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The Bureau of Labor Statistics delivers cross-sectional weights, but they provide only limited longitudinal weights (PANLWT for linking adjacent months for gross flows analysis). IPUMS-CPS has generated longitudinal weights for several different types of links. These weights are based on the cross-sectional weights and arrived at by iterative proportional fitting (ipf) or raking. For example, we create new weights for the set of people who link from time 1 to time 2 based on the population counts of the people who were eligible to link from time 1 to time 2. The eligible counts are based on the intersections at time 1 of
STATEFIP, AGE, and SEX
HISPAN, AGE, and SEX
RACE, AGE, and SEX
The text was updated successfully, but these errors were encountered:
Think about how to weight matched observations.
From IPUMS:
Weighting Linked Datasets
The Bureau of Labor Statistics delivers cross-sectional weights, but they provide only limited longitudinal weights (PANLWT for linking adjacent months for gross flows analysis). IPUMS-CPS has generated longitudinal weights for several different types of links. These weights are based on the cross-sectional weights and arrived at by iterative proportional fitting (ipf) or raking. For example, we create new weights for the set of people who link from time 1 to time 2 based on the population counts of the people who were eligible to link from time 1 to time 2. The eligible counts are based on the intersections at time 1 of
The text was updated successfully, but these errors were encountered: