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...

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...

Before beingutilized, any model based on the regression function must be analysed and accommodated to the actual conditions implied by the performed analysis. The veracity of the outcomes resulting out of the utilization of the regression model implies that the significance of the model being...

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.

This paper describes a use case for macro economical models, the objective being the structural analysis of the Gross Domestic Product. The authors first introduce the theoretical foundation of the model, then offer a snapshot on GDP evolution. The econometric models proposed for analysis are...

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...

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 multiple regression is a tool that offers the possibility to analyze the correlations between more than two variables, situation which account for most cases in macro-economic studies. The best known method of estimation for multiple regression is the method of least squares. As in the...