A Causal Framework for Observational Studies of Discrimination. Issue 1 (31st December 2022)
- Record Type:
- Journal Article
- Title:
- A Causal Framework for Observational Studies of Discrimination. Issue 1 (31st December 2022)
- Main Title:
- A Causal Framework for Observational Studies of Discrimination
- Authors:
- Gaebler, Johann
Cai, William
Basse, Guillaume
Shroff, Ravi
Goel, Sharad
Hill, Jennifer - Abstract:
- Abstract: In studies of discrimination, researchers often seek to estimate a causal effect of race or gender on outcomes. For example, in the criminal justice context, one might ask whether arrested individuals would have been subsequently charged or convicted had they been a different race. It has long been known that such counterfactual questions face measurement challenges related to omitted-variable bias, and conceptual challenges related to the definition of causal estimands for largely immutable characteristics. Another concern, which has been the subject of recent debates, is post-treatment bias: many studies of discrimination condition on apparently intermediate outcomes, like being arrested, that themselves may be the product of discrimination, potentially corrupting statistical estimates. There is, however, reason to be optimistic. By carefully defining the estimand—and by considering the precise timing of events—we show that a primary causal quantity of interest in discrimination studies can be estimated under an ignorability condition that may hold approximately in some observational settings. We illustrate these ideas by analyzing both simulated data and the charging decisions of a prosecutor's office in a large county in the United States.
- Is Part Of:
- Statistics and public policy. Volume 9:Issue 1(2022)
- Journal:
- Statistics and public policy
- Issue:
- Volume 9:Issue 1(2022)
- Issue Display:
- Volume 9, Issue 1 (2022)
- Year:
- 2022
- Volume:
- 9
- Issue:
- 1
- Issue Sort Value:
- 2022-0009-0001-0000
- Page Start:
- 26
- Page End:
- 48
- Publication Date:
- 2022-12-31
- Subjects:
- Applications and case studies -- Linear -- Simulation
Policy sciences -- Methodology -- Periodicals
Social sciences -- Statistical methods -- Periodicals
Medical statistics -- Methodology -- Periodicals
Statistics -- Periodicals
Medical statistics -- Methodology
Policy sciences -- Methodology
Social sciences -- Statistical methods
Statistics
Periodicals
320.60727 - Journal URLs:
- http://www.tandfonline.com/toc/uspp20/current#.VG5wemdZhsw ↗
http://www.tandfonline.com/ ↗ - DOI:
- 10.1080/2330443X.2021.2024778 ↗
- Languages:
- English
- ISSNs:
- 2330-443X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 21227.xml