- Description
- Codes
- Comparability
- Universe
- Availability
- Questionnaire Text
- Flags
- Source Variables
- Editing Procedure
Description
SUBSAMP allocates each household to one of 100 subsample replicates, randomly numbered from 0 to 99. Each subsample is nationally representative and preserves all stratification of the sample from which it is drawn. Users who need a representative subset of a sample should use SUBSAMP to select their cases. For example, to randomly extract 10 percent of the cases from a sample, select any 10 of the 100 subsamples.
SUBSAMP is a useful tool for carrying out the "subsample replicate" method of standard error estimation. This method involves dividing an IPUMS sample into 100 random subsamples and generating 100 subsample estimates for a given statistic. With these 100 "subsample replicate" estimates, researchers can measure a statistic's variation across all of the subsamples. Due to Census sample designs this method yields a more precise estimate of the standard error of a sample statistic than would be achieved through the application of a theoretical standard error formula. Additional precision in estimating standard errors is generally obtained through the use of replicate weights (see REPWT).
SUBSAMP is also used to estimate design factors for selected variables in each IPUMS file from 1880 to 1980 (the Census Bureau provided design factors for the samples from 1990 onward). Design factors allow researchers to account for the sample design effects of clustering and stratification on standard error estimates. For information about the characteristics of the complete samples for each year, from which these subsamples are drawn, see "Sample Designs" and "Sampling Error."
Codes and Frequencies
Universe
- All households and group quarters.
Availability
- 2023: All samples
- 2022: All samples
- 2021: All samples
- 2020: All samples
- 2019: All samples
- 2018: All samples
- 2017: All samples
- 2016: All samples
- 2015: All samples
- 2014: All samples
- 2013: All samples
- 2012: All samples
- 2011: All samples
- 2010: All samples
- 2009: All samples
- 2008: All samples
- 2007: All samples
- 2006: All samples
- 2005: All samples
- 2004: All samples
- 2003: All samples
- 2002: All samples
- 2001: All samples
- 2000: All samples
- 1990: All samples
- 1980: All samples
- 1970: All samples
- 1960: All samples
- 1950: All samples
- 1940: All samples
- 1930: All samples
- 1920: All samples
- 1910: All samples
- 1900: All samples
- 1880: All samples
- 1870: All samples
- 1860: All samples
- 1850: All samples
- 2023: All samples
- 2022: All samples
- 2021: All samples
- 2020: All samples
- 2019: All samples
- 2018: All samples
- 2017: All samples
- 2016: All samples
- 2015: All samples
- 2014: All samples
- 2013: All samples
- 2012: All samples
- 2011: All samples
- 2010: All samples
- 2009: All samples
- 2008: All samples
- 2007: All samples
- 2006: All samples
- 2005: All samples
- 2000: All samples
- 1990: All samples
- 1980: All samples
- 1970: All samples
- 1930: All samples
- 1920: All samples
- 1910: All samples
Flags
This variable has no flags.Editing Procedure
There is no editing procedure available for this variable.
