Treffer 17.113
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Auswirkungen des gesetzlichen Mindestlohns aus ökonomischer Perspektive
Bossler, Mario (2019): Auswirkungen des gesetzlichen Mindestlohns aus ökonomischer Perspektive. In: C. Arnold & P. Fischinger (Hrsg.) (2019): Mindestlohn: interdisziplinäre Betrachtungen, Tübingen, Mohr Siebeck S. 43-65.
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Verbreitung und betriebliche Bestimmungsfaktoren von Arbeitszeitkonten
Zapf, Ines (2018): Verbreitung und betriebliche Bestimmungsfaktoren von Arbeitszeitkonten. In: Industrielle Beziehungen, Jg. 25, H. 1, S. 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, Joseph, Arkadiusz Wiśniowski, Diego Perez-Ruiz & Annelies Blom (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 S. 71-93. DOI:10.1007/978-3-030-54936-7_4
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Producing Official Statistics during the COVID-19 Pandemic
Jones, Jacqui, Luisa Ryan, AJ Lanyon, Marie Apostolou, Tanya Price, Corinna König, Marieke Volkert, Joseph Sakshaug, Dane Mead, Helen Baird, Duncan Elliott & Craig H. McLaren (2023): Producing Official Statistics during the COVID-19 Pandemic. In: G. Snijkers, M. Bavdaž, S. Bender, S. MacFeely, J. Sakshaug, K. J. Thompson & A. v. Delden (Hrsg.) (2023): Advances in Business Statistics, Methods and Data Collection, S. 225-264.
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Estimating the Measurement Effects of Mixed Modes in Longitudinal Studies
Cernat, Alexandru & Joseph Sakshaug (2021): Estimating the Measurement Effects of Mixed Modes in Longitudinal Studies. Current Practice and Issues. In: P. Lynn (Ed.) (2021): Advances in Longitudinal Survey Methodology, S. 227-249.
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Measuring and controlling for non-consent bias in linked survey and administrative data
Sakshaug, Joseph (2021): Measuring and controlling for non-consent bias in linked survey and administrative data. In: A. Y. Chun, M. D. Larsen, G. Durrant & J. Reiter (Eds.) (2021): Administrative records for survey methodology, Hoboken, Wiley S. 155-178.
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Arbeit hat Zukunft - auch digital
Weber, Enzo (2017): Arbeit hat Zukunft - auch digital. In: Arbeit und Arbeitsrecht, Jg. 65, H. 11, S. 628.
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Investigating the use of nurse paradata in understanding nonresponse to biological data collection
Pashazadeh, Fiona, Alexandru Cernat & Joseph Sakshaug (2020): Investigating the use of nurse paradata in understanding nonresponse to biological data collection. In: K. Olson, J. D. Smyth, J. Dykema, A. Holbrook, F. Kreuter & B. T. West (Eds.) (2020): Interviewer effects from a total survey error perspective.
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Evaluations of the measurement of the concepts 'Political Satisfaction' and 'Quality of state services'
Pirralha, André & Wiebke Weber (2014): Evaluations of the measurement of the concepts 'Political Satisfaction' and 'Quality of state services'. (RECSM Working paper 40), Barcelona, 22 S.
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Digitales Präsenzverhalten: Konzeptvorstellung und erste explorative Analysen (im Erscheinen)
Hipp, Lena, Yvonne Lott, Anja Abendroth, Tanja Carstensen & Sandra Dummert (2025): Digitales Präsenzverhalten: Konzeptvorstellung und erste explorative Analysen (im Erscheinen). In: Schweizerische Zeitschrift für Soziologie.
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Adaptive Subjekte: Schmerz
Brodersen, Folke, Doris Pokitsch, Stefan Röhrer, Noemi Trucco, Bettina Bredereck, Holger Herma & Marco Ott (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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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, Lisa, Lutz Bellmann & Olaf Hübler (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 S.
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Methods to Estimate Causal Effects
Collischon, Matthias (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, Jg. 73, H. 4, S. 713 -735. DOI:10.5771/0038-6073-2022-4-713