Treffer 17.287
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The Effects of Biological Data Collection in Longitudinal Surveys on Subsequent Wave Nonresponse
Pashazadeh, F., Alexandru Cernat & Joseph Sakshaug (2021): The Effects of Biological Data Collection in Longitudinal Surveys on Subsequent Wave Nonresponse. In: P. Lynn (Ed.) (2021): Advances in Longitudinal Survey Methodology, S. 100-121.
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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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Wie der mediale Diskurs über Armut von den Betroffenen wahrgenommen wird
Hirseland, Andreas & Stefan Röhrer (2024): Wie der mediale Diskurs über Armut von den Betroffenen wahrgenommen wird. Affektpolitik auf dem Rücken der Armen? In: A. Kerle, F. Kessl & A. Knecht (Hrsg.) (2024): Armutsdiskurse. Perspektiven aus Medien, Politik und Sozialer Arbeit, S. 159-169. DOI:10.14361/9783839471180-012
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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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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
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Welfare conditionality as administrative burden. The perceived costs of (potential) sanctions and how welfare claimants cope with it (im Erscheinen)
Senghaas, Monika, Magdalena Köppen & Stefan Röhrer (2026): Welfare conditionality as administrative burden. The perceived costs of (potential) sanctions and how welfare claimants cope with it (im Erscheinen). In: Social Policy and Administration.