Federal Criminal Sentencing: Some Measurement Issues with Application to Pre-Guideline Sentencing Disparity
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TL;DR
This paper presents a statistical model-a two-limit tobit model with heteroscedastic error terms-that is an improvement over techniques often used to analyze sentencing decisions that is applied to the sentences imposed on federal offenders convicted of bank robbery and the distribution of cocaine.
Abstract
Regression analysis is often used to study sentencing decisions.This paper presents a statistical model-a two-limit tobit model with heteroscedastic error terms-that is an improvement over techniques often used to analyze sentencing decisions.This model is applied to the sentences imposed on federal offenders convicted of bank robbery and the distribution of cocaine.Results are used to motivate a discussion of sentence disparity.