textabstractIn this paper we give explicit expressions for the forecasts of levels of a vector time series when such forecasts are generated from (possibly cointegrated) vector autoregressions for the corresponding log-transformed time series. We also show that simply taking exponentials of forecasts for logged data leads to substantially biased forecasts. We illustrate this using a bivariate cointegrated vector series containing US GNP and investments
Aggregated times series variables can be forecasted in different ways. For example, they may be fore...
This dissertation describes a technique of economic forecasting with Bayesian vector autoregression ...
For forecasting and economic analysis many variables are used in logarithms (logs). In time series a...
Sometimes forecasts of the original variable are of interest although a variable appears in logarith...
Abstract. Sometimes forecasts of the original variable are of interest al-though a variable appears ...
Abstract. For forecasting and economic analysis many variables are used in logarithms (logs). In tim...
This paper investigates the effects of imposing invalid cointegration restrictions or ignoring valid...
This paper investigates the effects of imposing invalid cointegration restrictions or ignoring valid...
For forecasting and economic analysis many variables are used in logarithms (logs). In time series ...
abstract: this paper investigates the forecasting performance of cointegrated systems by simulation....
This paper considers unbiased prediction of growth and levels when data series are modelled as a ran...
Two methods for building vector autoregression forecasting models are proposed. The first allows exc...
When forecasting aggregated time series, several options are available. For example, the multivariat...
For forecasting and economic analysis many variables are used in logarithms (logs). In time series a...
For forecasting and economic analysis many variables are used in logarithms (logs). In time series a...
Aggregated times series variables can be forecasted in different ways. For example, they may be fore...
This dissertation describes a technique of economic forecasting with Bayesian vector autoregression ...
For forecasting and economic analysis many variables are used in logarithms (logs). In time series a...
Sometimes forecasts of the original variable are of interest although a variable appears in logarith...
Abstract. Sometimes forecasts of the original variable are of interest al-though a variable appears ...
Abstract. For forecasting and economic analysis many variables are used in logarithms (logs). In tim...
This paper investigates the effects of imposing invalid cointegration restrictions or ignoring valid...
This paper investigates the effects of imposing invalid cointegration restrictions or ignoring valid...
For forecasting and economic analysis many variables are used in logarithms (logs). In time series ...
abstract: this paper investigates the forecasting performance of cointegrated systems by simulation....
This paper considers unbiased prediction of growth and levels when data series are modelled as a ran...
Two methods for building vector autoregression forecasting models are proposed. The first allows exc...
When forecasting aggregated time series, several options are available. For example, the multivariat...
For forecasting and economic analysis many variables are used in logarithms (logs). In time series a...
For forecasting and economic analysis many variables are used in logarithms (logs). In time series a...
Aggregated times series variables can be forecasted in different ways. For example, they may be fore...
This dissertation describes a technique of economic forecasting with Bayesian vector autoregression ...
For forecasting and economic analysis many variables are used in logarithms (logs). In time series a...