Publications: Statistical Methods (KEM)
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Analysing establishment survey non-response using administrative data and machine learning
Küfner, B., Sakshaug, J. & Zins, S. (2022): Analysing establishment survey non-response using administrative data and machine learning. In: Journal of the Royal Statistical Society. Series A, Statistics in Society, Vol. 185, No. Suppl. 2, p. S310-S342. DOI:10.1111/rssa.12942
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Establishment survey participation during the COVID-19 pandemic
Küfner, B., Sakshaug, J. & Zins, S. (2022): Establishment survey participation during the COVID-19 pandemic. In: Journal for labour market research, Vol. 56. DOI:10.1186/s12651-022-00321-8
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FDI and onshore job stability: Upgrades, downgrades, and separations in multinationals
Körner, K., Borrs, L. & Eppelsheimer, J. (2023): FDI and onshore job stability: Upgrades, downgrades, and separations in multinationals. In: European Economic Review, Vol. 152. DOI:10.1016/j.euroecorev.2022.104332
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Observing many researchers using the same data and hypothesis reveals a hidden universe of uncertainty
Breznau, N., Rinke, E., Wuttke, A., Storz, N., Wolf, C., Ignácz, Z., Winter, F., Hunger, S., Tibajev, A., Hochman, O., Werner, H., Malancu, N., Sonntag, N., Langenkamp, A., Wagemans, F., Hirsch, M., Voicu, B., Maldonado, L., Vogtenhuber, S., Lutscher, P., Hootegem, A., Lersch, P., Noll, J., Kurti Sinatra, D., Linden, M., Kuk, J., Assche, J., Kolb, J., Wiernik, B., Löbel, L., Merhout, F., Burger, K., Otte, G., Damian, E., Nygård, O., Connelly, R., Nüst, D., Eger, M., Neunhoeffer, M., Ellerbrock, S., Moya, C., Burgdorf, K., Schulte-Cloos, J., Bostic, A., Micheli, L., Bohman, A., Prosser, C., Gnambs, T., Merk, S., Heisig, J., Mijs, J., Gummer, T., Mellon, J., Groß, M., Meierrieks, D., Godefroidt, A., Meeusen, C., Gessler, T., McWagner, K., Gavras, K., McManus, P., Forster, A., Mayorga, O., Grömping, M., Mayerl, J., Schumann, S., Steiber, N., Stroppe, A., Schmiedeberg, C., Jungkunz, S., Meyer, D., Stiers, D., Schneider, J., Steiner, N., Raes, L., Staudt, A., Schmidt-Catran, A., Sleegers, W., Schmidt, K., Seuring, J., Schmidt, R., Schunck, R., Schlueter, E., Wehl, N., Schieferdecker, D., Zins, S., Schaeffer, M., Zhang, N., Schachter, A., Huth, N., Sand, G., Hjerm, M., Samuel, R., Brzozowska, Z., Ropers, G., Madia, J., Rogers, J., Kleinert, M., Roets, A., Kołczyńska, M., Ramos, M., Busch, K., Ralston, K., Czymara, C., Schoonvelde, M., Carlos-Castillo, J., Kauff, M., Pechenkina, A., Jungmann, N., Chan, N., Hellmeier, S., Hadjar, A., Edelmann, A., Jacobs, L., Gayle, V., Gaasendam, C., Nguyen, H., Forke, A., Teltemann, J., Adem, M., Stojmenovska, D., Vagni, G., Jaeger, B., Silber, H., Jacobsen, J., Sternberg, S., Bobzien, L., Ziller, C., Blumenberg, J., Hövermann, A., Hunkler, C., Marahrens, H., Mader, M., Blinzler, K., Klinger, J., Biegert, T., Christmann, P., Bethke, F., Bol, T., Berthold, A., Heyne, S., Berning, C., Striessnig, E., Bernauer, J., Martinez, P., Benoit, V., Żółtak, T., Baute, S., Adriaans, J., Baumann, M., Ecker, A., Bauer, P., Gruber, S., Bauer, G., Tung, B., Balzer, D., Yamada, Y., Bahnsen, O., Martin, N., Azevedo, F., Schupp, J., Auer, D., Ochsenfeld, F., Andersen, H., Kunißen, K. & Alvarez-Benjumea, A. (2022): Observing many researchers using the same data and hypothesis reveals a hidden universe of uncertainty. In: Proceedings of the National Academy of Sciences of the United States of America, Vol. 119, No. 44. DOI:10.1073/pnas.2203150119
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Effects of prepaid postage stamps and postcards incentives in a web survey experiment
Haas, G., Volkert, M. & Senghaas, M. (2023): Effects of prepaid postage stamps and postcards incentives in a web survey experiment. In: Field Methods, Vol. 35, No. 3, p. 253-270. DOI:10.1177/1525822X221132401
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Panel “Establishments in the Covid-19 Crisis” – 20/21/22
Backhaus, N., Bellmann, L., Gleiser, P., Hensgen, S., Kagerl, C., Koch, T., König, C., Kleifgen, E., Leber, U., Moritz, M., Pohlan, L., Robelski, S., Roth, D., Schierholz, M., Sommer, S., Stegmaier, J., Tisch, A., Umkehrer, M. & Aminian, A. (2022): Panel “Establishments in the Covid-19 Crisis” – 20/21/22. A longitudinal study in German establishments – waves 1 - 24. (FDZ-Datenreport 09/2022 (en)), Nürnberg, 25 p. DOI:10.5164/IAB.FDZD.2209.en.v1
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Panel 'Betriebe in der Covid-19 Krise' - 20/21/22
Backhaus, N., Bellmann, L., Gleiser, P., Hensgen, S., Kagerl, C., Koch, T., König, C., Kleifgen, E., Leber, U., Moritz, M., Pohlan, L., Robelski, S., Roth, D., Schierholz, M., Sommer, S., Stegmaier, J., Tisch, A., Umkehrer, M. & Aminian, A. (2022): Panel 'Betriebe in der Covid-19 Krise' - 20/21/22. Eine Längsschnittstudie in deutschen Betrieben – Wellen 1 - 24. (FDZ-Datenreport 09/2022 (de)), Nürnberg, 26 p. DOI:10.5164/IAB.FDZD.2209.de.v1
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On-the-job training in the Covid 19 crisis
Bellmann, L., König, C. & Leber, U. (2022): Betriebliche Weiterbildung in der Covid-19-Krise. In: WSI-Mitteilungen, Vol. 75, No. 6, p. 479-486. DOI:10.5771/0342-300X-2022-6-479
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Challenges in Measuring Utility for Fully Synthetic Data
Drechsler, J. (2022): Challenges in Measuring Utility for Fully Synthetic Data. In: J. Domingo-Ferrer & M. Laurent (Hrsg.) (2022): Privacy in Statistical Databases 2022, p. 220-233. DOI:10.1007/978-3-031-13945-1_16
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Mindestlohnbeschäftigte in der Corona-Pandemie – Sonderauswertung zu den Folgen der Corona-Pandemie für Beschäftigte im Mindestlohnbereich
Jaenichen, U. (2022): Mindestlohnbeschäftigte in der Corona-Pandemie – Sonderauswertung zu den Folgen der Corona-Pandemie für Beschäftigte im Mindestlohnbereich. (IAB-Forschungsbericht 12/2022), Nürnberg, 56 p. DOI:10.48720/IAB.FB.2212
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Weighting of the CoV-Study of the IAB-BAMF-SOEP Refugee Survey
Vallizadeh, E. & Zins, S. (2022): Gewichtung der CoV-Studie der IAB-BAMF-SOEP-Befragung von Geflüchteten. (SOEP Survey Papers. Series C 1190), Berlin, 7 p.
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The wage and career consequences of temporary employment in Europe
Latner, J. & Saks, N. (2022): The wage and career consequences of temporary employment in Europe. Analysing the theories and synthesizing the evidence. In: Journal of European Social Policy, Vol. 32, No. 5, p. 514-530. DOI:10.1177/09589287221106969
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Controlling Privacy Loss in Sampling Schemes: An Analysis of Stratified and Cluster Sampling
Bun, M., Drechsler, J., Gaboardi, M., McMillan, A. & Sarathy, J. (2022): Controlling Privacy Loss in Sampling Schemes: An Analysis of Stratified and Cluster Sampling. In: L. Elisa Celis (Ed.) (2022): 3rd annual Symposium on Foundations of Responsible Computing (FORC), p. 1-24. DOI:10.4230/LIPIcs.FORC.2022.1
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Teilhabechancengesetz: Wie das IAB die Perspektive der Geförderten ergründet
Schludi, M., Wenzig, C. & Hülle, S. (interviewte Person) (2022): Teilhabechancengesetz: Wie das IAB die Perspektive der Geförderten ergründet. (Interview mit Sebastian Hülle und Claudia Wenzig). In: IAB-Forum No. 29.06.2022 Nürnberg. DOI:10.48720/IAB.FOO.20220629.01
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Panel Lebensqualität und Teilhabe – Feld- und Methodenbericht der Welle 1
Hülle, S., Achatz, J., Coban, M., Friedrich, M., Gricevic, Z., Kiesel, M., Kleinemeier, R., Meß, A., Schels, B., Trappmann, M., Wagemann, U., Wenzig, C., Wolff, J., Zabel, C. & Zins, S. (2022): Panel Lebensqualität und Teilhabe – Feld- und Methodenbericht der Welle 1. (IAB-Forschungsbericht 08/2022), Nürnberg, 148 p. DOI:10.48720/IAB.FB.2208
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Augmenting survey data with digital trace data: Is there a threat to panel retention?
Trappmann, M., Haas, G., Malich, S., Keusch, F., Bähr, S., Kreuter, F. & Schwarz, S. (2023): Augmenting survey data with digital trace data: Is there a threat to panel retention? In: Journal of survey statistics and methodology, Vol. 11, No. 3, p. 541-552. DOI:10.1093/jssam/smac023
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The wage effects of offshoring to the East and West: evidence from the German labor market
Körner, K. (2023): The wage effects of offshoring to the East and West: evidence from the German labor market. In: Review of world economics, Vol. 159, No. 2, p. 399-435. DOI:10.1007/s10290-022-00471-4
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Nonparametric Differentially Private Confidence Intervals for the Median
Drechsler, J., Globus-Harris, I., McMillan, A., Sarathy, J. & Smith, A. (2022): Nonparametric Differentially Private Confidence Intervals for the Median. In: Journal of survey statistics and methodology, Vol. 10, No. 3, p. 804-829. DOI:10.1093/jssam/smac021
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Accuracy Gains from Privacy Amplification Through Sampling for Differential Privacy
Hu, J., Drechsler, J. & Kim, H. (2022): Accuracy Gains from Privacy Amplification Through Sampling for Differential Privacy. In: Journal of survey statistics and methodology, Vol. 10, No. 3, p. 688-719. DOI:10.1093/jssam/smac012
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Dokumentation und Codebuch für das Hochfrequente Online Personen Panel "Leben und Erwerbstätigkeit in Zeiten von Corona" (IAB-HOPP, Welle 1-8)
Volkert, M., Haas, G., Zins, S., Bellmann, L., Dummert, S., Haensch, A., Hensgen, S., Ludsteck, J., Müller, B., Müller, D., Osiander, C., Schmidtke, J., Stephan, G., Trahms, A. & Wayment, H. (2022): Dokumentation und Codebuch für das Hochfrequente Online Personen Panel "Leben und Erwerbstätigkeit in Zeiten von Corona" (IAB-HOPP, Welle 1-8). (FDZ-Datenreport 04/2022 (de)), Nürnberg, 39 p. DOI:10.5164/IAB.FDZD.2204.de.v1