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Synthetic Data Generation for Small Area Estimation

a PSC Research Project

Investigators:   Joseph Walter Sakshaug, Trivellore Raghunathan

This project aims to develop and evaluate methodology to create multiple fully-synthetic micro-datasets for the purpose of performing small area estimation. We propose to use years 2004-2006 of the National Health Interview Survey as the testbed for this research with the aim of producing public-use synthetic datasets. In addition, we propose to evaluate the validity of the synthetic data approach by comparing small area estimates with the synthetic data and the observed data.

Funding Period: 09/01/2009 to 09/29/2011

Country of Focus: USA

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