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...

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...

The authors analyze the relationships existing between the parameters of the reciprocal lines, defining, determining and interpreting the notions of estimators, regression line slope quotient, free terms of the regression line.

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...

This method is to be found out in the economic theory as beta method. This method is largely utilized for studying the risk of equities. In the frame of this method, the risk is identified through the fluctuation of their yield. Thus, the higher the fluctuation degree of the portfolio yield 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 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...

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...

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...