Total hits 17.213
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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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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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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.
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Adaptive Subjekte: Schmerz
Brodersen, F., Pokitsch, D., Röhrer, S., Trucco, N., Bredereck, B., Herma, H. & Ott, M. (2025): Adaptive Subjekte: Schmerz. In: F. Brodersen, D. Pokitsch, S. Röhrer & N. Trucco (Hrsg.) (2025 ): Adaptive Subjekte. Linking Collaboration and Contradiction (im Erscheinen).
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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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The Gender Pay Gap in University Student Internships (im Erscheinen)
Antoni, M., Gerner, H., Jäckle, R. & Schwarz, S. (2025): The Gender Pay Gap in University Student Internships (im Erscheinen). In: German Economic Review.
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A Research Note on the pitfalls of sample selection and what (not) to control for in gender wage gap estimations (im Erscheinen)
Collischon, M. (2026): A Research Note on the pitfalls of sample selection and what (not) to control for in gender wage gap estimations (im Erscheinen). In: Soziale Welt.
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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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Auswirkungen des gesetzlichen Mindestlohns aus ökonomischer Perspektive
Bossler, M. (2019): Auswirkungen des gesetzlichen Mindestlohns aus ökonomischer Perspektive. In: C. Arnold & P. Fischinger (Hrsg.) (2019): Mindestlohn: interdisziplinäre Betrachtungen, Tübingen, Mohr Siebeck p. 43-65.
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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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Methods to Estimate Causal Effects
Collischon, M. (2022): Methods to Estimate Causal Effects. An Overview on IV, DiD and RDD and a Guide on How to Apply them in Practice. In: Soziale Welt, Vol. 73, No. 4, p. 713 -735. DOI:10.5771/0038-6073-2022-4-713
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Feeling Observed? A Field Experiment on the Effects of Intense Survey Participation on Job Seekers' Labour Market Outcomes (im Erscheinen)
Stephan, G., Hetschko, C., Schmidtke, J., Eid, M. & Lawes, M. (2025): Feeling Observed? A Field Experiment on the Effects of Intense Survey Participation on Job Seekers' Labour Market Outcomes (im Erscheinen). In: ILR review.