1. Educational Fertility Di ff erentials by Occupational Status and Industry: Integrated Public Use Micro-Sample (IPUMS) census data from four European countries EPC, Barcelona 2008 Bilal Barakat and Wolfgang Lutz Vienna Institute of Demography, Austrian Academy of Sciences World Population Program, IIASA (International Institute for Applied Systems Analysis)

2. Blindtext für Fußzeile "Titel der Präsentation" education and fertility aggregate educational fertility differentials are well- established mechanism unclear: – status? income? attitudes? behaviour? work load ? confounded by high correlation of education with: – income, occupational status, kind of work done, etc.

3. Blindtext für Fußzeile "Titel der Präsentation" Question Do educational fertility differentials persist within occupation/industry groups? problem: need very large sample to capture full spread incl. university- trained construction workers and primary-dropout professionals

4. Blindtext für Fußzeile "Titel der Präsentation" Data Source 8 censuses: Austria 1991, 2001; Greece 1991, 2001; Hungary 1990, 2001; Romania 1992, 2002 harmonized and integration by Minnesota Population Center (MPC) for IPUMS samples of 5%-10% of complete census main focus on women aged 45-54 in 2001-02 census round 25k - 80k observations in each country

5. Blindtext für Fußzeile "Titel der Präsentation" data - key variables – age, sex: chose only women aged 45-54 – # of children ever born (CEB) – % childless (PCL) – highest level of education – occupation group – industry

6. Blindtext für Fußzeile "Titel der Präsentation" education alone (women aged 45-54)

7. Blindtext für Fußzeile "Titel der Präsentation" education by occupation - example Legislators, Senior Officials & Managers (women aged 45-54)

8. Blindtext für Fußzeile "Titel der Präsentation" education by occupation - example Professionals

9. Blindtext für Fußzeile "Titel der Präsentation" education by occupation - example Technicians and Associate Professionals

10. Blindtext für Fußzeile "Titel der Präsentation" education by occupation - example Clerks / Service workers and shop and market sales

11. Blindtext für Fußzeile "Titel der Präsentation" education by occupation - example Skilled agricultural and fishery workers

12. Blindtext für Fußzeile "Titel der Präsentation" education by occupation - example Crafts and related trades workers

13. Blindtext für Fußzeile "Titel der Präsentation" education by occupation - example Plant and machine operators / Elementary occupations

14. Blindtext für Fußzeile "Titel der Präsentation" education by industry - example Agriculture, Fishing & Forestry

15. Blindtext für Fußzeile "Titel der Präsentation" education by industry - example Manufacturing

16. Blindtext für Fußzeile "Titel der Präsentation" education by industry - example Construction & Mining

17. Blindtext für Fußzeile "Titel der Präsentation" education by industry - example Utilities (electricity, gas, water) / Transportation & communications

18. Blindtext für Fußzeile "Titel der Präsentation" education by industry - example Wholesale and retail trade

19. Blindtext für Fußzeile "Titel der Präsentation" education by industry - example Hotels & Restaurants

20. Blindtext für Fußzeile "Titel der Präsentation" education by industry - example Financial services and insurance / Real estate & business services

21. Blindtext für Fußzeile "Titel der Präsentation" education by industry - example Public Administration & Defense

22. Blindtext für Fußzeile "Titel der Präsentation" education by industry - example Education, Health & Social Work

23. Blindtext für Fußzeile "Titel der Präsentation" Highest fertility occupations (detailed) - Greek example high fertility occupations Greece, graduates (women 45-54, 2001 census)

24. Blindtext für Fußzeile "Titel der Präsentation" Lowest fertility occupations (detailed) - Greek example low fertility occupations Greece, graduates (women 45-54, 2001 census)

25. Blindtext für Fußzeile "Titel der Präsentation" illustrations of further possible analyses: pseudo-cohorts comparing – women aged 25-34 in 1990s census round – women aged 35-44 in 2000s census round tempo differentials by education catch-up pattern differs by country

26. Blindtext für Fußzeile "Titel der Präsentation" illustrations of further possible analyses: pseudo-cohorts

27. Blindtext für Fußzeile "Titel der Präsentation" conclusions education does matter net of occupation and industry but, occupation also matters (e.g. high for teachers); industry less so generally, more education lowers CEB, not entirely accounted for by higher PCL large differences in effect by country, more information needed for interpretation IPUMS type data are very useful for such analyses