Skip to contents

Just an example data frame to show how the package can be used to translate between schemas.

Format

Data Frame

Details

The codebook for the columns is:

  • isco68: The ISCO68 class schema in 4-digits.

  • isco88: The ISCO88 class schema in 4-digits.

  • isco88com: The ISCO88COM class schema in 4-digits.

  • isco08: The ISCO08 class schema in 4-digits.

  • emplno: Number of subordinates, if there are any. If 0 employees, the number is 0 and not an NA, as it should be in your data for using DIGCLASS.

  • self_employed: A numeric vector indicating whether each individual is self-employed (1) or an employee (0).

  • is_supervisor: A numeric vector indicating whether each individual is a supervisor (1, e.g. responsible for other employees) or not (0).

  • control_work: A likert-scale type question from 0 to 10 where 0 is whether an individual has no control over their work/organisation decisions and 10 is complete control over work/organization decisions. For an example, see the variable iorgact in the European Social Survey.

  • control_daily: A likert-scale type question from 1 to 4 where 1 means complete control to decide how their own daily work is/was organised and 4 means no control to decide how their own daily work is/was organised. For an example, see the variable orgwrk in the European Social Survey. Another example is recoding the variable wkdcorga from the European Social Survey such that 8-10 is 1, 5-7 is 2, 2-4 is 3 and 0-1 is 4.

  • work_status: This is the same as self_employed but has non-employed respondents coded as 2. The unique values are 1 = self_employed, 0 = employee and 2 = non employed. This variable was constructed using the variable emplrel and mainact for the unemployed.

  • main_activity: A numeric vector where 1 = respondent is working, 2 = respondent is in education, 3 = respondent is disabled , 4 = respondent has no paid work (household work, taking care of children, etc..) and 5 = respondent is retired. This variable can be recoded using the mainact variable from the European Social Survey.