The Impact of Digital Technologies on the Labor Market of Uzbekistan

Abstract

This research article explores the Impact of Digital Technologies on the Labor Market of Uzbekistan"using a comprehensive and robust econometric analysis. Drawing upon the State Statistics Agency's data from 2015 to 2022 for 13 regions in Uzbekistan, the study provides an in-depth examination of how digital technologies have influenced the country's labor market dynamics. Utilizing a total of 104 observations, we applied advanced econometric models, including the Pooled OLS estimator (POLSE), Fixed effects estimator (FEE), and Random effects estimator (REE), to assess the impacts accurately. Key analytical techniques employed in this study include the evaluation of the Gauss-Markov conditions and the implementation of Breusch-Pagan, Shapiro-Wilk, and Durbin Watson tests within the Pooled OLS framework. Additionally, our approach involved a thorough exploration of the relationships between dependent and independent variables, supported by the analysis of correlation linkages and graphical matrix methods, as well as a review of the state of descriptive statistical processes. A critical aspect of our methodology was identifying the most suitable model for our analysis. This involved using the Hausman test to effectively differentiate and select between the Fixed effects estimator and Random effects estimator models. Our findings provide significant insights into how digital technologies have reshaped the labor market in Uzbekistan, offering valuable implications for policymakers, businesses, and scholars in the field of labor economics and digital transformation.