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This article discusses the potential of synthetic data to address data scarcity and its potential applications in healthcare policy analysis. It also presents a case study of how micro-simulation techniques can be used to create a synthesized dataset and test policy options, focusing on the case of health service effects under demographic aging. The process involves imputation techniques to enrich the representative sample from the New Zealand Health Survey with data from the Australian Health Survey and National Primary Medical Care Survey.
