Total hits 17.509
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The scars of youth
Schmillen, A. & Umkehrer, M. (2018): The scars of youth. Effects of early-career unemployment on future unemployment experience. In: International Labour Review, Vol. 156, No. 3/4, p. 465-494. DOI:10.1111/ilr.12079
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Labour Mobility in German Establishments during the COVID-19 Crisis: Panel Data Analyses with Special Reference to Short-Time Work and Working from Home
Bellmann, L., Bellmann, L. & Hübler, O. (2023): Labour Mobility in German Establishments during the COVID-19 Crisis: Panel Data Analyses with Special Reference to Short-Time Work and Working from Home. (IZA discussion paper / Forschungsinstitut zur Zukunft der Arbeit 15935), Bonn, 23 p.
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Adaptive Subjekte: Passagen
Pokitsch, D., Brodersen, F., Röhrer, S., Trucco, N., Böing, M., Esau, E., Kibel, J. & Miko-Schefzig, K. (2026): Adaptive Subjekte: Passagen. In: F. Brodersen, D. Pokitsch, S. Röhrer & N. Trucco (Hrsg.) (2026): Adaptive Subjekte. Linking Collaboration and Contradiction, Wiesbaden Springer VS, p. 99-102. DOI:10.1007/978-3-658-49531-2_6
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Differences in school performances between the German States
Bruckmeier, K., Fischer, G. & Wigger, B. (2014): Schulleistungsunterschiede zwischen den deutschen Ländern. In: Wirtschaftsdienst, Vol. 94, No. 6, p. 439-443. DOI:10.1007/s10273-014-1693-7
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When do firms evaluate further training measures?
Bächmann, A., Abraham, M. & Huber, M. (2019): When do firms evaluate further training measures? In: International journal of manpower, Vol. 40, No. 2, p. 190-210. DOI:10.1108/IJM-06-2017-0146
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Distribution of working-time accounts and its establishment-specific determinants
Zapf, I. (2018): Verbreitung und betriebliche Bestimmungsfaktoren von Arbeitszeitkonten. In: Industrielle Beziehungen, Vol. 25, No. 1, p. 51-71. DOI:10.3224/indbez.v25i1.03
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Combining Scientific and Non-scientific Surveys to Improve Estimation and Reduce Costs
Sakshaug, J., Wiśniowski, A., Perez-Ruiz, D. & Blom, A. (2021): Combining Scientific and Non-scientific Surveys to Improve Estimation and Reduce Costs. In: T. Rudas & G. Péli (eds.) (2021): Pathways between social science and computational social science, Springer p. 71-93. DOI:10.1007/978-3-030-54936-7_4
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Integrating survey and learning analytics data for a better understanding of engagement in MOOCs
Samoilova, E., Keusch, F. & Kreuter, F. (2018): Integrating survey and learning analytics data for a better understanding of engagement in MOOCs. In: H. Jiao, R. W. Lissitz & A. V. Wie (Hrsg.) (2018): Data analytics and psychometrics : Informing assessment practices, Charlotte, N.C., Information Age Publishing p. 247-261.
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Are there international differences in individual travel mode choice?
Brunow, S. (2018): Are there international differences in individual travel mode choice? An econometric cross-country study (im Erscheinen). In: Research in Transportation Business & Management.



