IDEAS home Printed from https://ideas.repec.org/a/vrs/offsta/v37y2021i4p837-864n7.html
   My bibliography  Save this article

Evaluating the Utility of Linked Administrative Data for Nonresponse Bias Adjustment in a Piggyback Longitudinal Survey

Author

Listed:
  • Büttner Tobias J.M.

    (Federal Employment Agency/Institute for Employment Research, 104 Regensburger Straße, Nuremberg 90478, Germany.)

  • Sakshaug Joseph W.

    (Federal Employment Agency/Institute for Employment Research, 104 Regensburger Straße, Nuremberg 90478, Germany.)

  • Vicari Basha

    (Federal Employment Agency/Institute for Employment Research, 104 Regensburger Straße, Nuremberg 90478, Germany.)

Abstract

Nearly all panel surveys suffer from unit nonresponse and the risk of nonresponse bias. Just as the analytic value of panel surveys increase with their length, so does cumulative attrition, which can adversely affect the representativeness of the resulting survey estimates. Auxiliary data can be useful for monitoring and adjusting for attrition bias, but traditional auxiliary sources have known limitations. We investigate the utility of linked-administrative data to adjust for attrition bias in a standard piggyback longitudinal design, where respondents from a preceding general population cross-sectional survey, which included a data linkage request, were recruited for a subsequent longitudinal survey. Using the linked-administrative data from the preceding survey, we estimate attrition biases for the first eight study waves of the longitudinal survey and investigate whether an augmented weighting scheme that incorporates the linked-administrative data reduces attrition biases. We find that adding the administrative information to the weighting scheme generally leads to a modest reduction in attrition bias compared to a standard weighting procedure and, in some cases, reduces variation in the point estimates. We conclude with a discussion of these results and remark on the practical implications of incorporating linked-administrative data in piggyback longitudinal designs.

Suggested Citation

  • Büttner Tobias J.M. & Sakshaug Joseph W. & Vicari Basha, 2021. "Evaluating the Utility of Linked Administrative Data for Nonresponse Bias Adjustment in a Piggyback Longitudinal Survey," Journal of Official Statistics, Sciendo, vol. 37(4), pages 837-864, December.
  • Handle: RePEc:vrs:offsta:v:37:y:2021:i:4:p:837-864:n:7
    DOI: 10.2478/jos-2021-0037
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/jos-2021-0037
    Download Restriction: no

    File URL: https://libkey.io/10.2478/jos-2021-0037?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
    ---><---

    References listed on IDEAS

    as
    1. Bruce D. Meyer & Nikolas Mittag, 2019. "Using Linked Survey and Administrative Data to Better Measure Income: Implications for Poverty, Program Effectiveness, and Holes in the Safety Net," American Economic Journal: Applied Economics, American Economic Association, vol. 11(2), pages 176-204, April.
    2. 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.
    3. Martin Kroh, 2010. "Documentation of Sample Sizes and Panel Attrition in the German Socio Economic Panel (SOEP) (1984 until 2009)," Data Documentation 50, DIW Berlin, German Institute for Economic Research.
    4. repec:mpr:mprres:4937 is not listed on IDEAS
    5. Peter Jacobebbinghaus & Stefan Seth, 2007. "European Data Watch: The German Integrated Employment Biographies Sample IEBS," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 127(2), pages 335-342.
    6. Martin Kroh, 2009. "Documentation of Sample Sizes and Panel Attrition in the German Socio Economic Panel (SOEP) (1984 until 2008)," Data Documentation 47, DIW Berlin, German Institute for Economic Research.
    7. John Karl Scholz & Ananth Seshadri & Surachai Khitatrakun, 2006. "Are Americans Saving "Optimally" for Retirement?," Journal of Political Economy, University of Chicago Press, vol. 114(4), pages 607-643, August.
    8. repec:iab:iabfme:201112(en is not listed on IDEAS
    9. repec:mpr:mprres:4780 is not listed on IDEAS
    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. Adrian Chadi, 2019. "Dissatisfied with life or with being interviewed? Happiness and the motivation to participate in a survey," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 53(3), pages 519-553, October.
    2. Miriam Beblo & Sven Schreiber, 2022. "Leisure and housing consumption after retirement: new evidence on the life-cycle hypothesis," Review of Economics of the Household, Springer, vol. 20(1), pages 305-330, March.
    3. Holst, Elke & Schäfer, Andrea & Schrooten, Mechthild, 2011. "Remittances and Gender: Theoretical Considerations and Empirical Evidence," IZA Discussion Papers 5472, Institute of Labor Economics (IZA).
    4. Timo Zumbro, 2014. "The Relationship Between Homeownership and Life Satisfaction in Germany," Housing Studies, Taylor & Francis Journals, vol. 29(3), pages 319-338, April.
    5. Markus M. Grabka & Ursina Kuhn, 2012. "The Evolution of Income Inequality in Germany and Switzerland since the Turn of the Millennium," SOEPpapers on Multidisciplinary Panel Data Research 464, DIW Berlin, The German Socio-Economic Panel (SOEP).
    6. Jeffrey R. Brown & Julia Lynn Coronado & Don Fullerton, 2009. "Is Social Security Part of the Social Safety Net?," NBER Chapters, in: Tax Policy and the Economy, Volume 23, pages 37-72, National Bureau of Economic Research, Inc.
    7. Maria Casanova-Rivas, 2008. "Dynamic Complementarities: A Computational and Empirical Analysis of Couples' Retirement Decisions," 2008 Meeting Papers 1073, Society for Economic Dynamics.
    8. Bagus Arya Wirapati & Niken Astria Sakina Kusumawardhani, 2010. "Is ACFTA A Proper Strategy Of Sustainable Poverty Alleviation?: Proof From The Depletion Of Saving Rate," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 13(1), pages 75-102, July.
    9. Goda, Gopi Shah & Manchester, Colleen Flaherty & Sojourner, Aaron J., 2014. "What will my account really be worth? Experimental evidence on how retirement income projections affect saving," Journal of Public Economics, Elsevier, vol. 119(C), pages 80-92.
    10. Klos, Alexander & Rottke, Simon, 2013. "Saving and Consumption When Children Move Out," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79786, Verein für Socialpolitik / German Economic Association.
    11. Beshears, John & Choi, James J. & Laibson, David & Madrian, Brigitte C., 2011. "Behavioral economics perspectives on public sector pension plans," Journal of Pension Economics and Finance, Cambridge University Press, vol. 10(2), pages 315-336, April.
    12. Alexander L. Brown & Zhikang Eric Chua & Colin F. Camerer, 2009. "Learning and Visceral Temptation in Dynamic Saving Experiments," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(1), pages 197-231.
    13. Asako Ohinata & Matteo Picchio, 2020. "Financial support for long-term elderly care and household saving behaviour," Oxford Economic Papers, Oxford University Press, vol. 72(1), pages 247-268.
    14. Mariacristina De Nardi & Eric French & John Bailey Jones, 2016. "Medicaid Insurance in Old Age," American Economic Review, American Economic Association, vol. 106(11), pages 3480-3520, November.
    15. Hugo Benitez-Silva & Moshe Buchinsky & John Rust & Emine Boz & Joseph B. Nichols & Sharbani Roy & Ignez Tristao, 2005. "Health Status, Insurance, and Expenditures in the Transition from Work to Retirement," Department of Economics Working Papers 05-11, Stony Brook University, Department of Economics.
    16. FUKAI Taiyo & ICHIMURA Hidehiko & KANAZAWA Kyogo, 2018. "Quantifying Health Shocks over the Life Cycle," Discussion papers 18014, Research Institute of Economy, Trade and Industry (RIETI).
    17. Hero Ashman & Seth Neumuller, 2020. "Can Income Differences Explain the Racial Wealth Gap: A Quantitative Analysis," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 35, pages 220-239, January.
    18. Gilboa, Itzhak & Postlewaite, Andrew & Samuelson, Larry, 2016. "Memorable consumption," Journal of Economic Theory, Elsevier, vol. 165(C), pages 414-455.
    19. repec:iab:iabfda:201109(de is not listed on IDEAS
    20. Dmytro Hryshko, 2012. "Labor income profiles are not heterogeneous: Evidence from income growth rates," Quantitative Economics, Econometric Society, vol. 3(2), pages 177-209, July.
    21. Lee M. Lockwood, 2018. "Incidental Bequests and the Choice to Self-Insure Late-Life Risks," American Economic Review, American Economic Association, vol. 108(9), pages 2513-2550, September.

    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:vrs:offsta:v:37:y:2021:i:4:p:837-864:n:7. 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: Peter Golla (email available below). General contact details of provider: https://www.sciendo.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.