PASS-ADIAB – Linked Survey and Administrative Data for Research on Unemployment and Poverty

Antoni, Manfred; Bethmann, Arne

doi:10.1515/jbnst-2018-0002

Cited by 14 publications

(9 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Consent rate for linkage to these administrative data is 94% for wave 10 participants aged 15–64. The combined dataset is available to external scientific users as PASS-ADIAB 23 . The most recent version, PASS-ADIAB7515, includes PASS data up to wave 9 and administrative data from 1975 to 2014.…”

Section: Data Collectedmentioning

confidence: 99%

Data Resource Profile: Panel Study Labour Market and Social Security (PASS)

Trappmann

Bähr

Beste

et al. 2019

International Journal of Epidemiology

View full text Add to dashboard Cite

Section: Data Collectedmentioning

confidence: 99%

Data Resource Profile: Panel Study Labour Market and Social Security (PASS)

Trappmann

Bähr

Beste

et al. 2019

International Journal of Epidemiology

View full text Add to dashboard Cite

“…I use the unique Orbis-ADIAB (Antoni et al 2018) data set, the first large-scale data set to link financial statements from companies in Germany (Bureau van Dijk 2022) to German administrative data. The scope of these data allows me to focus on the subsidiaries of foreign-owned MNCs and compare them with one another.…”

Section: Original Articlementioning

confidence: 99%

Can You Take Your Corporate culture With You? Multinational Companies and the Gender Wage Gap in Germany

Zimmermann

2022

Socius: Sociological Research for a Dynamic World

View full text Add to dashboard Cite

Multinational companies (MNCs) are an important part of the economy and thus for the labor market. However, their impact on various dimensions of inequality remains unclear. The author analyzes whether MNCs influence gender wage inequalities in their host countries. MNCs might transfer their home countries’ cultures by taking their beliefs, practices, and resulting gender inequalities with them into subsidiaries abroad. Company fixed-effects regressions using unique German linked company employee data show that lower gender inequalities in MNCs’ home countries are associated with a lower gender wage gap in Germany. This association is especially strong for MNCs with expatriate managers from the same home country and accounts for 10 percent of the unexplained gender wage gap. These results strongly support the transfer-of-culture hypothesis and shed light on expatriate managers as an underlying mechanism for this transfer of culture.

show abstract

“…Although administrative data are not designed for research purposes, researchers use them extensively because they often contain detailed substantive information (e.g., welfare receipt, employment status, program participation, healthcare utilization). Typically, administrative data are generated longitudinally, which makes them a viable source for studying biographical changes, program evaluation, or simply as a complement to surveys to lower the burden of data collection (Olson 1999;Scholz et al 2006;Antoni and Bethmann 2019). Besides substantive research, linked-administrative data are also used for methodological purposes, such as the assessment of nonresponse and measurement errors (Kreuter et al 2010a;Meyer and Mittag 2019) and for improving survey data that are affected by these errors (Davern et al 2019).…”

Section: Linked Administrative Data As An Auxiliary Data Sourcementioning

confidence: 99%

Evaluating the Utility of Linked Administrative Data for Nonresponse Bias Adjustment in a Piggyback Longitudinal Survey

Büttner

Sakshaug

Vicari

2021

Journal of Official Statistics

View full text Add to dashboard Cite

Nearly all panel surveys suffer from unit nonresponse and the risk of nonresponse bias. Just as the analytic value of panel surveys increase with their length, so does cumulative attrition, which can adversely affect the representativeness of the resulting survey estimates. Auxiliary data can be useful for monitoring and adjusting for attrition bias, but traditional auxiliary sources have known limitations. We investigate the utility of linked-administrative data to adjust for attrition bias in a standard piggyback longitudinal design, where respondents from a preceding general population cross-sectional survey, which included a data linkage request, were recruited for a subsequent longitudinal survey. Using the linked-administrative data from the preceding survey, we estimate attrition biases for the first eight study waves of the longitudinal survey and investigate whether an augmented weighting scheme that incorporates the linked-administrative data reduces attrition biases. We find that adding the administrative information to the weighting scheme generally leads to a modest reduction in attrition bias compared to a standard weighting procedure and, in some cases, reduces variation in the point estimates. We conclude with a discussion of these results and remark on the practical implications of incorporating linked-administrative data in piggyback longitudinal designs.

show abstract

PASS-ADIAB – Linked Survey and Administrative Data for Research on Unemployment and Poverty

Cited by 14 publications

References 8 publications

Data Resource Profile: Panel Study Labour Market and Social Security (PASS)

Data Resource Profile: Panel Study Labour Market and Social Security (PASS)

Can You Take Your Corporate culture With You? Multinational Companies and the Gender Wage Gap in Germany

Evaluating the Utility of Linked Administrative Data for Nonresponse Bias Adjustment in a Piggyback Longitudinal Survey

Contact Info

Product

Resources

About