Prospective Analysis of the Current Demand of the Local Labour Market
AbstractThe goal of the article lies in forecasting tendencies of the current demand of the local labour market on the basis of the method of statistical equations of dependencies and correlation and regression analysis for prolongation of relevant processes at the meso-level. The article considers a forecast model for co-ordination of dynamics of vacancies depending on socio-economic indicators of city development, which is formed on the basis of the method of statistical equations. This method requires identification of parameters of equations of single-factor dependencies and ratios of communication stability. On the basis of calculated values of these parameters and on the basis of economic and mathematical modelling of certain macro-economic indicators, the article builds equations of multiple regression, use of which would allow forecasting the current demand in the local labour market in the middle-term perspective. The prospect of further studies is forecasting the level of current balance of the local labour market, using the provided methods for forecasting the current supply.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoArticle provided by RESEARCH CENTRE FOR INDUSTRIAL DEVELOPMENT PROBLEMS of NAS (KHARKIV, UKRAINE), Kharkiv National University of Economics in its journal Business Inform.
Volume (Year): (2014)
Issue (Month): 1 ()
Contact details of provider:
Web page: http://www.business-inform.net
forecasting; econometric models; local labour market; current demand; vacancies;
You can help add them by filling out this form.
reading list or among the top items on IDEAS.Access and download statisticsgeneral information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Alexey Rystenko).
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.