1. Using datalibweb to study the occupational structure in ECA
Iván Torre (consultant, ECACE)
July 17th, 2017

2. Context
Ongoing project on “Distributional Tensions and the Social Contract in ECA”
Focus on different dimensions of inequality: age inequality, spatial inequality, mobility, labor market inequalities
One possible source of distributional tension: changes in occupations (de-routinization of jobs)
Quite a few studies for USA and Western Europe, but almost none for ECA
Need to gather information on occupations in ECA. ISCO classification of occupations at 4-digit is the ideal standard.

3. Occupational structure in ECA
Starting point: ECAPOV harmonized datasets, module 2.
ISCO 1 DIGIT 

4. Occupational structure in ECA: Georgia
Check harmonized dataset to start with

5. Occupational structure in ECA: Georgia
Need to get the information at a more detailed level

6. Occupational structure in ECA: Georgia
Check do files that harmonize the data to track the original raw data

7. Occupational structure in ECA: Georgia
Need to find this raw dataset and look for q28

8. Occupational structure in ECA: Georgia
Check for tblshinda05_1.dta

9. Occupational structure in ECA: Georgia
Check for q28

10. Occupational structure in ECA: Georgia
4 digit data! 

11. Occupational structure in ECA: Georgia
Just to be sure, we check the actual wording of the question. Need to look for the questionnaire.

12. Occupational structure in ECA: Georgia
Actual wording of question 28
Need to verify which is the actual classification used

13. Occupational structure in ECA: Georgia
Look for technical information about the survey

14. Occupational structure in ECA: Georgia
Look for technical information about the survey
Good! Not exactly ISCO-88 but close. Can use at 3 digit may be

15. Occupational structure in ECA: Georgia
Job done!

16. Routine task intensity (Goos et al. 2014)
Data for
Western Europe
Occupations with high risk of automation represent a very small portion of employment in Georgia, differently to Western Europe