Working with Misspecified Regression Models

Conventional statistical modeling in criminology assumes proper model specification. Very strong and unrebutted criticisms have existed for decades. Some respond that although the criticisms are correct, there is for observational data no alternative. In this paper, we provide an alternative.

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Bibliographic Details
Published in:Journal of quantitative criminology
Main Author: Berk, Richard A. (Author)
Contributors: Brown, Lawrence (Author); Buja, Andreas; George, Edward; Zhao, Linda
Format: Electronic Article
Language:English
Published: 2018
In:Journal of quantitative criminology
Year: 2018, Volume: 34, Issue: 3, Pages: 633-655
Online Access: Volltext (Resolving-System)
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Summary:Conventional statistical modeling in criminology assumes proper model specification. Very strong and unrebutted criticisms have existed for decades. Some respond that although the criticisms are correct, there is for observational data no alternative. In this paper, we provide an alternative.
ISSN:1573-7799
DOI:10.1007/s10940-017-9348-7