The paper analyzes the circumstances in which the combination of forecasts yields better results than the use of the forecasts separately. We propose a method of combining forecasts based on their efficiency on long and medium-term using as benchmarks the combination of forecasts based on...

Under the conditions of OLS use in order to perform multiple linear regressions, both the estimated parameters values and also computed values of some statistical tests such as coefficient of determination, Fisher test or Student test are influenced by collinearity1. The respective influence is...

This paper shows that dynamics of fixed capital productivity at macroeconomic level is related to changes in the indicators and relationships which are fundamental to the economic stability (index of gross fixed capital formation, consumption-fixed capital accumulation relationship, and external...

The paper describes the version (2012) of the Romanian economic macromodel2. The model has been constructed taking into account the important consequences induced by the integration of the country into the European Union and by the world crisis. Some supplementary requests of the government...

Based on the 2012 Version of the Romanian Macromodel, the first section of this paper discusses the evolution of the Romanian economy in 2014. The previous simulations were revised taking into account the changes in the internal and external socio-economic conjuncture or in the available...

Estimates of the macroeconomic indicators are carried out with an econometric model which tries to estimate the medium-term evolution of the Moldovan economy. The forecast takes into account the economic influence of the main economic partners of the Republic of Moldova and the internal...

This study seeks to investigate and highlight the usefulness of the Artificial Neural Networks (ANN) methodology as an alternative to the Box-Jenkins methodology in analysing tourism demand. To this end, each of the above-mentioned methodologies is centred on the treatment, analysis and...

In this paper we will classify patterns using a modified Perceptron algorithm (Dumitrache et al., 1999). The generalization uses the eigenvalues and the eigenvectors of the sample covariance matrix, as we did for classifying patterns using PCR (Ciuiu 2007b).We shall also define measurements for...

This paper is to examine the proper use of dimensions and curve fitting practices elaborating on Georgescu-Roegen’s economic methodology in relation to the three main concerns of his epistemological orientation. Section 2 introduces two critical issues in relation to dimensions and curve...

This paper aims to explore the forecasting accuracy of RON/USD exchange rate structural models with monetary fundamentals. I used robust regression approach for constructing robust neural models less sensitive to contamination with outliers and I studied its predictability on 1 to 6-month...