A Comparison of Expert Forecasts with BVAR Model Forecasts by Sandrine Lardic and Auguste Mpacko-Priso This paper checks whether economic and financial experts forecast macroeconomic and financial variables «better» than alternative techniques and in particular the Bayesian method. The BVAR methodology, presented in detail in Lardic and Mpacko-Priso (1996) and summarised in this paper, is used to generate six-month and twelve-month forecasts of the Consumer Price Index, Industrial Production Index, Standard and Poors 425, and Standard and Poors 500 for two samples. These forecasts are then compared with economic and financial expert predictions as well as with forecasts derived from traditional techniques for the same periods of time. Stat...
Forecasting of inflation has become crucial for both policy makers and private agents who try to und...
This dissertation describes a technique of economic forecasting with Bayesian vector autoregression ...
This paper reviews recent advances in the specification and estimation of Bayesian Vector Autoregres...
The application of Vector Autoregressive (VAR) models to macroeconomic forecasting problems was sugg...
This paper is motivated by the recent interest in the use of Bayesian VARs for forecasting, even in ...
The paper develops a Bayesian vector autoregressive (BVAR) model of the South African economy for th...
This paper compares the forecasting performance of three different econometric models for the Eurozo...
textabstractExpert opinion is an opinion given by an expert, and it can have significant value in fo...
The paper develops a Bayesian vector autoregressive (BVAR) model of the South African economy for th...
This thesis is about forecasting situations which involve econometric models and expert intuition. T...
This paper is motivated by the recent interest in the use of Bayesian VARs for forecasting, even in ...
Bayesian vector autoregressions (BVAR) have turned out to be useful for medium-term macroeconomic fo...
We estimate a Bayesian VAR (BVAR) for the UK economy and assess its performance in forecasting GDP g...
Article first published online: 26 MAR 2013In this paper we discuss how the point and density foreca...
In this paper we test the forecasting ability of three estimated financial conditions indices (FCIs)...
Forecasting of inflation has become crucial for both policy makers and private agents who try to und...
This dissertation describes a technique of economic forecasting with Bayesian vector autoregression ...
This paper reviews recent advances in the specification and estimation of Bayesian Vector Autoregres...
The application of Vector Autoregressive (VAR) models to macroeconomic forecasting problems was sugg...
This paper is motivated by the recent interest in the use of Bayesian VARs for forecasting, even in ...
The paper develops a Bayesian vector autoregressive (BVAR) model of the South African economy for th...
This paper compares the forecasting performance of three different econometric models for the Eurozo...
textabstractExpert opinion is an opinion given by an expert, and it can have significant value in fo...
The paper develops a Bayesian vector autoregressive (BVAR) model of the South African economy for th...
This thesis is about forecasting situations which involve econometric models and expert intuition. T...
This paper is motivated by the recent interest in the use of Bayesian VARs for forecasting, even in ...
Bayesian vector autoregressions (BVAR) have turned out to be useful for medium-term macroeconomic fo...
We estimate a Bayesian VAR (BVAR) for the UK economy and assess its performance in forecasting GDP g...
Article first published online: 26 MAR 2013In this paper we discuss how the point and density foreca...
In this paper we test the forecasting ability of three estimated financial conditions indices (FCIs)...
Forecasting of inflation has become crucial for both policy makers and private agents who try to und...
This dissertation describes a technique of economic forecasting with Bayesian vector autoregression ...
This paper reviews recent advances in the specification and estimation of Bayesian Vector Autoregres...