Synthetic Data

Demand for access to data, especially data collected using public funds, is ever growing. At the same time, concerns about disclosure of identities and sensitive information respondents providing are making collectors limit data. Synthetic sets, generated emulate certain key found in actual provide ability draw valid statistical inferences, an attractive framework afford widespread analysis while mitigating privacy confidentiality concerns. The goal this article a review various approaches generating analyzing synthetic inferential justification, limitations approaches, directions future research.