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Technical Aspects of Correspondence Studies

Author

Listed:
  • Joanna Lahey
  • Ryan Beasley

Abstract

This paper discusses technical concerns and choices that arise when crafting a correspondence or audit study using external validity as a motivating framework. We will discuss resume creation, including power analysis, choice of inputs, pros and cons of matching pairs, solutions to the limited template problem, and ensuring that instruments indicate what the experimenters want them to indicate. Further topics about implementation include when and for how long to field a study, deciding on a participant pool, and whether or not to use replacement from the participant pool. More technical topics include matching outcomes to inputs, data storage, and analysis issues such as when to use clustering, when not to use fixed effects, and how to measure heterogeneous and interactive effects. We end with a technical checklist that experimenters can utilize prior to fielding a correspondence study.

Suggested Citation

  • Joanna Lahey & Ryan Beasley, 2016. "Technical Aspects of Correspondence Studies," NBER Working Papers 22818, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:22818
    Note: AG DEV ED LE LS PE POL TWP
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    File URL: http://www.nber.org/papers/w22818.pdf
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    Cited by:

    1. Valfort, Marie-Anne, 2020. "Anti-Muslim discrimination in France: Evidence from a field experiment," World Development, Elsevier, vol. 135(C).
    2. Carlsson, Magnus & Eriksson, Stefan, 2019. "Age discrimination in hiring decisions: Evidence from a field experiment in the labor market," Labour Economics, Elsevier, vol. 59(C), pages 173-183.
    3. Baert, By Stijn & Neyt, Brecht & Siedler, Thomas & Tobback, Ilse & Verhaest, Dieter, 2021. "Student internships and employment opportunities after graduation: A field experiment," Economics of Education Review, Elsevier, vol. 83(C).
    4. James D. Paul & Albert A. Cheng & Jay P. Greene & Josh B. McGee, 2023. "The Value of College Athletics in the Labor Market: Results from a Resume Audit Field Experiment," Journal of Sports Economics, , vol. 24(3), pages 329-351, April.

    More about this item

    JEL classification:

    • C9 - Mathematical and Quantitative Methods - - Design of Experiments
    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • J2 - Labor and Demographic Economics - - Demand and Supply of Labor
    • J7 - Labor and Demographic Economics - - Labor Discrimination

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