| Anderson et al. (2001) |
1996 South African Population Census (10 percent public release sample) |
1996 |
Used by Case and Yogo to estimate the effect of 1991 district school quality (pupil/teacher ratios) on returns to education and employment of 24-34 year olds. |
| Carrillo et al. (2023a) |
1980 Census complete count file (individual-level) |
1980 |
Main analysis sample for education outcomes; uses Magisterial District of birth to identify migrants from White areas and compare them with homeland natives. |
| Carrillo et al. (2023a) |
1996 Census, 10 percent sample |
1996 |
Supplementary analysis of education (Table G.1) and out-migration/in-migration event studies; migrants from White areas identified from previous residence. |
| Carrillo et al. (2023b) |
South African Census 1980, 100 percent individual-level sample (Statistics South Africa, via DataFirst) |
1980 |
Preferred estimation sample: years of schooling, place of birth and residence used to identify White-place migrants and homeland locals and to estimate the main DiD effects and place effects. |
| Carrillo et al. (2023b) |
South African Census 1985 (individual-level, 100 percent sample) |
1985 |
Replicates the schooling DiD with older cohorts and younger cohorts at formalization. |
| Carrillo et al. (2023b) |
South African Census 1991 (individual-level, 100 percent sample) |
1991 |
Replicates schooling results and provides the employment and log income outcomes (Table 3, Figure 7). |
| Carrillo et al. (2023b) |
South African Census 1996 (10 percent sample), incl. previous residence and year of arrival questions |
1996 |
Used for retrospective migration histories to estimate the event study of the timing of moves, the 6.8-year average lag, actual vs simulated exposure, and a post-apartheid replication. |
| Dinkelman (2012) |
1996 Census household-level data on remittance receipts and migrant workers (1995 remittances) |
1995-1996 |
Used to estimate whether drought in 1995 raises remittance receipts, especially in households with a migrant worker, as a proxy for apartheid-era remittance links. |
| Dinkelman (2012) |
1996 South African Census, 10% individual record sample (African individuals, disability, migration, fertility, remittance questions) |
Census 1996; cohorts born 1948-1986; pseudo-panel of residence 1948-1986 |
Provides disability outcomes, last-move migration histories, birth/prior district, fertility and child mortality, which underpin the health and outmigration regressions. |
| Mariotti (2008) |
South African Population Censuses 1970 and 1980 (micro data) |
1970 and 1980 |
Micro data used to document white and black education and occupational attainment, run wage/occupation regressions and the Oaxaca-Blinder decomposition. |
| Mariotti (2009a) |
South African Population Census 1970 (individual-level micro data; separate census for whites/Coloureds/Indians and a shorter one for Africans) |
1970 |
Documents white and African educational attainment by birth cohort, occupational rank and income, and supports regressions of white-collar premium and African occupation rank. |
| Mariotti (2009a) |
South African Population Census 1980 (individual-level micro data) |
1980 |
Provides the 1980 comparison point for occupational rank, incomes and education, used in the stacked 1970/1980 wage regressions and the African occupation-rank regressions. |
| Mariotti (2009b) |
South African Population Census 1970 (individual-level micro data; separate, shorter census for Africans) |
1970 |
Documents white and African educational attainment, occupations, incomes and region, and supports the income and occupation-rank regressions. |
| Mariotti (2009b) |
South African Population Census 1980 (individual-level micro data) |
1980 |
Provides the second wave for comparing white and African occupational rank and wages, and for the stacked wage regression (Table 6) and Table 8. |
| Moll (1993b) |
1980 Census subsample from homelands (Gazankulu, Lebowa, Quaqua, Kangwane, Kwandebele, Ciskei) |
1980 |
A second 'natural experiment' on the union-threat explanation: 9,966 observations whose industry-premia standard deviation is 0.172. |
| Moll (1993b) |
Public use samples of the South African Population Census 1960 and 1970 (microdata) |
1960 and 1970 |
Used to estimate industry premia for white and colored males (African earnings were not collected) and to track the white-colored correlation over time. |
| Moll (1993b) |
Public use samples of the South African Population Census 1980 (microdata) |
1980 |
Main data for Mincerian earnings regressions with 41 industry dummies for white, colored and African males and for occupation-specific samples, yielding the industry wage premia and their standard deviations and correlations. |
| Moll (1996a) |
1980 and 1991 census microdata and 1993 October Household Survey, Central Statistical Service; PSLSD (SALDRU) |
1980, 1991, 1993 |
Acknowledged as data supplied to the research program; the text does not say how they are used in the summarized results. |
| Moll (1996b) |
Population Censuses 1960, 1970 and 1980 (microdata) |
1960, 1970, 1980 |
Microdata used to estimate Mincerian log-earnings regressions and the annual effects of primary and secondary schooling by race, and to compute workforce educational distributions and mean schooling by occupation. |
| Zuberi et al. (2005) |
1991 South African census micro-data (full count) for household structure comparison |
1991 |
Compared with 1996 census to document changes in household size, headship and type by race. |
| Zuberi et al. (2005) |
1991 South African census micro-data and CSS weights, with HSRC aerial/survey adjustments (Report No. 03-01-26, Adjustment for Undercount) |
1991 |
Quantifies the share of the 1991 count from enumeration, survey, aerial photography and demographic inflation, and the resulting sex ratios. |
| Zuberi et al. (2005) |
1996 South African Population Census (full count, 10% and 30% samples of micro-data; Report No. 03-01-18 undercount and 03-01-17 The Count and How It Was Done) |
1996 |
Main data base for fertility, mortality, orphanhood, household structure, education, migration and employment analyses across the volume. |