Macroeconomic Prognosis of Employment in the Czech Republic

Daniel Toth and Lenka Kuc Rkov
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Daniel Toth: Department of Management, Masarykuv stav Vy ch Studi , CVUT, Kolejn 2, 160 00 Praha 6, Czech Republic
Lenka Kuc Rkov: Department of Languages, Faculty of Economics and Management, Czech University of Life Sciences Prague, Czech Republic.

International Journal of Economics and Financial Issues, 2017, vol. 7, issue 4, 730-736

Abstract: The article is focused on employment policy in the Czech Republic, its success and development, stated goals, and whether it is possible to reach 75% employment by 2020. In the context of comparison with another country, Austria has been chosen. Total employment, women's employment, men s employment and age groups from 55 to 64 years will be compared. Employment is a comprehensive indicator, which requires economic and social definition. For prognosis processing, the ordinary least squares (OLS) method, so called OLS, was used. Multiple regression analysis generates a regression econometric equation which could be, after the substitution of variables, used as an instrument of the prognosis of employment development for medium term forecasts. The OLS econometric model requires an econometric verification, which shows the conditions under which the model works and is valid.

Keywords: Employment; Prognosis; Macroeconomics Employment; Prognosis; Macroeconomics (search for similar items in EconPapers)
JEL-codes: C53 E27 J01 J23 (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:eco:journ1:2017-04-84

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