A Comprehensive Regression Study on the Drivers of Labour Productivity

Shevelova, Anastasia and Machukha, Ielyzaveta and Motliuk, Mark and Kulinich, Volodymyr (2023): A Comprehensive Regression Study on the Drivers of Labour Productivity.

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.

• Item Type: MPRA Paper
• Language: English
• Keywords: Labour productivity, Country performance, Determinants of labour productivity, Linear regression analysis
• Subjects: J - Labor and Demographic Economics > J0 - General; J - Labor and Demographic Economics > J0 - General > J01 - Labor Economics: General; O - Economic Development, Innovation, Technological Change, and Growth > O4 - Economic Growth and Aggregate Productivity; O - Economic Development, Innovation, Technological Change, and Growth > O4 - Economic Growth and Aggregate Productivity > O40 - General

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