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Miller et al. find benefits of Medicaid for pregnant mothers in 1980s carry over two generations

Starr's findings account for some of the 19% black-white gap in federal sentencing

Frey says suburbs are aging, cities draw millennials

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Highlights

Bailey et al. find higher incomes among children whose parents had access to federal family planning programs in the 1960s and 70s

U-M's campus climate survey results discussed in CHE story

U-M honors James Jackson's groundbreaking work on how race impacts the health of black Americans

U-M is the only public and non-coastal university on Forbes' top-10 list for billionaire production

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Next Brown Bag

Mon, Jan 22, 2018, noon: Narayan Sastry

Matthew D. Shapiro

Shapiro comments of the value of Twitter data for gauging unemployment

a PSC In The News reference, 2014

"The weird Google searches of the unemployed and what they say about the economy" - Washington Post. 05/30/2014.

This story looks at how researchers are using big data — culled from internet browsing histories and social media use — to predict unemployment rates, retail prices, home buying, and more, often before the U.S. releases its official estimates. Matthew Shapiro says: “Statistics serve us really well and are completely essential as benchmarks for where the economy is — or more precisely, has been. But we don’t have a lot of indicators that tell us what’s happening right now, particularly when the economy is changing direction.”

Researcher:

Matthew D. Shapiro

More Media Coverage:

The Guardian. What search engines tell governments about the economic here and now. 6/14/2014.

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