Kitov, Ivan and Kitov, Oleg (2009): Modelling and predicting labor force productivity.
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Abstract
Labor productivity in Turkey, Spain, Belgium, Austria, Switzerland, and New Zealand has been analyzed and modeled. These counties extend the previously analyzed set of the US, UK, Japan, France, Italy, and Canada. Modelling is based on the link between the rate of labor participation and real GDP per capita. New results validate the link and allow predicting a drop in productivity by 2010 in almost all studied countries.
Item Type: | MPRA Paper |
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Original Title: | Modelling and predicting labor force productivity |
Language: | English |
Keywords: | productivity, labor force, real GDP, prediction, modelling |
Subjects: | J - Labor and Demographic Economics > J2 - Demand and Supply of Labor > J21 - Labor Force and Employment, Size, and Structure O - Economic Development, Innovation, Technological Change, and Growth > O4 - Economic Growth and Aggregate Productivity |
Item ID: | 15152 |
Depositing User: | Ivan Kitov |
Date Deposited: | 11 May 2009 01:45 |
Last Modified: | 27 Sep 2019 00:58 |
References: | Kitov, I., Kitov, O., (2008). The driving force of labor productivity, MPRA Paper 9069, University Library of Munich, Germany, http://mpra.ub.uni-muenchen.de/9069/01/MPRA_paper_9069.pdf Kitov, I., Kitov, O., (2008). The Driving Force of Labor Force Participation in Developed Countries, Journal of Applied Economic Sciences, Spiru Haret University, Faculty of Financial Management and Accounting Craiova, vol. 2(3(5)_Fall), pp. 203-222. Kitov, I., Kitov, O., Dolinskaya, S., (2008). Comprehensive Macro–Model For The US Economy, Journal of Applied Economic Sciences, Spiru Haret University, Faculty of Financial Management and Accounting Craiova, ol. 3(4(6)_Wint), pp. 405-418. Kitov, I., Kitov, O., Dolinskaya, S., (2007). Modelling real GDP per capita in the USA: cointegration test, MPRA Paper 2739, University Library of Munich, Germany, http://mpra.ub.uni-muenchen.de/2739/01/MPRA_paper_2739.pdf |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/15152 |