This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 529
Type: Contributed
Date/Time: Wednesday, August 4, 2010 : 10:30 AM to 12:20 PM
Sponsor: Social Statistics Section
Abstract - #307870
Title: Drawing Statistical Inferences from International Census Data
Author(s): Lara L. Cleveland*+ and Michael Davern and Steven Ruggles
Companies: University of Minnesota and NORC and University of Minnesota/MN Population Center
Address: 50 Willey Hall, Minneapolis, MN, 55455,
Keywords: census ; variance estimation ; sampling error ; international microdata

Although census microdata used by social scientists derive from complex samples, researchers commonly apply methods designed for simple random samples. Using full count census data from 4 countries, we evaluate the impact of sample design on standard error estimates of microdata samples from the IPUMS International. We compare replicate standard error estimates from the full count data to estimates from the 10% public use samples using 3 methods: subsample replicate, Taylor series linearization, and estimates using simple random sample assumptions. We suggest that, for some types of analyses, especially those involving highly clustered or stratified variables or for analysis done on subsets of the population, researchers should consider adjusting for such influences in their estimation procedures, and we create a pseudo-strata variable to help identify implicit geographic stratification.

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