Developing synthetic microdata through machine learning for firm-level business surveys

Public-use microdata samples often risk re-identification, especially for firm-level data where anonymity is difficult. This paper describes a machine learning model to construct synthetic public-use microdata based on business surveys, preserving statistical properties while ensuring privacy and mitigating re-identification risks.