The GDP forecasting is a prior concern for each country, but also for an entire region composed by more countries with specific and different evolutions of GDP. The GDP predictions for the 27 European Union are based on two econometric techniques. It was proved, using accuracy indicators like U1 and U2 Theil’s coefficients and statistical tests (Morgan-Granger-Newbold test, Harvey-Leybourne-New...

At the end of every year the Value Line (VL) Corporation publishes its forecasts of the Dow Jones Index and its probable ranges for the coming three years using a three explanatory variable multiple regression model that we call the Value Line Dow Jones (VL-DJ) model. The model is a static time series model. Therefore, forecasts of the Dow Jones Index rely on forecasts of the independent variab...

accurate quantitative precipitation forecasts (qpfs) have been always a demanding and challenging job in numerical weather prediction (nwp). the outputs of ensemble prediction systems (epss) in the form of probability forecasts provide a valuable tool for probabilistic quantitative precipitation forecasts (pqpfs). in this research, different configurations of wrf and mm5 meso-scale models form ...

Short term electricity demand forecasts are required by power utilities for efficient operation of the power grid. In a competitive market environment, suppliers and large consumers also require short term forecasts in order to estimate their energy requirements in advance. Electricity demand is influenced (among other things) by the day of the week, the time of year and special periods and/or ...

Before 1960, little empirical research was done on forecasting methods. Since then, the literature has grown rapidly, especially in the area of judgmental forecasting. This research supports and adds to the forecasting guidelines proposed before 1960, such as the value of combining forecasts. New findings have led to significant gains in our ability to forecast and to help people to use forecas...

Before 1960, little empirical research was done on forecasting methods. Since then, the literature has grown rapidly, especially in the area of judgmental forecasting. This research supports and adds to the forecasting guidelines proposed before 1960, such as the value of combining forecasts. New findings have led to significant gains in our ability to forecast and to help people to use forecas...

â â â  â â  the paper uses economic and energy data analysis and econometric modeling to study the prospects and challenges of korea’s 2003 fta roadmap (mofat 2013) in the form of potential comprehensive partnerships with its major trade and energy partners. it first reviews korea’s international economic and trade relations in recent years with a focus on its major merchandise export desti...

This paper investigates the possibility of obtaining long-into-the-future reliable forecasts of observed nonlinear cyclical phenomena. Unsmoothed monthly sunspot numbers that are characteristically cyclical with nonlinear dynamics as well as their wavelet-transformed and wavelet-denoised series are forecasted through October 2008. The objective is to determine whether modelling wavelet-conversi...

Production frontiers, technical efficiency, survey of applications. The modelling and estimation of frontier production functions has been an important area of econometric research during the last two decades. F~rsund, Lovell and Schmidt (1980) and Schmidt (1986) present reviews of the concepts and models involved and cite some of the empirical applications which had appeared to their respectiv...