A QUANTITATIVE APPROACH ON LABOUR FORCE IN ROMANIA IN 2003 -2011
In this article we present a quantitative approach to employment in Romania. In 2003 - 2011, the three main indicators of labour: Total Labour Force Resource (TLFR) Civilian Employment (CE) and Civil Economically Active Population (CEAP) had an oscillating evolution, but not necessarily simultaneous evolution. To better highlight how these indicators have evolved in the period under review we determined their dynamic indices and we have seen that the largest variations are recorded the Indices of Civilian Employment (ICE). The increases and decreases of ICE describe the characteristics of the Romanian economy evolution in period under review In the second part of the article we are surprised the significant structural changes in the civilian employed population who have reduced activity of branches and the emergence and growth of others.
Cox regression models for unemployment duration in Romania, Austria, Slovenia, Croatia, and Macedonia
This paper applies the semi-parametric Cox regression approach to model unemployment duration in five Central and Eastern European countries. The Cox proportional hazards models and the Cox regression models with a time-dependent covariate are developed, and the results are interpreted and compared. The impact of the variables age, gender, education level, and region on the hazard ratio is discussed. The results for the time-dependent variable age imply that the longer the unemployment spell lasts, the less pronounced the differences between various age groups are.
Gender differences in exit rates from unemployment: evidence from
Exit rates from unemployment are analysed by distinguishing two destinations: employment and non-participation. Unlike most of the earlier empirical Finnish studies of transitions from unemployment, we allow for different behaviour of males and females. A database constructed from three register data files of the Employment Service of Vasa in 1996 is used. Results of the estimated duration models suggest that gender differences are foremost due to the closer attachment of men to the labour market, the family responsibilities affecting women, and the traditional gender structure of the Finnish labour market. Our results show that drawing conclusions when gender differences are not considered can lead to misperceptions.