IDEAS home Printed from https://ideas.repec.org/a/spr/qualqt/v56y2022i6d10.1007_s11135-022-01333-9.html
   My bibliography  Save this article

Assessing dissimilarity of employment history information from survey and administrative data using sequence analysis techniques

Author

Listed:
  • Babette Bühler

    (University of Tübingen)

  • Katja Möhring

    (University of Mannheim)

  • Andreas P. Weiland

    (University of Mannheim)

Abstract

Life course data is frequently gathered either using retrospective surveys or linking records with administrative data. Yet, each strategy has specific advantages and disadvantages. We study the consistency between both types of data sources and reasons for mismatch using the linked data set SHARE-RV, which combines retrospective life history data from the Survey of Health, Ageing and Retirement in Europe (SHARE) with respondents’ administrative data from German pension insurance records (N = 1679). Utilizing sequence analysis techniques with Hamming distance, Optimal Matching and OMspell as matching algorithms, we examine mismatches between survey and administrative data covering detailed, 30-year employment histories, and analyze how inconsistencies are associated with life-course characteristics, demographic and socio-economic factors. Our results show that life-course complexity and spells of atypical employment are associated with more mismatches. Furthermore, gender differences are pronounced and appear to be sensitive to the applied matching algorithm.

Suggested Citation

  • Babette Bühler & Katja Möhring & Andreas P. Weiland, 2022. "Assessing dissimilarity of employment history information from survey and administrative data using sequence analysis techniques," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(6), pages 4747-4774, December.
    • Handle: RePEc:spr:qualqt:v:56:y:2022:i:6:d:10.1007_s11135-022-01333-9
    DOI: 10.1007/s11135-022-01333-9
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11135-022-01333-9
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11135-022-01333-9?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Matthias Studer & Gilbert Ritschard, 2016. "What matters in differences between life trajectories: a comparative review of sequence dissimilarity measures," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 179(2), pages 481-511, February.
    2. Ivar Krumpal, 2013. "Determinants of social desirability bias in sensitive surveys: a literature review," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(4), pages 2025-2047, June.
    3. Matissa Hollister, 2009. "Is Optimal Matching Suboptimal?," Sociological Methods & Research, , vol. 38(2), pages 235-264, November.
    4. Christian Brzinsky-Fay & Ulrich Kohler & Magdalena Luniak, 2006. "Sequence analysis with Stata," Stata Journal, StataCorp LP, vol. 6(4), pages 435-460, December.
    5. John Abowd & Martha Stinson, 2011. "Estimating Measurement Error in SIPP Annual Job Earnings: A Comparison of Census Bureau Survey and SSA Administrative Data," Working Papers 11-20, Center for Economic Studies, U.S. Census Bureau.
    6. Stephen P. Jenkins & Lorenzo Cappellari & Peter Lynn & Annette Jäckle & Emanuela Sala, 2006. "Patterns of consent: evidence from a general household survey," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 169(4), pages 701-722, October.
    7. Peter Valet & Jule Adriaans & Stefan Liebig, 2019. "Comparing survey data and administrative records on gross earnings: nonreporting, misreporting, interviewer presence and earnings inequality," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(1), pages 471-491, January.
    8. Heike Solga, 2001. "Longitudinal Surveys and the Study of Occupational Mobility: Panel and Retrospective Design in Comparison," Quality & Quantity: International Journal of Methodology, Springer, vol. 35(3), pages 291-309, August.
    9. 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.
    10. Gabadinho, Alexis & Ritschard, Gilbert & Müller, Nicolas S & Studer, Matthias, 2011. "Analyzing and Visualizing State Sequences in R with TraMineR," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 40(i04).
    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. Jule Adriaans & Peter Valet & Stefan Liebig, 2020. "Comparing administrative and survey data: Is information on education from administrative records of the German Institute for Employment Research consistent with survey self-reports?," Quality & Quantity: International Journal of Methodology, Springer, vol. 54(1), pages 3-25, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Liao, Tim F. & Bolano, Danilo & Brzinsky-Fay, Christian & Cornwell, Benjamin & Fasang, Anette Eva & Helske, Satu & Piccarreta, Raffaella & Raab, Marcel & Ritschard, Gilbert & Struffolino, Emanuela & S, 2022. "Sequence analysis: Its past, present, and future," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 107, pages 1-1.
    2. 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.
    3. Elisabeth Beusch & Arthur Soest, 2020. "Labour Market Trajectories of the Self-employed in the Netherlands," De Economist, Springer, vol. 168(1), pages 109-146, March.
    4. Hanly, Mark & Clarke, Paul & Steele, Fiona, 2016. "Sequence analysis of call record data: exploring the role of different cost settings," LSE Research Online Documents on Economics 64896, London School of Economics and Political Science, LSE Library.
    5. Dugord, Clara & Franc, Carine, 2022. "Trajectories and individual determinants of regular cancer screening use over a long period based on data from the French E3N cohort," Social Science & Medicine, Elsevier, vol. 294(C).
    6. Mark Hanly & Paul Clarke & Fiona Steele, 2016. "Sequence analysis of call record data: exploring the role of different cost settings," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 179(3), pages 793-808, June.
    7. Marcel Raab & Emanuela Struffolino, 2020. "The Heterogeneity of Partnership Trajectories to Childlessness in Germany," European Journal of Population, Springer;European Association for Population Studies, vol. 36(1), pages 53-70, March.
    8. Júlia Mikolai & Hill Kulu, 2019. "Union dissolution and housing trajectories in Britain," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 41(7), pages 161-196.
    9. Marc A. Scott & Kaushik Mohan & Jacques‐Antoine Gauthier, 2020. "Model‐based clustering and analysis of life history data," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(3), pages 1231-1251, June.
    10. Devillanova, Carlo & Raitano, Michele & Struffolino, Emanuela, 2019. "Longitudinal employment trajectories and health in middle life: Insights from linked administrative and survey data," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, pages 1375-1412.
    11. Lisa Toczek & Hans Bosma & Richard Peter, 2022. "Early retirement intentions: the impact of employment biographies, work stress and health among a baby-boomer generation," European Journal of Ageing, Springer, vol. 19(4), pages 1479-1491, December.
    12. Kandt, Jens & Leak, Alistair, 2019. "Examining inclusive mobility through smartcard data: What shall we make of senior citizens' declining bus patronage in the West Midlands?," Journal of Transport Geography, Elsevier, vol. 79(C), pages 1-1.
    13. Zhelyazkova, N., 2014. "Discovering and explaining work-family strategies of parents in Luxembourg," MERIT Working Papers 2014-022, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    14. Mathias Voigt & Antonio Abellán & Julio Pérez & Diego Ramiro, 2020. "The effects of socioeconomic conditions on old-age mortality within shared disability pathways," PLOS ONE, Public Library of Science, vol. 15(9), pages 1-17, September.
    15. Elizabeth C Delmelle, 2017. "Differentiating pathways of neighborhood change in 50 U.S. metropolitan areas," Environment and Planning A, , vol. 49(10), pages 2402-2424, October.
    16. Borgna, Camilla & Struffolino, Emanuela, 2018. "Unpacking Configurational Dynamics: Sequence Analysis and Qualitative Comparative Analysis as a Mixed-Method Design," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, pages 167-184.
    17. Alketa Peci & Aline de Menezes Santos & Bruno César Pino Oliveira de Araújo, 2022. "Quo Vadis? Career paths of Brazilian regulators," Regulation & Governance, John Wiley & Sons, vol. 16(2), pages 470-486, April.
    18. Thomas King, 2013. "A framework for analysing social sequences," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(1), pages 167-191, January.
    19. Ricard, Antonin & Shimizu, Katsuhiko & Vieu, Marion, 2021. "Deepening the timing dimension of emerging market multinational companies’ internationalization – An exploratory perspective," Journal of International Management, Elsevier, vol. 27(3).
    20. Valentina Tocchioni & Marcantonio Caltabiano & Silvia Meggiolaro, 2022. "Diverse pathways in young Italians’ entrance into sexual life: The association with gender and birth cohort," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 46(13), pages 355-396.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:qualqt:v:56:y:2022:i:6:d:10.1007_s11135-022-01333-9. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.