Agreement of Self-Reported and Administrative Data on Employment Histories in a German Cohort Study: A Sequence Analysis.

Collecting life course data is increasingly common in social and epidemiological research, either through record linkage of administrative data or by collecting retrospective interview data. This paper uses data on employment histories collected through both strategies, compares the attained samples, and investigates levels of agreements of individual histories. We use data from the German Heinz Nixdorf Recall Study with information on employment histories collected retrospectively from 2011 until 2014 (N = 3059). Administrative data from the German Institute for Employment Research (IAB) were linked to the survey data. After comparing respondents who provide self-reported histories with the subsample of the ones for which administrative data were available, we investigate the agreement of individual employment histories from the two sources (between 1975 and 2010) using sequence analyses. Almost all participants provided survey data on employment histories (97% of the sample), linkage consent was given by 93%, and administrative data were available for 63% of the participants. People with survey data were more likely to be female, to have a higher education, and to work self-employed and in the tertiary sector. The agreement of individual employment histories is high and similar across time, with a median level of agreement of 89%. Slightly lower values exist for women and people working in the tertiary sector, both having more complex histories. No differences exist for health-related factors. In conclusion, it is likely that missing consent and failed record linkage lead to sample differences; yet, both strategies provide comparable and reliable life course data.

[Quo Vadis Data Linkage in Germany? An Initial Inventory]. / Quo vadis Datenlinkage in Deutschland? Eine erste Bestandsaufnahme.

In recent years, linking different data sources, also called data linkage or record linkage, to address scientific questions, is being increasingly used in Germany. However, there are very few published reports and new projects develop the necessary tools independently of each other. Therefore, a team of researchers joined together to exchange their experiences on data linkage and to give suggestions on how linkage could be done for scientists, reviewers as well as members of data privacy boards and ethics committees. It is the aim of this article to assist future projects that want to link German data on an individual level. In addition to the legal framework conditions (data privacy), also examples of types of data linkage, their fields of application und potential pitfalls as well as the methods of preventing them will be described in an application-oriented fashion.