[go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/a/ucp/jpemic/doi10.1086-727559.html
   My bibliography  Save this article

Accounting for Individual-Specific Reliability of Self-Assessed Measures of Economic Preferences and Personality Traits

Author

Listed:
  • Thomas Dohmen
  • Tomáš Jagelka
Abstract
We measure both revealed and self-reported reliability of individuals’ answers on self-reports of latent characteristics. We propose a straightforward survey question that allows one to distinguish individuals who give highly reliable answers from those who do not. Our novel indicator can be used to cost-effectively reduce attenuation bias in estimates of cognitive and noncognitive determinants of key life outcomes. Without requiring panel data or repeated measurements, the achieved correction is similar to the most effective reduced-form theory-based approaches in the existing literature. Finally, we clarify the role of effort and self-knowledge in generating measurement error and propose a simple model that rationalizes our findings.

Suggested Citation

  • Thomas Dohmen & Tomáš Jagelka, 2024. "Accounting for Individual-Specific Reliability of Self-Assessed Measures of Economic Preferences and Personality Traits," Journal of Political Economy Microeconomics, University of Chicago Press, vol. 2(3), pages 399-462.
  • Handle: RePEc:ucp:jpemic:doi:10.1086/727559
    DOI: 10.1086/727559
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1086/727559
    Download Restriction: Access to the online full text or PDF requires a subscription.

    File URL: http://dx.doi.org/10.1086/727559
    Download Restriction: Access to the online full text or PDF requires a subscription.

    File URL: https://libkey.io/10.1086/727559?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 look for a different version below or search for a different version of it.

    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. Li, Haizheng & Liu, Qinyi & Xu, Yiting, 2024. "Noncognitive Human Capital and Misreporting Behavior in Online Surveys," IZA Discussion Papers 17332, Institute of Labor Economics (IZA).

    More about this item

    JEL classification:

    • D90 - Microeconomics - - Micro-Based Behavioral Economics - - - General
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • 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:ucp:jpemic:doi:10.1086/727559. 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: Journals Division (email available below). General contact details of provider: https://www.journals.uchicago.edu/JPEMI .

    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.