The paper investigates the relationship between employment protection legislation (EPL hereafter) and labour productivity growth in the EU in the context of the Great Recession. We consider the crisis and recovery periods, evaluate the relevance of both levels and changes in EPL for productivity...

This paper evaluates the importance of middle class vulnerability to poverty for subjective well-being (happiness) in European countries. Using the special module of the European Union Statistics on Income and Living Conditions micro-data on well-being and national aggregates from the World...

Value-at-risk (VaR) model as a tool to estimate market risk is considered in the thesis. It is a statistical model defined as the maximum future loss due to likely changes in the value of financial assets portfolio during a certain period with a certain probability. A new definition of the...

Disertacijoje nagrinėjamas vertės pokyčio rizikos modelis. Tai toks statistinis modelis, kurį taikant su tam tikra tikimybe įvertinamas didžiausias galimas nustatyto laikotarpio nuostolis, kredito įstaigos patiriamas dėl neigiamų taikomos finansinės priemonės vertės pokyčių....

The accurate (exact) prediction of tax revenue is a very important task for state budget planning. Both underestimation and overestimation of the planned revenue could cause problems in case the revenue is used to finance government functions. In the past few years planning of profit tax revenue...

The accurate (exact) prediction of tax revenue is a very important task for state budget planning. Both underestimation and overestimation of the planned revenue could cause problems in case the revenue is used to finance government functions. In the past few years planning of profit tax revenue...

Šiame darbe aš apibendrinau informaciją apie pasirinkimo tarp tiesinio prognozavimo mikro ir makro-modelių problemą. Agregavimas suprantamas kaip sektorinis agregavomas, o modeliai yra iš vienmatės tiesinės regresijos klasės. Aš išvedžiau kriterijų pasirinkimui tarp makro ir...