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Bailey and Dynarski's work cited in Bloomberg article on growing U.S. inequality

Frey says current minority college completion rates predict decline in college-educated Americans

Kimball and unnamed coauthor examine male bias in economics

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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

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Monday, Feb 2
Monica Grant, Free Primary Education & Age of First Birth in Malawi

Using Variation in Response Rates of Demographic Subgroups as Evidence of Nonresponse Bias in Survey Estimates

Archived Abstract of Former PSC Researcher

Peytcheva, E., and Robert M. Groves. 2009. "Using Variation in Response Rates of Demographic Subgroups as Evidence of Nonresponse Bias in Survey Estimates." Journal of Official Statistics, 25(2): 193-201.

Survey researchers frequently compare the demographic distributions of respondents to the corresponding distribution from the target population (often using census data). Many researchers hope that if the respondents in their study have demographic characteristics similar to those of the target population, their research findings do not suffer from nonresponse bias. Hence, it is useful to ask the question whether the nonresponse biases of demographic statistics are predictive of biases in key substantive statistics of the same surveys. A meta-analysis of 23 methodological studies designed to estimate levels of nonresponse bias in statistics of interest was conducted. The data from the 23 studies suggest that the difference between respondent and nonrespondent means for demographic variables is not predictive of the difference between respondent and nonrespondent means for substantive variables of the same survey.

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