Publication: Not All Statistics Are Created Equal
Open/View Files
Date
2010
Authors
Published Version
Published Version
Journal Title
Journal ISSN
Volume Title
Publisher
Harvard University, Harvard Law School
The Harvard community has made this article openly available. Please share how this access benefits you.
Citation
James Greiner, Not All Statistics Are Created Equal, 122 Harv. L. Rev. F. 533 (2010).
Research Data
Abstract
In Statistics Is a Plural Word, a response to my article Causal Inference in Civil Rights Litigation, Dean Steven Willborn and Professor Ramona Paetzold take issue both with my critique of regression as it is currently used in civil rights litigation and with my advocacy of the potential outcomes framework. In this Reply, I argue that Dean Willborn and Professor Paetzold’s response does not address (and thus cannot refute) the central lessons of Causal Inference, despite purporting to agree with those lessons. In particular, after “agree[ing] wholeheartedly” that a definition of a causal effect is necessary for the use of statistics in civil rights, Plural does not offer a definition. In the absence of such a definition, the purpose of statistics in civil rights litigation is unclear. The potential outcomes framework, in contrast, provides the needed definition and clarifies many subsidiary concepts, with salutary consequences following naturally from a start in the right place.
Description
Other Available Sources
Keywords
Terms of Use
This article is made available under the terms and conditions applicable to Open Access Policy Articles (OAP), as set forth at Terms of Service