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We propose a classical approach to estimate factor-augmented vector autoregressive (FAVAR) models with time variation …-varying FAVAR is estimated using a large quarterly dataset of US variables from 1972 to 2007, the results indicate some changes in … from the time-varying FAVAR are more accurate than those from a constant parameter FAVAR for most variables and horizons …
Persistent link: https://www.econbiz.de/10009493746
We propose a classical approach to estimate factor-augmented vector autoregressive (FAVAR) models with time variation …-varying FAVAR is estimated using a large quarterly dataset of US variables from 1972 to 2007, the results indicate some changes in … from the time-varying FAVAR are more accurate than those from a constant parameter FAVAR for most variables and horizons …
Persistent link: https://www.econbiz.de/10008921778
We propose a classical approach to estimate factor-augmented vector autoregressive (FAVAR) models with time variation …-varying FAVAR is estimated using a large quarterly dataset of US variables from 1972 to 2007, the results indicate some changes in … from the time-varying FAVAR are more accurate than those from a constant parameter FAVAR for most variables and horizons …
Persistent link: https://www.econbiz.de/10008936114
The aim of this paper is to gauge the importance of foreign demand, supply and interest rate shocks on the UK economy and assess how their role has changed over time. To that end we devise a time-varying factor augmented VAR model that captures the relationship between 17 industrialised...
Persistent link: https://www.econbiz.de/10010785134
We study the workings of the factor analysis of high-dimensional data using artificial series generated from a large, multi-sector dynamic stochastic general equilibrium (DSGE) model. The objective is to use the DSGE model as a laboratory that allows us to shed some light on the practical...
Persistent link: https://www.econbiz.de/10010933690
We study the workings of the factor analysis of high-dimensional data using arti…cial series generated from a large, multi-sector dynamic stochastic general equilibrium (DSGE) model. The objective is to use the DSGE model as a laboratory that allow us to shed some light on the practical...
Persistent link: https://www.econbiz.de/10008751298
We study the workings of the factor analysis of high-dimensional data using arti?cial series generated from a large, multi-sector dynamic stochastic general equilibrium (DSGE) model. The objective is to use the DSGE model as a laboratory that allow us to shed some light on the practical bene?ts...
Persistent link: https://www.econbiz.de/10008671571
We use a non-linear factor-augmented vector-autoregressive model to evaluate international effects of an unexpected decrease in euro area policy rates. Given the current environment of ultra low or negative interest rates, we especially focus on potential differences in the transmission of the...
Persistent link: https://www.econbiz.de/10011621228
structural analysis, there is little evidence on their usefulness in forecasting UK output growth, inflation and the short … models in forecasting output growth, inflation and a short rate. We find that allowing for time-varying parameters can lead …
Persistent link: https://www.econbiz.de/10010704383
We evaluate the forecasting performance of six different models for short-term forecasting of Macedonian GDP: 1) ARIMA … links GDP to the current values of several principal components obtained from a set of high-frequency indicators; 6) FAVAR …
Persistent link: https://www.econbiz.de/10011785343