IDEAS home Printed from https://ideas.repec.org/p/svk/wpaper/1145.html

Reach me if you can: How to boost participation of rich households in wealth surveys?

Author

Listed:
  • Sofie R. Waltl

    (University of Cambridge)

  • Judita Jurasekova Kucserova

    (National Bank of Slovakia)

  • Zuzana Brokesova

    (University of Economics and Business)

  • Boris Frankovic

    (Statistical Office of the Slovak Republic)

  • Andrej Cupak

    (National Bank of Slovakia)

Abstract

Wealth surveys systematically under-represent affluent households because wealthy respondents are less likely to participate. We study whether targeted incentives can improve top-tail coverage in the Slovak Household Finance and Consumption Survey (HFCS). Using census data, we pre-identify affluent households and randomly assign them to treatment and control groups. Treated households are offered a limited-edition non-cash participation incentive: a proof-quality silver collector coin. The incentive increases participation by 11–14 percentage points, equivalent to a roughly 40% increase relative to the participation rate among non-incentivized wealthy households, with the largest effects occurring when combined with personal interviewer contact. The treatment disproportionately attracts financially sophisticated households, improving coverage of the upper tail of the wealth distribution without reducing response quality. Incorporating these additional households increases measured mean wealth, raises the wealth Gini coefficient by up to 6.5%, and improves alignment between survey aggregates and National Accounts. Our findings show that fieldwork design and participation incentives materially affect the measurement of wealth inequality and may contribute to cross-country differences in HFCS-based statistics.

Suggested Citation

  • Sofie R. Waltl & Judita Jurasekova Kucserova & Zuzana Brokesova & Boris Frankovic & Andrej Cupak, 2026. "Reach me if you can: How to boost participation of rich households in wealth surveys?," Working and Discussion Papers WP 9/2026, Research Department, National Bank of Slovakia.
  • Handle: RePEc:svk:wpaper:1145
    as

    Download full text from publisher

    File URL: https://nbs.sk/dokument/7ae48eac-4867-4fc3-a650-648c196f2e5e/stiahnut/?force=false
    Download Restriction: no
    ---><---

    More about this item

    JEL classification:

    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution

    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:svk:wpaper:1145. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nbsgvsk.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.