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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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ISR's Pasek and Conrad discuss the art and science of predicting election outcomes

a PSC In The News reference, 2016

"Numbers Cruncher" - Scientific American. 11/10/2016.

In another piece examining why the polls got it wrong in the presidential election, Josh Pasek and Fred Conrad look at assumptions, parameters, and other factors in polling models. Conrad says: “There are so many choices in building these models that it is an art in a lot of ways. It all becomes mathematical because it’s implemented in a model. But somehow intuitions are quantified.” While recognizing a "couple sources of systematic error that seemed to push everybody off a bit" in predicting the presidential race, Pasek says that in general the polls were a good barometer. Both researchers, and the others cited in this piece, agree some post-mortem self-examination will help make the election polling field stronger.

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