title: Analyses of public use decennial census data with multiply imputed industry and occupation codes.
abstract: "This paper gives a brief introduction to multiple imputation for handling non-response in surveys.  We then describe a recently completed project in which multiple imputation was used to recalibrate industry and occupation codes in 1970 U.S. census public use samples to the 1980 standard. Using analyses of data from the project, we examine the utility of analysing a large data set having imputed values compared with analysing a small data set having true values, and we provide examples of the amount by which variability is underestimated by using just one imputation rather than multiple imputations."
authors.forename: N
authors.initials: N
authors.lastname: Schenker
authors.forename: D J
authors.initials: DJ
authors.lastname: Treiman
authors.forename: L
authors.initials: L
authors.lastname: Weidman
mesh_terms: D000569:Americas; D019352:Censuses; D003625:Data Collection; D003710:Demography; D019049:Developed Countries; D004467:Economics; D001330:Electronic Data Processing; D006280:Health Workforce; D007221:Industry; D008722:Methods; D009656:North America; D009790:Occupations; D011154:Population Characteristics; D012106:Research; D012107:Research Design; D012494:Sampling Studies; D013223:Statistics as Topic; D014481:United States
keywords: Americas; Census; Data Analysis; Data Files; Demographic Analysis; Developed Countries; Economic Factors; Error Sources; Human Resources; Industry; Macroeconomic Factors; Measurement; Methodological Studies; Nonrespondents; North America; Northern America; Occupations; Population Statistics; Research Methodology; Sampling Studies; Studies; Surveys; United States