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Cited by 294

The DOI matches its Crossref record; 72 of the 72 references it cites were found in a registry or an index.

The Disability Employment Puzzle: A Field Experiment on Employer Hiring Behavior

Ameri, Mason, Schur, Lisa, Adya, Meera, Bentley, F. Scott, McKay, Patrick, Kruse, Douglas·2018·ILR Review

Abstract

The authors investigate potential discrimination against people with disabilities through a field experiment that sent job applications to 6,016 accounting positions for which the applicants’ disabilities are unlikely to affect productivity. One-third of the cover letters disclosed that the applicant had a spinal cord injury, one-third disclosed the presence of Asperger’s syndrome, and one-third did not mention disability. The disability applications received 26% fewer expressions of employer interest. This gap was concentrated among experienced applicants and small private companies that are not covered by the Americans with Disabilities Act (ADA). Tests suggest possible positive effects of the ADA, but not of state laws, in reducing the disability gap. Results indicate there may be substantial room for employer and policy initiatives to improve employment opportunities for people with disabilities.

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Crossref · 10.1177/0019793917717474

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Metadata

Authors
Ameri, M., Schur, L., Adya, M., Bentley, F. S., McKay, P., & Kruse, D.
Venue
ILR Review
Published
2017-06-23
Volume
71
Issue
2
Pages
329-364
ISSN
  • 0019-7939 (ISSN-L)
  • 2162-271X
OpenAlex
W2160539644
Cited by
294
References
72
FWCI
38.44
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Disability Employment Puzzle: A Field Experiment on Employer Hiring Behavior. https://app.cochat.ai/papers/10.1177/0019793917717474
The paper
Ameri, M., Schur, L., Adya, M., Bentley, F. S., McKay, P., & Kruse, D. (2018). The Disability Employment Puzzle: A Field Experiment on Employer Hiring Behavior. ILR Review. https://doi.org/10.1177/0019793917717474

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.