One of the arguments against migrant labor is that it has negative ef- fect on the employment of domestic labor. The question is now if the immigration has also negative effects on the other variables of the econ- omy. To examine these effects we develop an optimal growth model with migration...

An outlier is an observation that appears to deviate evidently from other observations in the sample. It is important to identify an outlier because it may suggest erroneous data or, in some cases, outliers may be due to random variation or may indicate something scientifically interesting....

In this paper we are looking at the cause-effect relationship between the economic, financial, demographic and food crises. Crises are interrelated and need to be viewed together, as the effects of one crisis are or may represent causes for another crisis. The current food crisis translates...

The first aim of this study is to identify possible natural disasters and catastrophes and to summarize the state of economic literature in the domain. Further are analyzed the methodologies used for estimating the economic impacts of disasters and catastrophes. The second aim is to compare...

The reason for choosing this theme is that the employers show a lack of interest in the workforce that has benefited from the educational process, a lack of interest which begun to intensify lately, educational process meaning formal education, namely that obtained in universities. The...

Having as subject the labor market in the context of the contemporary world’s problems, this paper aims to make a theoretical and practical presentation of these concepts, which are relevant for the national and international literature. The first part, dealing with the state-of-the-art of the...

This is an original scientific paper that proposes the introduction in literature of two new accuracy indicators for assessing the global accuracy of the forecast intervals. Taking into account that there are not specific indicators for prediction intervals, point forecasts being associated to...

Worldwide and during the last decade, R has developed in a balanced way and nowadays it represents the most powerful tool for computational statistics, data science and visualization. Millions of data scientists use R to face their most challenging problems in topics ranging from economics to...

This article follows the main contributions brought to the nonlinear modeling literature. We investigate and review a series of parametric initiatives, focusing on the evolution of TAR and ARCH – GARCH model families in econometric and forecasting applications.

This paper aims to determine the trend of the relationship between corporate environmental responsibility and corporate reputation by focusing on a study of the European automotive sector. The starting point of our research is content analysis of the sustainability or social responsibility...