2014
DOI: 10.3790/schm.134.1.141
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An Overview on the Linked Employer-Employee Data of the Institute for Employment Research (IAB)

Abstract: The Linked Employer-Employee Data (LIAB) of the Institute for Employment Research (IAB) have proven to be a rich and valuable research for empirical research in economics, the social sciences, and statistics. Over the years, the LIAB data have been revised and several data models have been released. This article provides an overview of the currently available versions of the LIAB data and tries to delimitate them from older versions.

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Cited by 20 publications
(17 citation statements)
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“…A large body of economic research on rent sharing suggests that they do (Card et al, 2016 for a review). To validate this step in the causal process that I seek to trace, and to obtain an empirical estimate of the strength of this relationship, I exploit the IAB Establishment Panel's potential to be extended to a linked-employer-employee panel data set (Heining et al, 2014). The availability of a longitudinal survey at the establishment level in combination with longitudinal administrative data on all employees covered by social insurance at these very same establishments permits the implementation of the following distributed lag (three-way) fixed-effects panel regression model to address this question:…”
Section: Modeling Strategy and Datamentioning
confidence: 99%
“…A large body of economic research on rent sharing suggests that they do (Card et al, 2016 for a review). To validate this step in the causal process that I seek to trace, and to obtain an empirical estimate of the strength of this relationship, I exploit the IAB Establishment Panel's potential to be extended to a linked-employer-employee panel data set (Heining et al, 2014). The availability of a longitudinal survey at the establishment level in combination with longitudinal administrative data on all employees covered by social insurance at these very same establishments permits the implementation of the following distributed lag (three-way) fixed-effects panel regression model to address this question:…”
Section: Modeling Strategy and Datamentioning
confidence: 99%
“…Information on employees stems from the notification procedure that obliges German employers to report exact daily wages (including bonus payments) and a set of person characteristics to social security institutions (Heining et al, 2014). I restrict the sample to core workers: full-time social insurance covered non-apprentice employees of age 18 to 65 with a gross effective daily wage of at least 20€ 4 who are with their current employer for at least two years.…”
Section: 2mentioning
confidence: 99%
“…These models are fit to a linked employer-employee panel dataset (LIAB) that results from matching data from the IAB Establishment Panel, an employer panel study, with longitudinal administrative data on the full population of the surveyed establishments' employees covered by social security (Heining et al, 2014). In the following, I briefly describe how I operationalize the treatment ( , 4.1), control ( , 4.1), and outcome variables ( , 4.2).…”
Section: Datamentioning
confidence: 99%
“…In all analyses, I use weights to account for the stratified sampling design and weight establishments by their size (number of employees). A replication package documents these and all other coding decisions in full detail and is publicly and permanently available at the Harvard Dataverse (Ochsenfeld, 2018 Information on employees stems from the notification procedure that obliges German employers to report exact daily wages (including bonus payments) and a set of person characteristics to social security institutions (Heining et al, 2014). I restrict the sample to core workers: full-time social insurance covered non-apprentice employees of age 18 to 65 with a gross effective daily wage of at least 20€ 4 who are with their current employer for at least two years.…”
Section: Establishment-level Datamentioning
confidence: 99%