Disability insurance: error rates and gender differences

We show the extent of errors made in the award of disability insurance using matched survey-administrative data. False rejections (Type I errors) are widespread, and there are large gender differences in these type I error rates. Women with a severe, work-limiting, permanent impairment are 20 percen...

Full description

Bibliographic Details
Main Authors: Low, H, Pistaferri, L
Format: Working paper
Published: University of Oxford 2019
_version_ 1797076972236439552
author Low, H
Pistaferri, L
author_facet Low, H
Pistaferri, L
author_sort Low, H
collection OXFORD
description We show the extent of errors made in the award of disability insurance using matched survey-administrative data. False rejections (Type I errors) are widespread, and there are large gender differences in these type I error rates. Women with a severe, work-limiting, permanent impairment are 20 percentage points more likely to be rejected than men, controlling for the type of health condition, occupation, and a host of demographic characteristics. We investigate whether these gender differences in Type I errors are due to women being in better health than men, to women having lower pain thresholds, or to women applying more readily for disability insurance. None of these explanations are consistent with the data. We use evidence from disability vignettes to suggest that there are different acceptance thresholds for men and women. The differences by gender arise because women are more likely to be assessed as being able to find other work than observationally equivalent men. Despite this, after rejection, women with a self-reported work limitation do not return to work, compared to rejected women without a work limitation.
first_indexed 2024-03-07T00:11:04Z
format Working paper
id oxford-uuid:793e9f39-b8ea-4a9e-aead-2db16883ad0e
institution University of Oxford
last_indexed 2024-03-07T00:11:04Z
publishDate 2019
publisher University of Oxford
record_format dspace
spelling oxford-uuid:793e9f39-b8ea-4a9e-aead-2db16883ad0e2022-03-26T20:36:12ZDisability insurance: error rates and gender differencesWorking paperhttp://purl.org/coar/resource_type/c_8042uuid:793e9f39-b8ea-4a9e-aead-2db16883ad0eBulk import via SwordSymplectic ElementsUniversity of Oxford2019Low, HPistaferri, LWe show the extent of errors made in the award of disability insurance using matched survey-administrative data. False rejections (Type I errors) are widespread, and there are large gender differences in these type I error rates. Women with a severe, work-limiting, permanent impairment are 20 percentage points more likely to be rejected than men, controlling for the type of health condition, occupation, and a host of demographic characteristics. We investigate whether these gender differences in Type I errors are due to women being in better health than men, to women having lower pain thresholds, or to women applying more readily for disability insurance. None of these explanations are consistent with the data. We use evidence from disability vignettes to suggest that there are different acceptance thresholds for men and women. The differences by gender arise because women are more likely to be assessed as being able to find other work than observationally equivalent men. Despite this, after rejection, women with a self-reported work limitation do not return to work, compared to rejected women without a work limitation.
spellingShingle Low, H
Pistaferri, L
Disability insurance: error rates and gender differences
title Disability insurance: error rates and gender differences
title_full Disability insurance: error rates and gender differences
title_fullStr Disability insurance: error rates and gender differences
title_full_unstemmed Disability insurance: error rates and gender differences
title_short Disability insurance: error rates and gender differences
title_sort disability insurance error rates and gender differences
work_keys_str_mv AT lowh disabilityinsuranceerrorratesandgenderdifferences
AT pistaferril disabilityinsuranceerrorratesandgenderdifferences