Many social scientists believe that dumping long lists of explanatory variables into linear regression, probit, logit, and other statistical equations will successfully “control†for the effects of auxiliary factors. Encouraged by convenient software and ever more powerful computing,...

Today world is facing more and more with different sources of pollution,the most affected areas being the proximity of the biggest industrial centers (chemistry, mining and metallurgy, machine building etc.). The industrial area of Baia Mare is a typical one for such a situation. To maintain a...

The regression model is used in order to obtain the parameters that correspond to the set of variable dependency analysis, formulated between variables, where the series of data are recorded in the statistical units of the population for a period or a moment, and for highlighting the dependence...

The quantity theory of money is one of the most important theoretical propositions in monetary economic theory. However, in recent days more and more economists contest its validity. In this article we will attempt to offer additional empirical support for the quantity theory of money. We argue...

This paper investigates the effects of microfinance on micro and small business growth in Nigeria. The objectives are: one, to examine the effects of different loan administration practices (in terms of loan size and tenor) on small business growth criteria. Second, to examine the ability of...

This paper provides a regression approach to estimate tail dependence measures. The estimates coincide with the non-parametric estimates following Extreme Value Theory. The approach can easily be extended to higher dimensional analysis. We provide an example on international stock markets.

We study variance estimation in a negative binomial regression model for analyzing time series of counts, where serial dependence among the observed counts is introduced by an autocorrelated latent process. The regression coefficient vector is estimated by maximizing the pseudo-likelihood with...

As a multi-dimensional indicator that captures the quality of life and wellbeing, the level of life satisfaction is very important for designing future policy The present analysis will focus on the study of life satisfaction based on the Romanian respondents’ opinions and feelings about family...

The global climate changes are determined by diverse causes and among these,greenhouse gases emissions from business activities and agriculture, are partly responsible. Theconsequences of global climate changes are dramatic not only for the environment, and implicitlyfor the quality of life, but...

The paper considers interactive influence of certain types of economic activity within the rural sector on the region's agricultural production. The major interdependence has been established, the correlation-regression analysis has been conducted. The dependence is represented by the linear...