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Winmail3: An automated email package with an application to correspondence audit tests

Author

Listed:
  • Luca Fumarco

    (Tulane University)

  • S. Michael Gaddis

    (University of California, Los Angeles)

  • Iain Snoddy

    (Analysis Group)

Abstract

Correspondence audits are a popular method to examine discrimination in a causal framework. However, correspondence audits often require sending hundreds or thousands of emails to subjects. The Winmail3 package allows users to automatically send emails with Stata through PowerShell, which is open-source and cross-platform. Researchers can use this package to perform basic email tasks, such as contacting students or colleagues with standardized messages. Additionally, researchers can perform more complex tasks that entail sending randomized messages with multiple attachments from multiple accounts, tasks that are often necessary to conduct correspondence audit tests. This paper introduces the command and illustrates multiple examples of its application. We believe that researchers can apply this package to correspondence audit tests to save time and money.

Suggested Citation

  • Luca Fumarco & S. Michael Gaddis & Iain Snoddy, 2021. "Winmail3: An automated email package with an application to correspondence audit tests," Working Papers 2110, Tulane University, Department of Economics.
    • Handle: RePEc:tul:wpaper:2110
    as

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    File URL: http://repec.tulane.edu/RePEc/pdf/tul2110.pdf
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    References listed on IDEAS

    as
    1. Gaddis, S. Michael, 2015. "Discrimination in the Credential Society: An Audit Study of Race and College Selectivity in the Labor Market," SocArXiv 6qjue, Center for Open Science.
    2. Carlsson, Magnus & Rooth, Dan-Olof, 2007. "Evidence of ethnic discrimination in the Swedish labor market using experimental data," Labour Economics, Elsevier, vol. 14(4), pages 716-729, August.
    3. Luca Fumarco & Benjamin Harrell & Patrick Button & David Schwegman & E Dils, 2020. "Gender Identity, Race, and Ethnicity-based Discrimination in Access to Mental Health Care: Evidence from an Audit Correspondence Field Experiment," NBER Working Papers 28164, National Bureau of Economic Research, Inc.
    4. David Neumark & Ian Burn & Patrick Button, 2019. "Is It Harder for Older Workers to Find Jobs? New and Improved Evidence from a Field Experiment," Journal of Political Economy, University of Chicago Press, vol. 127(2), pages 922-970.
    5. Zschirnt, Eva & Ruedin, Didier, 2016. "Ethnic discrimination in hiring decisions: A meta-analysis of correspondence tests 1990–2015," EconStor Preprints 142176, ZBW - Leibniz Information Centre for Economics.
    6. Rich, Judy, 2014. "What Do Field Experiments of Discrimination in Markets Tell Us? A Meta Analysis of Studies Conducted since 2000," IZA Discussion Papers 8584, Institute of Labor Economics (IZA).
    7. Lahey, Joanna N. & Beasley, Ryan A., 2009. "Computerizing audit studies," Journal of Economic Behavior & Organization, Elsevier, vol. 70(3), pages 508-514, June.
    8. Luca Fumarco, 2017. "Disability Discrimination in the Italian Rental Housing Market: A Field Experiment with Blind Tenants," Land Economics, University of Wisconsin Press, vol. 93(4), pages 567-584.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    correspondence audit tests; field experiments; automation; PowerShell; email;
    All these keywords.

    JEL classification:

    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments

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