NUMBER AND STRUCTURE OF ROMANIA’S EMPLOYED POPULATION - EVOLUTIONS AND PERSPECTIVES AT NATIONAL AND REGIONAL LEVEL
Journal Title: Revista Romana de Statistica - Year 2011, Vol 59, Issue 8
Abstract
The contradictory evolutions of the indicators of labour force in Romania after 1900, with a trend hard to define, are sometimes difficult to explain using the classic statistical methods which show in certain cases surprising, atypical correlations. In this context, our paper presents the evolution of the employed population in Romania between 2002 and 2010, outlining the main dynamics and structural aspects. As a reinforcement of what was stated above, we realised a short-term forecast of the employed population and of the working age population , as well as a forecast of the structural changes of the employed population by development regions, using Markov’s chain method.
Authors and Affiliations
Cornel LAZĂR, Mirela LAZĂR
Keywords
Related Articles
- EP ID EP113765
- DOI -
- Views 124
- Downloads 0
Involvement of the Top Management in the Progess of the Organizational Culture of a Successful Company
The most visible side of the organizational culture includes artificial physical products, behavioural artificial products, verbal artificial products, heroes, actors and prospects offered to the members of an organizati...
THE PREDICTION OF THE BANKRUPTCY RISK
The study research results of the bankruptcy risk in the actual economic crisis are very weak. This issue is very important for the economy of every country, no matter what their actual development level. The necessity...
METHODS AND TECHNIQUES FOR QUANTIFYING THE VALUE OF ECOSYSTEM SERVICES
To quantify ecosystem services several methods have been developed, that succeed to address almost the entire range of ecosystems’ benefits for human. Using these methods has gained popularity in both developed and devel...
Estimarea parametrilor modelului liniar de regresie
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-Mark...
Accelerating R with high performance linear algebra libraries
Linear algebra routines are basic building blocks for the statistical software. In this paper we analyzed how can we improve R performance for matrix computations. We benchmarked few matrix operations using the standard...