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ALWA-ADIAB – Linked Individual Survey and Administrative Data for Substantive and Methodological Research

Author

Listed:
  • Manfred Antoni
  • Stefan Seth

Abstract

"The Research Data Centre of the German Federal Employment Agency provides access to high quality micro data on the German labour market. With 'ALWA survey data linked to administrative data of the IAB' (ALWA-ADIAB) it offers a new data set that combines survey information from the ALWA study ( 'Arbeiten und Lernen im Wandel' - Working and Learning in a Changing World) with micro data from social security records. By linking these two usually distinct data sources ALWA-ADIAB opens the field to a wide range of research questions, both substantive and methodological. The ALWA study?s comprehensive data on schooling and training decisions, labour market behavior, and regional mobility are supple-mented by and can be cross-checked with the administrative data on employment careers, and vice versa. The administrative individual data include information on spells of employment, benefit receipt, and job search and are complemented by information about the establishments ALWA respondents work at." (Author's abstract, IAB-Doku) ((en))
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Manfred Antoni & Stefan Seth, 2012. "ALWA-ADIAB – Linked Individual Survey and Administrative Data for Substantive and Methodological Research," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 132(1), pages 141-146.
    • Handle: RePEc:aeq:aeqsjb:v132_y2012_i1_q1_p141-146
    DOI: 10.3790/schm.132.1.141
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    Citations

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    Cited by:

    1. Dlugosz, Stephan & Mammen, Enno & Wilke, Ralf A., 2017. "Generalized partially linear regression with misclassified data and an application to labour market transitions," Computational Statistics & Data Analysis, Elsevier, vol. 110(C), pages 145-159.
    2. Antoni, Manfred & Bachbauer, Nadine & Eberle, Johanna & Vicari, Basha, 2018. "NEPS-SC6 survey data linked to administrative data of the IAB (NEPS-SC6-ADIAB 7515)," FDZ Datenreport. Documentation on Labour Market Data 201802_en, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    3. repec:iab:iabfda:202004(en is not listed on IDEAS
    4. repec:iab:iabfda:201802(de is not listed on IDEAS
    5. Bachbauer, Nadine & Wolf, Clara, 2020. "NEPS-SC6 survey data linked to administrative data of the IAB (NEPS-SC6-ADIAB)," FDZ Datenreport. Documentation on Labour Market Data 202004_en, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    6. Dlugosz, Stephan & Mammen, Enno & Wilke, Ralf A., 2015. "Generalised partially linear regression with misclassified data and an application to labour market transitions," ZEW Discussion Papers 15-043, ZEW - Leibniz Centre for European Economic Research.
    7. Reichelt, Malte & Abraham, Martin, 2015. "Occupational and regional mobility as substitutes : a new approach to understanding job changes and wage inequality," IAB-Discussion Paper 201514, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    8. Antoni, Manfred & Heineck, Guido, 2012. "Do literacy and numeracy pay off? On the relationship between basic skills and earnings," BERG Working Paper Series 86, Bamberg University, Bamberg Economic Research Group.
    9. Antoni Manfred & Schnell Rainer, 2019. "The Past, Present and Future of the German Record Linkage Center (GRLC)," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 239(2), pages 1-13, April.
    10. Bachbauer, Nadine & Wolf, Clara, 2020. "NEPS-SC6-Erhebungsdaten verknüpft mit administrativen Daten des IAB (NEPS-SC6-ADIAB)," FDZ Datenreport. Documentation on Labour Market Data 202004_de, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    11. Korbmacher, Julie M. & Schröder, Mathis, 2013. "Consent when Linking Survey Data with Administrative Records: The Role of the Interviewer," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 7(2), pages 115-131.
    12. Brenzel, Hanna & Reichelt, Malte, 2015. "Job mobility as a new explanation for the immigrant-native wage gap : a longitudinal analysis for the German labor market," IAB-Discussion Paper 201512, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    13. Zimmermann, Markus & Fitzenberger, Bernd & Osikominu, Aderonke, 2016. "Cohort Changes in Educational Pathways and Returns to Education," VfS Annual Conference 2016 (Augsburg): Demographic Change 145927, Verein für Socialpolitik / German Economic Association.
    14. Reichelt, Malte & Haas, Anette, 2015. "Commuting farther and earning more? : how employment density moderates workers commuting distance," IAB-Discussion Paper 201533, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    15. Antoni, Manfred & Bachbauer, Nadine & Eberle, Johanna & Vicari, Basha, 2018. "NEPS-SC6-Erhebungsdaten verknüpft mit administrativen Daten des IAB (NEPS-SC6-ADIAB 7515)," FDZ Datenreport. Documentation on Labour Market Data 201802_de, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    16. repec:iab:iabfda:201802(en is not listed on IDEAS
    17. Kruppe, Thomas & Matthes, Britta & Unger, Stefanie, 2014. "Effectiveness of data correction rules in process-produced data : the case of educational attainment," IAB-Discussion Paper 201415, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    18. Anette Haas & Malte Reichelt, 2015. "Larger pay, longer drives? Location specific wage effects on commuting distances," ERSA conference papers ersa15p1139, European Regional Science Association.
    19. repec:iab:iabfda:202004(de is not listed on IDEAS
    20. Heinisch, Dominik & Koenig, Johannes & Otto, Anne, 2019. "The IAB-INCHER project of earned doctorates (IIPED): A supervised machine learning approach to identify doctorate recipients in the German integrated employment biography data," IAB-Discussion Paper 201913, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    21. Morten Wahrendorf & Anja Marr & Manfred Antoni & Beate Pesch & Karl-Heinz Jöckel & Thorsten Lunau & Susanne Moebus & Marina Arendt & Thomas Brüning & Thomas Behrens & Nico Dragano, 2019. "Agreement of Self-Reported and Administrative Data on Employment Histories in a German Cohort Study: A Sequence Analysis," European Journal of Population, Springer;European Association for Population Studies, vol. 35(2), pages 329-346, May.
    22. Stefanie March & Silke Andrich & Johannes Drepper & Dirk Horenkamp-Sonntag & Andrea Icks & Peter Ihle & Joachim Kieschke & Bianca Kollhorst & Birga Maier & Ingo Meyer & Gabriele Müller & Christoph Ohl, 2020. "Good Practice Data Linkage (GPD): A Translation of the German Version," IJERPH, MDPI, vol. 17(21), pages 1-20, October.
    23. Reichelt, Malte, 2014. "Using longitudinal wage information in linked data sets : the example of ALWA-ADIAB," FDZ Methodenreport 201501_en, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    24. repec:iab:iabfme:201501(en is not listed on IDEAS

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