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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

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PSC Fall 2014 Newsletter now available

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

Cell collapsing in poststratification

Archived Abstract of Former PSC Researcher

Kim, Jay J., Jianzhu Li, and Richard L. Valliant. 2007. "Cell collapsing in poststratification." Survey Methodology, 33(2): 139-150.

Poststratification is a common method of estimation in household surveys. Cells are formed based on characteristics that are known for all sample respondents and for which external control counts are available from a census or another source. The inverses of the poststratification adjustments are usually referred to as coverage ratios. Coverage of some demographic groups may be substantially below 100 percent, and poststratifying serves to correct for biases due to poor coverage. A standard procedure in poststratification is to collapse or combine cells when the sample sizes fall below some minimum or the weight adjustments are above some maximum. Collapsing can either increase or decrease the variance of an estimate but may simultaneously increase its bias. We study the effects on bias and variance of this type of dynamic cell collapsing theoretically and through simulation using a population based on the 2003 National Health Interview Survey. Two alternative estimators are also proposed that restrict the size of weight adjustments when cells are collapsed.

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