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Thompson says America must "unchoose" policies that have led to mass incarceration

Axinn says new data on campus rape will "allow students to see for themselves the full extent of this problem"

Frey says white population is growing in Detroit and other large cities


Susan Murphy to speak at U-M kickoff for data science initiative, Oct 6, Rackham

Andrew Goodman-Bacon, former trainee, wins 2015 Nevins Prize for best dissertation in economic history

Deirdre Bloome wins ASA award for work on racial inequality and intergenerational transmission

Bob Willis awarded 2015 Jacob Mincer Award for Lifetime Contributions to the Field of Labor Economics

Next Brown Bag

Monday, Oct 5 at noon, 6050 ISR
Colter Mitchell: Biological consequences of poverty

Synthetic Data Generation for Small Area Estimation

a PSC Research Project [ARCHIVE DISPLAY]

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

This PSC Archive record is displayed for historical reference.

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