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Multivariate Analysis Using Federal Sentencing Data

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Abstract:

Some critics claim that the federal sentencing guidelines are too complex and difficult to use. Research on federal sentencing data is a complex undertaking. Researchers using the United States Sentencing Commission’s yearly data often make errors in choice of or the recoding of variables. For example, a common error when modeling disparity in sentences in drug offenses is the failure to control for the type of drug involved in the offense or whether a mandatory minimum sentence applies in the case. This presentation will aid researchers in avoiding errors in modeling when using Sentencing Commission data.
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Association:
Name: ASC Annual Meeting
URL:
http://www.asc41.com


Citation:
URL: http://citation.allacademic.com/meta/p373115_index.html
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MLA Citation:

Blackwell, Kevin. "Multivariate Analysis Using Federal Sentencing Data" Paper presented at the annual meeting of the ASC Annual Meeting, Philadelphia Marriott Downtown, Philadelphia, PA, <Not Available>. 2014-11-28 <http://citation.allacademic.com/meta/p373115_index.html>

APA Citation:

Blackwell, K. "Multivariate Analysis Using Federal Sentencing Data" Paper presented at the annual meeting of the ASC Annual Meeting, Philadelphia Marriott Downtown, Philadelphia, PA <Not Available>. 2014-11-28 from http://citation.allacademic.com/meta/p373115_index.html

Publication Type: Conference Paper/Unpublished Manuscript
Abstract: Some critics claim that the federal sentencing guidelines are too complex and difficult to use. Research on federal sentencing data is a complex undertaking. Researchers using the United States Sentencing Commission’s yearly data often make errors in choice of or the recoding of variables. For example, a common error when modeling disparity in sentences in drug offenses is the failure to control for the type of drug involved in the offense or whether a mandatory minimum sentence applies in the case. This presentation will aid researchers in avoiding errors in modeling when using Sentencing Commission data.


Similar Titles:
Multivariate Analysis Using Federal Sentencing Data

How to Prevent Your Fraud Analysis from Being a Fraud: Preventing Pitfalls Analyzing Economic Offenses using Federal Sentencing Data

How to Prevent Your Fraud Analysis from Being a Fraud: Preventing Pitfalls Analyzing Economic Offenses Using Federal Sentencing Data


 
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