The Impact of AI Technology on Mothers' Labor Participation — An Empirical Analysis Based on CFPS Data

Abstract

[Objective]This research endeavors to examine the influence of artificial intelligence technology on mothers' labor participation. [Methods]Drawing on data from the China Family Panel Studies (CFPS) spanning from 2010 to 2020, it deploys the Ordinary Least Squares (OLS) regression model, the Fixed Effects (FE) model, and the Logistic regression model (Logit). The construction principles and methodologies of these models are elaborated. A thorough analysis of the regression results is carried out, and robustness tests are implemented to validate the findings.[Results] The application of AI technology exhibits a significant positive impact on mothers' labor participation. The roles of various control variables vary under different models. [Conclusion] This study offers a crucial reference for understanding labor market changes in the AI era and formulating policies.