Suchergebnisse

Background and data portfolioSince 2004, the Research Data Centre of the German Federal Employment Agency at the Institute for Employment Research (RDC-IAB) has been offering comprehensive individual data on employees, unemployed persons, job seekers and participants in active labour market policy programmes for scientific labour market research. For this purpose, data from employer notifications and from different administrative processes in the labour market administration are linked. These administrative data are also combined with survey data. In addition, linked employer-employee data allow simultaneous analyses of the supply and demand sides of the labour market.
Data linkageThe data can be linked using unique identifiers, such as social insurance numbers, client numbers from local employment agencies, or establishment numbers. Since the foundation of the German Record Linkage Center (GRLC) in 2011, the RDC-IAB also applies methods for linking with non-unique and error-prone linkage identifiers like names, addresses and birth dates.
Data accessGerman data protection law classifies the data offered by the RDC-IAB as highly sensitive and strictly regulates their use by external researchers. The RDC-IAB has therefore established various data access modes. Although data can be transferred directly to research institutions in anonymised form, this procedure is generally not effective for linked data, as the loss of information due to the necessary anonymisation would be too great. For this reason, the RDC-IAB focuses on the access modes on-site use and remote data execution. In cooperation with other data centres, RDC-IAB has therefore established on-site data access at currently 16 locations worldwide.

ln jüngerer Zeit werden die Möglichkeiten von Unternehmen, ihre Arbeitnehmer am Unternehmenskapital zu beteiligen, wieder (einmal) intensiver diskutiert. Es ist erstaunlich, dass vorzugsweise gesellschafts- und wirtschaftspolitische Zielsetzungen analysiert werden. Vor allem aber sind die Wirkungsbeziehungen von Beteiligungsmodellen weder theoretisch noch empirisch genügend durchleuchtet.

In diesem Beitrag wollen wir uns mit den Wirkungen von der betrieblichen Vermögensbeteiligung auf das Verhalten von Mitgliedern von Unternehmen beschäftigen. Damit greifen wir einen Wirkungsbereich auf, der von betriebswirtschaftlichen Autoren bislang vernachlässigt wurde und volkswirtschaftlichen Beiträgen verständlicherweise nicht ins Visier geraten konnte: wenn vorzugsweise verteilungspolitische Zielsetzungen im Mittelpunkt stehen, dann werden Wirkungen auf der individuellen Ebene entweder vorausgesetzt oder als irrelevant betrachtet.

Survey researchers are actively seeking powerful auxiliary data sources capable of correcting for possible nonresponse bias in survey estimates of the general population. While several auxiliary data options exist, concerns about their usefulness for addressing nonresponse bias remain. One underutilized—but potentially rich—source of auxiliary data for nonresponse bias adjustment is federal administrative records. While federal records are routinely used to study nonresponse in countries where it is possible to directly link them (via a unique identifier) to population-based samples, such records are not widely used for this purpose in countries which lack a unique identifier to facilitate direct linkage. In this article, we examine the utility of indirectly linked administrative data from a federal employment database for nonresponse bias adjustment in a general population survey in Germany. In short, we find that the linked administrative variables have stronger correlations with the substantive survey variables than do standard paradata variables and that incorporating linked administrative data in nonresponse weighting adjustments reduces relative nonresponse bias to a greater extent than paradata-only weighting adjustments. However, for the majority of weighted survey estimates, including the administrative variables in the weighting adjustment procedure has minimal impact on the point estimates and their variances. We conclude with a general discussion of these findings and comment on the logistical issues associated with this type of linkage relevant to survey practice.

"Die Regulierung der Leiharbeit hatte zunächst das Ziel, die Beschäftigungsstabilität der Leiharbeiter zu gewährleisten. Die schrittweise Deregulierung des Leiharbeitsrechts in den vergangenen Dekaden sollte hingegen dem Flexibilitätsbedürfnis der Entleiher entgegenkommen. Gleichzeitig sollten neue Jobs entstehen. Doch welche Spuren hat die Liberalisierung bei der Beschäftigungsdauer der Leiharbeitnehmer hinterlassen?" (Autorenreferat)

Over the past three decades Germany has repeatedly deregulated the law on temporary agency work by stepwise increasing the maximum period for hiring-out employees and allowing temporary work agencies to conclude fixedterm contracts. These reforms should have had an effect on the employment duration within temporary work agencies. Based on an informative administrative data set we use hazard rate models to examine whether the employment duration has changed in response to these reforms. We find that the repeated prolongation of the maximum period for hiring-out employees significantly increased the average employment duration while the authorization of fixed-term contracts reduced employment tenure. ; In den vergangenen drei Dekaden hat die deutsche Regierung das Leiharbeitsrecht mehrfach dereguliert. Betroffen hiervon waren vor allem die Überlassungshöchstdauer und die Erlaubnis, befristete Arbeitsverträge abzuschließen. Mit administrativen Daten untersuchen wir die Frage, ob die Reformen des Leiharbeitsrechts Einfluss auf die Beschäftigungsdauer in Leiharbeitsfirmen hatten. Mit der Überlassungshöchstdauer sind auch die Beschäftigungsdauern zunächst signifikant gestiegen, wohingegen die Zulassung von befristeten Arbeitsverträgen zu kürzerer Beschäftigung in Leiharbeit geführt hat.

"Die Regulierung der Leiharbeit hatte zunächst das Ziel, die Beschäftigungsstabilität der Leiharbeiter zu gewährleisten. Die schrittweise Deregulierung des Leiharbeitsrechts in den vergangenen Dekaden sollte hingegen dem Flexibilitätsbedürfnis der Entleiher entgegenkommen. Gleichzeitig sollten neue Jobs entstehen. Doch welche Spuren hat die Liberalisierung bei der Beschäftigungsdauer der Leiharbeitnehmer hinterlassen?" (Autorenreferat, IAB-Doku)

Questions on earnings are counted among sensitive topics that often produce high rates of item nonresponse or measurement error. Both types of bias are well documented in the literature and are found to concentrate in the tails of the earnings distribution. In this paper, we explore whether measurement error on earnings could be explained by socially desirable
reporting and whether the error is impacted by interviewer characteristics. Using the linked dataset NEPS-SC6-ADIAB, which contains survey data from the German National Educational Panel Study, Starting Cohort "Adults", linked to administrative earnings records from the German Federal Employment Agency, we analyze the extents of over- and underreporting and the influence of respondent and interviewer characteristics on these behaviors for different quartiles of the earnings distribution. Our results show that the average level of misreporting is relatively low (approximately 6% of median earnings). Our main logistic model reveals that female and more highly educated respondents report significantly more accurately while those with higher earnings misreport to a significantly greater extent. Regarding the impact of personality traits on reporting accuracy, we find significant positive effects for more agreeable respondents and significant negative effects for extraverted respondents. When differentiating by the direction of misreporting, we find, for instance, that women are less likely to overreport across all earnings quartiles. However, the influence of interviewer characteristics is negligible.