Application of machine learning in econometric research to address missing data issues

The issue of missing data remains a key challenge in econometrics, constraining the accuracy and reliability of research findings. This article explores the application of machine learning methods to address the problem of missing data in econometric studies. Emphasis is placed on the effectiveness of machine learning in the realms of data recovery, classification, regression, and ensemble methods within econometrics.