IDEAS home Printed from https://ideas.repec.org/a/taf/jnlbes/v38y2020i4p711-722.html

Transparency in Structural Research

Author

Listed:
  • Isaiah Andrews
  • Matthew Gentzkow
  • Jesse M. Shapiro

Abstract

We propose a formal definition of transparency in empirical research and apply it to structural estimation in economics. We discuss how some existing practices can be understood as attempts to improve transparency, and we suggest ways to improve current practice, emphasizing approaches that impose a minimal computational burden on the researcher. We illustrate with examples.

Suggested Citation

  • Isaiah Andrews & Matthew Gentzkow & Jesse M. Shapiro, 2020. "Transparency in Structural Research," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(4), pages 711-722, October.
    • Handle: RePEc:taf:jnlbes:v:38:y:2020:i:4:p:711-722
    DOI: 10.1080/07350015.2020.1796395
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/07350015.2020.1796395
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/07350015.2020.1796395?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

    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. Christina Korting & Carl Lieberman & Jordan Matsudaira & Zhuan Pei & Yi Shen, 2023. "Visual Inference and Graphical Representation in Regression Discontinuity Designs," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 138(3), pages 1977-2019.
    2. Colesanti Senni, Chiara & Goel, Skand, 2025. "Nature scenario plausibility: A dynamic Bayesian network approach," Ecological Economics, Elsevier, vol. 236(C).
    3. Isaiah Andrews & Matthew Gentzkow & Jesse M. Shapiro, 2020. "Reply to: Comments on “On the Informativeness of Descriptive Statistics for Structural Estimates”," Econometrica, Econometric Society, vol. 88(6), pages 2277-2279, November.
    4. Victor Duarte & Diogo Duarte & Dejanir H. Silva, 2024. "Machine Learning for Continuous-Time Finance," CESifo Working Paper Series 10909, CESifo.
    5. Jiaming Huang & Luca Neri, 2026. "Beyond Validity: SVAR Identification Through the Proxy Zoo," Papers 2601.11195, arXiv.org.
    6. Isaiah Andrews & Jesse M. Shapiro, 2021. "A Model of Scientific Communication," Econometrica, Econometric Society, vol. 89(5), pages 2117-2142, September.
    7. Marco Stenborg Petterson & David Seim & Jesse M. Shapiro, 2023. "Bounds on a Slope from Size Restrictions on Economic Shocks," American Economic Journal: Microeconomics, American Economic Association, vol. 15(3), pages 552-572, August.
    8. Aristotelis Epanomeritakis & Davide Viviano, 2025. "Learning What to Learn: Experimental Design when Combining Experimental with Observational Evidence," Papers 2510.23434, arXiv.org, revised Jul 2026.
    9. Meghana Ayyagari & Vojislav Maksimovic & Rodimiro Rodrigo & Ariel Weinberger, 2026. "Automation Under Constraints: Exchange Rates Interest Rates and Investment," CESifo Working Paper Series 12526, CESifo.
    10. Roberto Dell’Anno, 2023. "Correction to: Measuring the unobservable: estimating informal economy by a structural equation modeling approach," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 30(1), pages 278-279, February.

    More about this item

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General

    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:taf:jnlbes:v:38:y:2020:i:4:p:711-722. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/UBES20 .

    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.