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1.
Demography ; 33(1): 111-32, 1996 Feb.
Article in English | MEDLINE | ID: mdl-8690135

ABSTRACT

Using data on employed men from the 1980 and 1991 South African Censuses, we analyze the determinants of occupational status and income. Whites are found to have much higher occupational status, and especially income, than members of other racial groups. Most of the racial differentials in occupational status con be explained by racial differences in the personal assets that determine occupational attainment (especially education), but only a much smaller fraction of the White/non-White income differential can be so explained. Despite a modest reduction between 1980 and 1991 in the role of race in socioeconomic attainment, the overall picture shows more stability than change.


Subject(s)
Cultural Diversity , Ethnicity/statistics & numerical data , Income , Occupations/statistics & numerical data , Adult , Black or African American/statistics & numerical data , Asia/ethnology , Black People , Educational Status , Humans , Male , Middle Aged , Social Class , South Africa/epidemiology , White People/statistics & numerical data
2.
J R Stat Soc Ser C Appl Stat ; 42(3): 545-56, 1993.
Article in English | MEDLINE | ID: mdl-12157990

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."


Subject(s)
Censuses , Data Collection , Demography , Electronic Data Processing , Industry , Methods , Occupations , Statistics as Topic , Americas , Developed Countries , Economics , Health Workforce , North America , Population Characteristics , Research , Research Design , Sampling Studies , United States
4.
AJS ; 71(6): 651-64, 1966 May.
Article in English | MEDLINE | ID: mdl-5952362
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