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Lam looks at population and development in next 15 years in UN commission keynote address

Mitchell et al. find harsh family environments may magnify disadvantage via impact on 'genetic architecture'

Frey says Arizona's political paradoxes explained in part by demography

Highlights

PSC newsletter spring 2014 issue now available

Kusunoki wins faculty seed grant award from Institute for Research on Women and Gender

2014 PAA Annual Meeting, May 1-3, Boston

USN&WR ranks Michigan among best in nation for graduate education in sociology, public health, economics

Next Brown Bag

Monday, April 21
Grant Miller: Managerial Incentives in Public Service Delivery

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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