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Buchmueller says employee wages are hit harder than corporate profits by rising health insurance costs

Davis-Kean et al. link children's self-perceptions to their math and reading achievement

Yang and Mahajan examine how hurricanes impact migration to the US

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Pamela Smock elected to PAA Committee on Publications

Viewing the eclipse from ISR-Thompson

Paula Fomby to succeed Jennifer Barber as Associate Director of PSC

PSC community celebrates Violet Elder's retirement from PSC

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Next Brown Bag

Mon, Sept 11, 2017, noon:
Welcoming of Postdoctoral Fellows: Angela Bruns, Karra Greenberg, Sarah Seelye and Emily Treleaven

Margaret Levenstein

Levenstein on the use of synthetic administrative data to protect confidentiality

a PSC In The News reference, 2015

"How Fake Data Could Protect Real People’s Privacy" - The Atlantic. 07/30/2015.

Maggie Levenstein discusses how synthetic datasets allow researchers to study social systems without compromising individual identities. To create synthetic census data, for example, researchers feed original confidential census data into a complex statistical model that generates a simulated population that has the same general features as the original data. Verification analyses are used to ensure that analytic results on the synthetic data are also true for the original data. “The validation is a way of making sure that the assumptions that were built into the synthetic data are not driving the results, as opposed to the thing that the person is trying to study,” said Levenstein.


Margaret Levenstein

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