FOREIGN EXPERIENCE IN ANALYSIS OF LABOR UTILIZATION PROCESSES USING STATISTICAL METHODS

Authors

  • Yusupov Farxod Adamboyevich Researcher of Institute for Staff Advanced Training and Statistical Research, Tashkent, Uzbekistan

DOI:

https://doi.org/10.55640/

Keywords:

labor force, labor market management, regression analysis, panel data analysis, correlation analysis, SWOT analysis, employment policies, labor resources, economic activity, statistical methods.

Abstract

This article explores the use of statistical methods for effective labor force utilization and labor market management in Uzbekistan, based on the experience of foreign countries. The article analyzes the key methods employed in the USA, Canada, European Union countries, and South American nations, such as regression analysis, panel data analysis, correlation analysis, and SWOT analysis. It examines their effectiveness and impact on labor market management. These foreign practices can be useful for analyzing Uzbekistan's labor market, improving employment policies, and making better use of labor resources.

 

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References

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Published

2025-11-06

Issue

Vol. 4 No. 10 (2025): Journal of Multidisciplinary Sciences and Innovations

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Authors retain the copyright of their manuscripts, and all Open Access articles are disseminated under the terms of the Creative Commons Attribution License 4.0 (CC-BY), which licenses unrestricted use, distribution, and reproduction in any medium, provided that the original work is appropriately cited. The use of general descriptive names, trade names, trademarks, and so forth in this publication, even if not specifically identified, does not imply that these names are not protected by the relevant laws and regulations.

How to Cite

FOREIGN EXPERIENCE IN ANALYSIS OF LABOR UTILIZATION PROCESSES USING STATISTICAL METHODS. (2025). Journal of Multidisciplinary Sciences and Innovations, 4(10), 83-91. https://doi.org/10.55640/

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