IDEAS home Printed from https://ideas.repec.org/p/lmu/muenar/20547.html

Item non-response to financial questions in household surveys: An experimental study of interviewer and mode effects

Author

Listed:
  • Essig, Lothar
  • Winter, Joachim

Abstract

We analyse the determinants of non-response to questions on financial items such as income and asset holdings in household surveys. Our data come from a controlled field experiment. As part of the SAVE study - a representative survey conducted in Germany in 2001 - questions on household income and financial assets were administered using different modes (personal interview versus drop-off questionnaire). The data also allow us to investigate the influence of interviewer characteristics on non-response. Our results are in line with predictions derived from models of survey response behaviour that have been developed in survey research and social psychology.

Suggested Citation

  • Essig, Lothar & Winter, Joachim, 2009. "Item non-response to financial questions in household surveys: An experimental study of interviewer and mode effects," Munich Reprints in Economics 20547, University of Munich, Department of Economics.
    • Handle: RePEc:lmu:muenar:20547
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Börsch-Supan, Axel & Reil-Held, Anette & Schunk, Daniel, 2007. "The savings behaviour of German households: First Experiences with state promoted private pensions," MEA discussion paper series 07136, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.
    2. Daniel Schunk, 2006. "The German SAVE Survey: Documentation and Methodology," MEA discussion paper series 06109, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.
    3. Stocké, Volker & Stark, Tobias, 2006. "Trust in surveys and the respondents' susceptibility to item nonresponse," Papers 06-06, Sonderforschungsbreich 504.
    4. Thomas F. Crossley & Joachim K. Winter, 2014. "Asking Households about Expenditures: What Have We Learned?," NBER Chapters, in: Improving the Measurement of Consumer Expenditures, pages 23-50, National Bureau of Economic Research, Inc.
    5. Pfarr, Christian & Schmid, Andreas, 2013. "The political economics of social health insurance: the tricky case of individuals’ preferences," MPRA Paper 44534, University Library of Munich, Germany.
    6. Essig, Lothar, 2005. "Methodological aspects of the SAVE data set," Papers 05-17, Sonderforschungsbreich 504.
    7. Daniel Schunk, 2007. "What Determines the Saving Behavior of German Households? An Examination of Saving Motives and Saving Decisions," MEA discussion paper series 07124, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.
    8. Börsch-Supan, Axel & Coppola, Michela & Reil-Held, Anette, 1970. "Riester Pensions in Germany: Design, Dynamics, Targetting Success and Crowding-In," MEA discussion paper series 201220, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.
    9. Pfarr, Christian, 2012. "Meltzer-Richard and social mobility hypothesis: revisiting the income-redistribution nexus using German choice data," MPRA Paper 43325, University Library of Munich, Germany.
    10. Daniel Schunk, 2008. "A Markov chain Monte Carlo algorithm for multiple imputation in large surveys," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 92(1), pages 101-114, February.
    11. Lothar Essig, 2005. "Methodological aspects of the SAVE data set," MEA discussion paper series 05080, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.
    12. Gabriela Fonseca & Semira Tagliabue & Carla Crespo & Ana Paula Relvas, 2021. "Missingness Amount and Mechanisms in Family Economic Stress Research: Mapping (Non)answers to Economic-Related Variables of Fathers, Mothers, and Emerging Adult Children," Journal of Family and Economic Issues, Springer, vol. 42(3), pages 397-412, September.
    13. Michael Ziegelmeyer, 2013. "Illuminate the unknown: evaluation of imputation procedures based on the SAVE survey," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 97(1), pages 49-76, January.
    14. Daniel Schunk, 2007. "A Markov Chain Monte Carlo Multiple Imputation Procedure for Dealing with Item Nonresponse in the German SAVE Survey," MEA discussion paper series 07121, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.
    15. Bruckmeier, Kerstin & Müller, Gerrit & Riphahn, Regina T., 2015. "Survey misreporting of welfare receipt—Respondent, interviewer, and interview characteristics," Economics Letters, Elsevier, vol. 129(C), pages 103-107.
    16. Jörg-Peter Schräpler, 2004. "Respondent Behavior in Panel Studies," Sociological Methods & Research, , vol. 33(1), pages 118-156, August.
    17. Beatrice Scheubel & Joachim Winter, 2008. "Rente mit 67: Wie lange die Deutschen arbeiten können und wollen," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 61(01), pages 26-32, January.
    18. repec:mea:meawpa:12258 is not listed on IDEAS
    19. Schunk Daniel, 2009. "What Determines Household Saving Behavior: An Examination of Saving Motives and Saving Decisions 06.01.2009," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 229(4), pages 467-491, August.

    More about this item

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access

    Statistics

    Access and download statistics

    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:lmu:muenar:20547. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Tamilla Benkelberg (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    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.