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Frey and colleagues outline 10 trends showing scale of America's demographic transitions

Starr says surveys intended to predict recidivism assign higher risk to poor

Prescott and colleagues find incidence of noncompetes in U.S. labor force varies by job, state, worker education

Highlights

ISR addition wins LEED Gold Certification

Call for Proposals: Small Grants for Research Using PSID Data. Due March 2, 2015

PSC Fall 2014 Newsletter now available

Martha Bailey and Nicolas Duquette win Cole Prize for article on War on Poverty

Next Brown Bag

Mon, March 9
Luigi Pistaferri, Consumption Inequality and Family Labor Supply

A survey on survey statistics: What is done and can be done in Stata

Archived Abstract of Former PSC Researcher

Kreuter, Frauke, and Richard L. Valliant. 2007. "A survey on survey statistics: What is done and can be done in Stata." Stata Journal, 7(1): 1-21.

This article will survey issues in analyzing complex survey data and describe some of the capabilities of Stata for such analyses. We will briefly review key elements of survey design and explain the effects of different design features on bias and variance. We compare different methods of variance estimation for stratified and clustered samples and discuss the handling of survey weights. We will also give examples for the practical importance of Stata's survey capabilities.

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