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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

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PAA 2015 Annual Meeting: Preliminary program and list of UM participants

ISR addition wins LEED Gold Certification

PSC Fall 2014 Newsletter now available

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

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

Use of Interviewer Judgments about Attributes of Selected Respondents in Post-Survey Adjustments for Unit Nonresponse: An Illustration with the National Survey of Family Growth

Archived Abstract of Former PSC Researcher

Groves, Robert M., James Wagner, and Emilia Peytcheva. 2007. "Use of Interviewer Judgments about Attributes of Selected Respondents in Post-Survey Adjustments for Unit Nonresponse: An Illustration with the National Survey of Family Growth." Joint Statistical Meetings Proceedings, Survey Research Methods,

Postsurvey adjustments based on propensity models are increasingly popular in survey sampling. After examining the how weighting classes based on discretized estimated propensities can act to reduce the mean square error of respondent-based estimates, it is straightforward to focus on the covariance of the estimated propensity, p, and the survey variables, y's. When propensities are related to the y variables, then adjustments are likely to alter the expected value of the adjusted estimates. Because of this fact, it is desirable to examine ways to collect on both respondents and nonrespondents information predictive of the y variables. We refer to these variables as z variables. This paper reports on one initial attempt to do so, in the context of the National Survey of Family Growth. It reviews the paradata structure of the National Survey of Family Growth and presents initial efforts to model such paradata in a useful way for postsurvey adjustment.

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