A Comprehensive Regression Study on the Drivers of Labour Productivity

Anastasia Shevelova, Ielyzaveta Machukha, Mark Motliuk and Volodymyr Kulinich

MPRA Paper from University Library of Munich, Germany

Abstract: Labour productivity is an essential economic indicator, offering insights into a nation's hourly economic output. Understanding a country's performance is pivotal for assessing policy effectiveness and shaping new strategies. This study aims to identify the primary determinants of labour productivity and analyze their impact. Employing data from the World Bank and ILOSTAT, the linear regression method was used for analysis to uncover significant insights. The findings reveal a positive correlation between urbanization and labour productivity, while employment in agriculture, as expected, exerts a negative influence. Furthermore, a direct relationship was observed between a country's income level and labour productivity, with higher incomes associated with increased productivity. Notably, the unemployment rate exhibits a positive association with labour productivity, and this effect intensifies as income levels decrease.

Keywords: Labour productivity; Country performance; Determinants of labour productivity; Linear regression analysis (search for similar items in EconPapers)
JEL-codes: J0 J01 O4 O40 (search for similar items in EconPapers)
Date: 2023-07-10
New Economics Papers: this item is included in nep-eff, nep-inv and nep-tra
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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:118622

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