Summary information

Study title

Measuring Occupational Closure

Creator

Stuth, Stefan ( Wissenschaftszentrum Berlin für Sozialforschung)

Study number / PID

10.7802/1.1989 (GESIS)

10.7802/1.1989 (DOI)

Data access

Information not available

Series

Not available

Abstract

How are employee’s risk of being temporary employed linked to occupational closure? Stefan Stuth (2017) derived various measures for occupational closure to answer this question. The data set includes these measures for different Dictionaries of occupational titles in Germany for the years 2000, 2004, and 2007 (KldB 1992 with 4 digits, KldB 1992 with 3 digits, KldB 2010 with 5 digits). The closure measures provided by the data are:
1) Credentialism. Stuth calculates a "credential inflation index (CIX)" which relates the number of all newly awarded occupation-specific credentials to the number of employees in the respective occupation.
2) Standardization. This measure indicates whether credentials are standardized on the school/university level, the level of states or on the federal level.
3) Licensure. The indicator measures the licensure of tasks.
4) Title protection. The indicator measures the legal protection of occupational titles.
5) Occupational specificity. The measure indicates whether occupational incumbents performing highly specialized tasks or whether they are generalist and do a wide range of tasks.
6) Task-niches. The measure indicates whether occupational incumbents performing tasks that are only rarely performed by members from other occupations or whether they are doing tasks that are common for most occupations.
7) Occupational associations. This indicator states whether occupations are represented by associations that lobby on the behalf of their members.
8) Occupation-specific trade unions. The measure indicates whether occupational unions like the train-driver association (GDL) have the right to collective bargain on behalf of the occupational incumbents within firms.
Some control variables are also included.

Topics

Not available

Methodology

Data collection period

Not available

Country

Deutschland

Time dimension

Longitudinal (repeated cross-section)

Analysis unit

Not available

Universe

Working population in the German Microcensus

Sampling procedure

Not available

Kind of data

Not available

Data collection mode

Aggregation

Access

Publisher

GESIS Data Archive for the Social Sciences

Publication year

2020

Terms of data access

Restricted Access - To get access to the research data, the original data depositor's consent is needed.

Related publications

Not available