An Analysis of Factors Related to Prosecutor Sentencing Preferences

2001 ◽  
Vol 12 (4) ◽  
pp. 295-310 ◽  
Author(s):  
Gerard Rainville
Keyword(s):  
Decision Making ◽  
Least Squares ◽  
Personal Values ◽  
Ordinary Least Squares ◽  
Criminal Case ◽  
Least Squares Regression ◽  
Current Analysis ◽  
Case Processing ◽  
Criminal Case Processing

Three types of variables have been identified as related to prosecutor decision making in the screening and settlement stages of criminal case-processing—legal, extralegal, and resource variables. The current analysis examines the degree to which these classes of variables affect prosecutor sentence preferences. Ordinary least squares regression is used to relate factors that prosecutors regard as germane to forming sentence preferences to a measure of sentence restrictiveness. Analyses reveal a diminished reliance on legal and extralegal variables in the determination of preferred sentences. In their stead, the available correctional placement options within a prosecutor's jurisdiction as well as the personal values of prosecutors appear to determine the level of sentence restrictiveness that prosecutors desire.

Does Family Decision-Making Power Improve Women’s Happiness?

2021 ◽  
pp. 0192513X2110300
Author(s):  
Zhongwu Li
Keyword(s):  
Decision Making ◽  
Propensity Score ◽  
Least Squares ◽  
Logit Model ◽  
Self Esteem ◽  
Ordinary Least Squares ◽  
Matching Method ◽  
Family Decision ◽  
Family Decision Making ◽  
Heterogeneity Analysis

It is almost a consensus that the stronger family decision-making power a woman has, the happier she will be. While using the China Family Panel Studies, this study reveals a long-overlooked fact that women’s control over more family decision-making power does not necessarily improve their happiness. The results of the ordinary least squares and ordinal logit model confirm this finding, and the propensity score matching method corroborates the conclusion. Heterogeneity analysis shows that among those women with less education and lower social status, the negative happiness effect of women’s family decision-making power is particularly significant. Women’s traditional attitudes and self-esteem are two important factors which hinder women’s family decision-making power from enhancing their happiness.

scholarly journals Tolerance Intervals in a Heteroscedastic Linear Regression Context with Applications to Aerospace Equipment Surveillance

2009 ◽  
Vol 2009 ◽  
pp. 1-8 ◽  
Author(s):  
Janet Myhre ◽  
Daniel R. Jeske ◽  
Michael Rennie ◽  
Yingtao Bi
Keyword(s):  
Linear Regression ◽  
Least Squares ◽  
Performance Metrics ◽  
Weighted Least Squares ◽  
Ordinary Least Squares ◽  
Automated System ◽  
Least Squares Regression ◽  
Data Set ◽  
Tolerance Intervals ◽  
Power Of The Test

A heteroscedastic linear regression model is developed from plausible assumptions that describe the time evolution of performance metrics for equipment. The inherited motivation for the related weighted least squares analysis of the model is an essential and attractive selling point to engineers with interest in equipment surveillance methodologies. A simple test for the significance of the heteroscedasticity suggested by a data set is derived and a simulation study is used to evaluate the power of the test and compare it with several other applicable tests that were designed under different contexts. Tolerance intervals within the context of the model are derived, thus generalizing well-known tolerance intervals for ordinary least squares regression. Use of the model and its associated analyses is illustrated with an aerospace application where hundreds of electronic components are continuously monitored by an automated system that flags components that are suspected of unusual degradation patterns.

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