Publikationen - Bereich - EN - IAB - Institut für Arbeitsmarkt- und Berufsforschung

IAB topics

Type of publication

Year of publication

Publications: Statistical Methods (KEM)

Recent Findings from Experiments in Establishment Surveys

Langeland, J., Ridolfo, H., McCarthy, J., Ott, K., Kilburg, D., CyBulski, K., Krakowiecki, M., Vittoriano, L., Potts, M., Küfner, B., Sakshaug, J. & Zins, S. (2023): Recent Findings from Experiments in Establishment Surveys. 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, p. 437-467. DOI:10.1002/9781119672333.ch19
Effects of mixing modes on nonresponse and measurement error in an economic panel survey

Sakshaug, J., Beste, J. & Trappmann, M. (2023): Effects of mixing modes on nonresponse and measurement error in an economic panel survey. In: Journal for labour market research, Vol. 57, accepted on December 05, 2022. DOI:10.1186/s12651-022-00328-1
Detecting Interviewer Fraud Using Multilevel Models

Olbrich, L., Kosyakova, Y., Sakshaug, J. & Schwanhäuser, S. (2024): Detecting Interviewer Fraud Using Multilevel Models. In: Journal of survey statistics and methodology, Vol. 12, No. 1, p. 14-35. DOI:10.1093/jssam/smac036
The Impact of Mixing Survey Modes on Estimates of Change: A Quasi-Experimental Study

Cernat, A. & Sakshaug, J. (2023): The Impact of Mixing Survey Modes on Estimates of Change: A Quasi-Experimental Study. In: Journal of survey statistics and methodology, Vol. 11, No. 5, p. 1110-1132., accepted on October 14, 2022. DOI:10.1093/jssam/smac034
The Impact of Survey Mode Design and Questionnaire Length on Measurement Quality

Cernat, A., Sakshaug, J., Christmann, P. & Gummer, T. (2024): The Impact of Survey Mode Design and Questionnaire Length on Measurement Quality. In: Sociological methods & research, Vol. 53, No. 4, p. 1873-1904., accepted on August 22, 2022. DOI:10.1177/00491241221140139
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., accepted on July 23, 2022. DOI:10.1111/rssa.12942
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, accepted on August 19, 2022. DOI:10.1186/s12651-022-00321-8
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, accepted on October 24, 2022. DOI:10.1016/j.euroecorev.2022.104332
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
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., accepted on February 24, 2022. DOI:10.1177/1525822X221132401
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
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
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
Revision and new data quality concept due to deviant interviewer behavior in the IAB Job Vacancy Survey

Bossler, M., Gürtzgen, N., Kubis, A., Küfner, B., Olbrich, L. & Schwanhäuser, S. (2022): Revision and new data quality concept due to deviant interviewer behavior in the IAB Job Vacancy Survey. (FDZ-Methodenreport 05/2022 (en)), Nürnberg, 19 p. DOI:10.5164/IAB.FDZM.2205.en.v1
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
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
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.
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
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
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