Reexamining Criminal Behavior: The Importance of Omitted Variable Bias

By David B. Mustard. 2003

93 citations recorded by the source corpus.

Subfields: Safety, Risk, Reliability and Quality, Sociology and Political Science

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Safety, Risk, Reliability and Quality

1. Alex R. Piquero
2. David Weisburd

In Sociology and Political Science

1. Aram Galstyan
2. Kristina Lerman
3. Fred Morstatter
4. Alex R. Piquero
5. David Weisburd
6. Nripsuta Ani Saxena
7. Ninareh Mehrabi
8. Dan Nagin

Citations in the corpus

• A Survey on Bias and Fairness in Machine Learning (2019, background): “Omitted variable bias4 occurs when one or more important variables are left out of the model [38, 114, 131].”
• How Well Do Criminologists Explain Crime? Statistical Modeling in Published Studies (2008, background): “It is one of the primary problems and central dilemmas of multivariate modeling (Mustard 2003), the other being sample selection bias, such as that caused by the continual analysis of conviction databases to make inferences about discretion in the system as a whole, including decisions made by…”