Measurement and coding of job-related information: Occupation, industry, and skill |
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| Coordinator 1 | Dr Malte Schierholz (LMU Munich) |
| Coordinator 2 | Ms Olga Kononykhina (LMU Munich) |
| Coordinator 3 | Dr Calvin Ge (TNO) |
Occupation coding refers to coding a respondent’s text answer (or the interviewer’s transcription of the text answer) about the respondent’s job into one of many hundreds of occupation codes. Relatedly, many surveys gather data about the person’s industry or her various skills in similar ways. We welcome any papers on how to best measure jobs and job-related information, including, but not limited to:
- measurement of occupations, industries, and skill (e.g., mode, question design, …)
- handling of different occupational and industry classifications (e.g., ISIC, NACE, NAICS, ISCO, ESCO and national classifications)
- problems of coding (e.g., costs, data quality, …)
- techniques for coding (e.g., automatic coding, computer-assisted coding, manual coding, interview coding)
- computer algorithms for coding (e.g., machine learning, LLMs, rule-based, …)
- cross-national and longitudinal issues
- Measurement of derived variables (e.g., ISEI, ESeC, SIOPS, job-exposure matrices, …)
- other methodological aspects related to the measurement and coding of job-related information