Figures & data
Table 1. Comparison of published and actual counts (from ‘raw’ I-CeM data before data cleaning) of business proprietors (employers and own account) in the Censuses 1891–1911.
Table 2. Estimates of the weighted logit regression 1891–1911 used to reallocate non-respondents. The estimates give the probability a response (non-blank employment status); I-CeM RELA relationship codes are simplified to nine categories (CFU is a member of the continuous family unit), working titles relate to assistants or employees of the business head, unknown are those where no RELA code is given (which includes visitors on Census night). *** indicates that estimates are significant at the 99.9% significance level.
Table 3. Numbers of different individuals 1891–1911 (000s) for each stage of estimation: actual (I-CeM) after cleaning (which differ from Table 1); estimates after weighting for non-response bias all years, and correction of employer misallocation bias in 1891. Bold indicates the final consistent estimates. Ranges are given in brackets between upper and lower confidence bounds.
Table 4. Estimates of weighted logit regression for the probability of being an employer; 1901 individual level data used to estimate employer and own account numbers (coefficients and standard errors); and five representative occupational categories with their I-CeM Occode identifier; (base categories male and single).
Table 5. Business proprietors as a percentage of the total economically active population 1891–1911.
Table 6. Evolution of employer numbers by gender for main aggregate sectors. Ranges are given between upper (ub) and lower confidence bounds (lb).
Table 7. Evolution of own account numbers by gender for main aggregate sectors, with upper and lower confidence bounds.
Table 8. Evolution of male employer numbers with confidence bounds for the 10 most frequently occurring male sectors.
Table 9. Evolution of male own account numbers with confidence bounds for the 10 most frequently occurring male sectors.
Table 10. Evolution of female employer numbers with confidence bounds for the 10 most frequently occurring female sectors.
Table 11. Evolution of female own account numbers with confidence bounds for the 10 most frequently occurring female sectors.