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Johnson says PSID's income, wealth, and consumption data allow synergistic research on material living standards

Brown: Evidence indicates increasing minimum wage has a modest negative impact on employment in the short term

Wagner and Heeringa study facets of suicide risk among US Army soldiers

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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 Officers of the Society of Labor Economists

Charlie Brown elected to the Board of Officers of the Society of Labor Economists

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

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More PSC brown bags, Fall 2018

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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