skip navigation

PUBLICATIONS

Register for Latest Research

Stay Informed
Register with NCJRS to receive NCJRS's biweekly e-newsletter JUSTINFO and additional periodic emails from NCJRS and the NCJRS federal sponsors that highlight the latest research published or sponsored by the Office of Justice Programs.

NCJRS Abstract

The document referenced below is part of the NCJRS Virtual Library collection. To conduct further searches of the collection, visit the Virtual Library. See the Obtain Documents page for direction on how to access resources online, via mail, through interlibrary loans, or in a local library.

 

NCJ Number: 218312 Find in a Library
Title: Is the Magic Still There?: The Use of the Heckman Two-Step Correction for Selection Bias in Criminology
Journal: Journal of Quantitative Criminology  Volume:23  Issue:2  Dated:June 2007  Pages:151-178
Author(s): Shawn Bushway; Brian D. Johnson; Lee A.nn Slocum
Date Published: June 2007
Page Count: 28
Publisher: http://www.springer.com 
Type: Report (Study/Research)
Format: Article
Language: English
Country: United States of America
Annotation: This paper systematically reviews common problems associated with Heckman's approach for dealing with selection bias in criminological research.
Abstract: The review found that the Heckman estimators tended to be used mechanistically, without sufficient attention to the particular circumstances related to sample selection. The Heckman estimator is only appropriate for estimating a theoretical model of a particular kind of selection. Different selection processes require different modeling approaches, which in turn require different estimators. The review also found significant problems with the way the Heckman estimator had been applied in the majority of the studies reviewed. These errors included the use of the logit rather than probit in the first stage, the use of models other than OLS in the second stage, failure to correct heteroskedastic errors, and improper calculation of the inverse Mills ratio. Collectively these errors raise serious questions about the validity of prior results derived from miscalculated or misapplied versions of Heckman's correction for selection bias. Even when the correction has been properly implemented, however, research evidence shows that the Heckman approach can seriously inflate standard errors due to collinearity between the correction term and the included regressors. This problem is intensified in the absence of exclusion restrictions. These are variables that affect the selection process but not the substantive equation of interest. The review concludes by highlighting two approaches that provide important intuition regarding the severity of sample selection bias and the potential benefits of correcting it with Heckman's technique. 3 figures, 3 tables, and 94 references
Main Term(s): Criminology
Index Term(s): Research design; Research design models; Research methods
To cite this abstract, use the following link:
http://www.ncjrs.gov/App/publications/abstract.aspx?ID=240012

*A link to the full-text document is provided whenever possible. For documents not available online, a link to the publisher's website is provided. Tell us how you use the NCJRS Library and Abstracts Database - send us your feedback.