Dalia Tendziagolskytė, Rimantas Rudzkis


Lithuanian labour market indicators, such as the total number of employees, the number of employees in the private and public sectors, the number of the unemployed, labour force, employment and unemployment rates, the relative number of employees, average monthly gross income are analysed in the paper. The experience of foreign countries and Lithuania in creating labour market models and econometric methodology has been examined. As a result, a new model of the Lithuanian labour market is produced, comprising five regressive equations, which are part of the recursive SVAR model, and four identities, which are part of balance equations. According to the logic of economic and other research, relevant connections in the economy have been specified, unknown parameters of equations have been estimated. Finally, forecasts of endogenous indicators for 2014 have been provided, and results have been compared with the projections of the main labour market indicators for 2014−2017, published by the Ministry of Finance. Calculations have been made using a statistical package Gretl.


labour market, macroeconomic models, SVAR, recursive system, balance equation, regression analysis, forecasting

Full Text: PDF

Lithuanian Journal of Statistics ISSN 1392-642X, eISSN 2029-7262
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 License.