Total hits 990
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PASS-Befragungsdaten verknüpft mit administrativen Daten des IAB (PASS-ADIAB) 1975-2020
Dummert, S. & Grunau, P. (2023): PASS-Befragungsdaten verknüpft mit administrativen Daten des IAB (PASS-ADIAB) 1975-2020. (FDZ-Datenreport 05/2023), Nürnberg, 81 p. DOI:10.5164/IAB.FDZD.2305.de.v1
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Sample of Integrated Labour Market Biographies (SIAB) 1975-2021
Schmucker, A., Seth, S. & Vom Berge, P. (2023): Sample of Integrated Labour Market Biographies (SIAB) 1975-2021. (FDZ-Datenreport 02/2023 (en)), Nürnberg, 81 p. DOI:10.5164/IAB.FDZD.2302.de.v1
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Stichprobe der Integrierten Arbeitsmarktbiografien (SIAB) 1975-2021
Schmucker, A., Seth, S. & Vom Berge, P. (2023): Stichprobe der Integrierten Arbeitsmarktbiografien (SIAB) 1975-2021. (FDZ-Datenreport 02/2023 (de)), Nürnberg, 82 p. DOI:10.5164/IAB.FDZD.2302.de.v1
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AKM effects for German labour market data 1985-2021
Lochner, B., Seth, S. & Wolter, S. (2023): AKM effects for German labour market data 1985-2021. (FDZ-Methodenreport 01/2023 (en)), Nürnberg, 13 p. DOI:10.5164/IAB.FDZM.2301.en.v1
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Studie zu Betrieben in der Covid-19-Krise (BeCovid)
Bellmann, L., Gensicke, M., Gleiser, P., Hartmann, J., Hensgen, S., Kagerl, C., Koch, T., König, C., Kleifgen, E., Künzel, S., Leber, U., Moritz, M., Pohlan, L., Riedmann, A., Roth, D., Schierholz, M., Stegmaier, J., Strauß, A., Tschersich, N. & Umkehrer, M. (2023): Studie zu Betrieben in der Covid-19-Krise (BeCovid). (FDZ-Methodenreport 02/2023 (de)), Nürnberg, 67 p. DOI:10.5164/IAB.FDZM.2302.de.v1
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Befragungsdaten der SOEP-Core-, IAB-SOEP Migrationsstichprobe, IAB-BAMF-SOEP Befragung von Geflüchteten und SOEP-Innovationssample verknüpft mit administrativen Daten des IAB (SOEP-CMI-ADIAB) 1975-2020
Antoni, M., Beckmannshagen, M., Grabka, M., Keita, S. & Trübswetter, P. (2023): Befragungsdaten der SOEP-Core-, IAB-SOEP Migrationsstichprobe, IAB-BAMF-SOEP Befragung von Geflüchteten und SOEP-Innovationssample verknüpft mit administrativen Daten des IAB (SOEP-CMI-ADIAB) 1975-2020. (FDZ-Datenreport 03/2023 (de)), Nürnberg, 89 p. DOI:10.5164/IAB.FDZD.2303.de.v1
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A correction procedure for the working hours variable in the IAB employee history
Vom Berge, P., Umkehrer, M. & Wanger, S. (2023): A correction procedure for the working hours variable in the IAB employee history. In: Journal for labour market research, Vol. 57. DOI:10.1186/s12651-023-00331-0
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Why using Google's reCAPTCHA to protect your survey against bots is a bad idea
Haas, G. (2023): Why using Google's reCAPTCHA to protect your survey against bots is a bad idea. In: Medium : Human Stories & Ideas No. 01.03.2023.
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Das QuBe-Projekt: Modelle, Module, Methoden
Zika, G., Hummel, M., Maier, T. & Wolter, M. (eds.) (2023): Das QuBe-Projekt: Modelle, Module, Methoden. (IAB-Bibliothek 374), Bielefeld: wbv, 226 p. DOI:10.3278/9783763973712
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A guide to preparing the sample of integrated labour market biographies (SIAB, version 7519 v1) for scientific analysis
Stüber, H., Dauth, W. & Eppelsheimer, J. (2023): A guide to preparing the sample of integrated labour market biographies (SIAB, version 7519 v1) for scientific analysis. In: Journal for labour market research, Vol. 57, p. 1-11. DOI:10.1186/s12651-023-00335-w
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Population aggregates from administrative data samples – how good are they?
Vom Berge, P. (2023): Population aggregates from administrative data samples – how good are they? In: Journal for labour market research, Vol. 57, p. 1-10. DOI:10.1186/s12651-023-00334-x
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IABSE-ADIAB – IAB Job Vacancy Survey Data Linked to Administrative Data
Lochner, B. (2024): IABSE-ADIAB – IAB Job Vacancy Survey Data Linked to Administrative Data. In: Jahrbücher für Nationalökonomie und Statistik, Vol. 244, No. 1-2, p. 159-165. DOI:10.1515/jbnst-2023-0004
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River Sampling – a Fishing Expedition: A Non-Probability Case Study
Murray-Watters, A., Zins, S., Silber, H., Gummer, T. & Lechner, C. (2023): River Sampling – a Fishing Expedition: A Non-Probability Case Study. In: Methods, Data, Analyses, Vol. 17, No. 1, p. 3-28. DOI:10.12758/mda.2022.05
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Advances in Business Statistics, Methods and Data Collection
Snijkers, G., Bavdaž, M., Bender, S., Jones, J., MacFeely, S., Sakshaug, J., Thompson, K. & Delden, A. (eds.) (2023): Advances in Business Statistics, Methods and Data Collection. Chichester: Wiley, 856 p.
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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
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IAB-Stellenerhebung verknüpft mit administrativen Daten des IAB (IABSE-ADIAB) 1975-2020
Lochner, B. (2023): IAB-Stellenerhebung verknüpft mit administrativen Daten des IAB (IABSE-ADIAB) 1975-2020. (FDZ-Datenreport 01/2023 (de)), Nürnberg, 73 p. DOI:10.5164/IAB.FDZD.2301.de.v1
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IAB Job Vacancy Survey data linked to administrative data of the IAB (IABSE-ADIAB) 1975-2020
Lochner, B. (2023): IAB Job Vacancy Survey data linked to administrative data of the IAB (IABSE-ADIAB) 1975-2020. (FDZ-Datenreport 01/2023 (en)), Nürnberg, 73 p. DOI:10.5164/IAB.FDZD.2301.en.v1
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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. DOI:10.1186/s12651-022-00328-1
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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
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NEPS-SC3 survey data linked to administrative data of the IAB (NEPS-SC3-ADIAB)
Bachbauer, N. & Wolf, C. (2022): NEPS-SC3 survey data linked to administrative data of the IAB (NEPS-SC3-ADIAB). (FDZ-Datenreport 14/2022 (en)), Nürnberg, 88 p. DOI:10.5164/IAB.FDZD.2214.en.v1