Literature DB >> 12157990

Analyses of public use decennial census data with multiply imputed industry and occupation codes.

N Schenker, D J Treiman, L Weidman.   

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." excerpt

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

Mesh:

Year:  1993        PMID: 12157990

Source DB:  PubMed          Journal:  J R Stat Soc Ser C Appl Stat        ISSN: 0035-9254            Impact factor:   1.864


  4 in total

1.  Bridging between two standards for collecting information on race and ethnicity: an application to Census 2000 and vital rates.

Authors:  Jennifer D Parker; Nathaniel Schenker; Deborah D Ingram; James A Weed; Katherine E Heck; Jennifer H Madans
Journal:  Public Health Rep       Date:  2004 Mar-Apr       Impact factor: 2.792

2.  Multiple imputation to evaluate the impact of an assay change in national surveys.

Authors:  Maya Sternberg
Journal:  Stat Med       Date:  2017-04-16       Impact factor: 2.373

Review 3.  Missing data analysis using multiple imputation: getting to the heart of the matter.

Authors:  Yulei He
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2010-01

4.  Multiple imputation in a large-scale complex survey: a practical guide.

Authors:  Y He; A M Zaslavsky; M B Landrum; D P Harrington; P Catalano
Journal:  Stat Methods Med Res       Date:  2009-08-04       Impact factor: 3.021

  4 in total

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