variables. However, historical decompositions show a limited role of uncertainty shocks in macroeconomic fluctuations
We develop a structural vector autoregression with stochastic volatility in which one of the variabl...
International audienceThis article proposes a uncertainty composite indicator (UCI) based on three d...
© 2019 Dr. Trung Duc TranThis dissertation provides three chapters that study uncertainty and its ma...
We propose a new model for measuring uncertainty and its effects on the economy, based on a large ve...
We propose a new model for measuring uncertainty and its effects on the economy, based on a large ve...
We propose a new model for measuring uncertainty and its e˙ects on the economy, based on a large vec...
We propose a new model for measuring uncertainty and its e˙ects on the economy, based on a large vec...
We propose a large-scale Bayesian VAR model with factor stochastic volatility to investigate the mac...
We estimate macroeconomic uncertainty and the effects of uncertainty shocks by means of a new proce...
This paper uses a large vector autoregression to measure international macroeconomic uncertainty and...
This paper uses a large vector autoregression to measure international macroeconomic uncertainty and...
In this paper, we estimate a Bayesian vector autoregressive (VAR) model with factor stochastic volat...
We propose a nonrecursive identification scheme for uncertainty shocks that exploits breaks in the v...
We propose a nonrecursive identification scheme for uncertainty shocks that exploits breaks in the v...
We develop a structural vector autoregression with stochastic volatility in which one of the variabl...
We develop a structural vector autoregression with stochastic volatility in which one of the variabl...
International audienceThis article proposes a uncertainty composite indicator (UCI) based on three d...
© 2019 Dr. Trung Duc TranThis dissertation provides three chapters that study uncertainty and its ma...
We propose a new model for measuring uncertainty and its effects on the economy, based on a large ve...
We propose a new model for measuring uncertainty and its effects on the economy, based on a large ve...
We propose a new model for measuring uncertainty and its e˙ects on the economy, based on a large vec...
We propose a new model for measuring uncertainty and its e˙ects on the economy, based on a large vec...
We propose a large-scale Bayesian VAR model with factor stochastic volatility to investigate the mac...
We estimate macroeconomic uncertainty and the effects of uncertainty shocks by means of a new proce...
This paper uses a large vector autoregression to measure international macroeconomic uncertainty and...
This paper uses a large vector autoregression to measure international macroeconomic uncertainty and...
In this paper, we estimate a Bayesian vector autoregressive (VAR) model with factor stochastic volat...
We propose a nonrecursive identification scheme for uncertainty shocks that exploits breaks in the v...
We propose a nonrecursive identification scheme for uncertainty shocks that exploits breaks in the v...
We develop a structural vector autoregression with stochastic volatility in which one of the variabl...
We develop a structural vector autoregression with stochastic volatility in which one of the variabl...
International audienceThis article proposes a uncertainty composite indicator (UCI) based on three d...
© 2019 Dr. Trung Duc TranThis dissertation provides three chapters that study uncertainty and its ma...