Adaptive Correspondence Experiments
Hadar Avivi,
Patrick Kline,
Evan Rose and
Christopher Walters
No 28319, NBER Working Papers from National Bureau of Economic Research, Inc
Abstract:
Correspondence experiments probe for discrimination by manipulating employer perceptions of applicant characteristics. We consider the gains from dynamically adapting the number and characteristics of fictitious applications to the sequence of employer responses received so far. Calibrating the employer callback process to data from a recent correspondence experiment by Nunley et al. (2015), we find it is possible to cut the number of applications required to detect a fixed number of discriminatory jobs roughly in half relative to the static benchmark design that sends the same number and mix of applications to all jobs. These gains are achieved primarily from abandoning jobs with very low callback probabilities and those that demonstrate a willingness to call black applicants.
JEL-codes: C9 J18 J71 (search for similar items in EconPapers)
Date: 2021-01
New Economics Papers: this item is included in nep-exp and nep-ore
Note: LE LS TWP
References: Add references at CitEc
Citations:
Published as Hadar Avivi & Patrick Kline & Evan Rose & Christopher Walters, 2021. "Adaptive Correspondence Experiments," AEA Papers and Proceedings, American Economic Association, vol. 111, pages 43-48, May.
Downloads: (external link)
http://www.nber.org/papers/w28319.pdf (application/pdf)
Related works:
Journal Article: Adaptive Correspondence Experiments (2021) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:nbr:nberwo:28319
Ordering information: This working paper can be ordered from
http://www.nber.org/papers/w28319
Access Statistics for this paper
More papers in NBER Working Papers from National Bureau of Economic Research, Inc National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A.. Contact information at EDIRC.
Bibliographic data for series maintained by ().