The authors propose the identification and measurement of the existing correlation between the evolution of the country’s final consumption (total of sum of private and public consumption), net investment and GDP variation. The analysis methodology is based on linear multiple regression,...

This paper presents the author’s view on some analysis methods applicable to the labor market of Romania, focusing on problems such as structure and occupation. The first part is dedicated to a synopsis on the population and labor force indicator’s evolution, while further analysis is...

This paper describes a use case for macro economical models, the objective being the structural analysis of the Gross Domestic Product. The authors offer a snapshot on GDP evolution, the econometric models proposed for analysis are designed with the help of EViews software. Its performances are...

OLS is considered to be, by far, the most popular and well-known method for estimating parameters of multiple regression. In this case, however, it is important to underline that there is no warranty as to the fact that OLS estimators will be, in one way or another, some “perfect” estimators.

Under the hypotheses IA and IB, OLS estimators are both linear and stationary. For it to provide the same minimum variance of all linear and stationary estimators and to take part of BLUE, it is necessary that the classical assumptions IIB and IIC should be available. As in the case of...

In this paper, the authors propose solving the problematic regarding the estimation of the parameters for the linear regression model. For this, the least squares method, the maximum likelihood method and the Gauss-Markov theorem are used. There are also presented the properties of the...

Linear regression model involves the identification of variables for defining specification for variable and model residuals; the context in which the regression model is used. Analysis of chronological (time) using a temporal function which, in essence, is also a regression, with a variable...

The estimation of the regression function, can analyze a transformation of this function. The option for this transformation is grounded by the economic analysis which defines the parameters of interest. A procedure of adjustment is included, consisting of the elimination of the data placed at...