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Shaefer on study showing US spends less on poorest children, more on the elderly, than it did 20 years ago

Kruger on how women assess men who display conspicuous consumption

Cech analyzes impacts on employees of "ideal worker norms" and workplace flexibility bias

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Call for Papers: PSID User Conference 2018: Child Wellbeing and Outcomes in Childhood, Young Adulthood, and over the Lifecourse

Martha Bailey elected to the board of the Society of Labor Economists

Patrick Kline wins SOLE's Sherwin Rosen Prize for "Outstanding Contributions in the Field of Labor Economics"

Charlie Brown elected to the board of the Society of Labor Economists

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More PSC brown bags, Fall 2018

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.

Researcher:

Margaret Levenstein

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