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Activity Number: 607
Type: Contributed
Date/Time: Wednesday, August 7, 2013 : 2:00 PM to 3:50 PM
Sponsor: Survey Research Methods Section
Abstract - #308415
Title: Simplified Census Edit and Imputation Based on Statistical Principles
Author(s): Robert Sands*+
Companies: US Census Bureau
Keywords: demographic characteristics ; EM Algorithm ; Missing Data
Abstract:

The U.S. Census system for editing and imputing demographic characteristics of persons in households has worked admirably since the 1960 Census. The current study describes a statistically principled random imputation of the relationship, age and sex (ras) characteristics (items) of 2010 Census household (hh) persons. This system imputes the ras items for all persons in a hh simultaneously. The imputation is independent of any set of edit rules. After identifying the full set of edit rules, the vectors of the ras values of each person in a hh that passed all edits are identified. Probability distributions of valid hh vectors for all completely classified US hhs up to 8 persons is produced. Next, the EM algorithm distributes the partially classified household vectors to the completely classified distribution to produce maximum likelihood estimates. To impute the missing items in a hh, a random draw is made from the distribution of vectors that match the partially classified hh's reported variables. A truth deck of persons, matched between the census and the CCM survey and with missing census items but reported CCM survey items, is used to calculate measures of agreement.


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