Year: 2025
Type: article
Abstract: This study examines the impact of increasing minimum wages, focusing primarily on their effect on employment. Our research involved analyzing the statistics of panel data, testing fixed effects and stationary, conducting linear regression, and integrating the linear regression model with nonlinear model analysis. The results indicate that fluctuations in the employment rate are almost entirely explained by the selected explanatory variables, and there is a significant negative correlation between minimum wages and the employment rate. This study contributes to current research by providing more comprehensive analyses, particularly through the use of nonlinear models, resulting in better-fitting models. We employed multiple fitting methods for time series data and their differentials, combining these results with nonlinear analysis.
Source: Nonlinear Engineering
Authors: Junhan LYU, Tianle Zhai, Zicheng Peng, Xuhang Huang
Language: English
Subfield: Economics and Econometrics
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $1,187
OpenAlex ID: W4411158083