Collaborative Research on Micro Models of Criminal Careers

犯罪生涯微观模型合作研究

• 批准号: 9211896
• 负责人: Daniel Nagin
• 金额: $ 3.64万
• 依托单位: Carnegie-Mellon University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1992
• 资助国家: 美国
• 起止时间: 1992-08-01 至 1996-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9211896&HistoricalAwards=false
• 关键词: Collaborative; Research; Micro; Models; Criminal

This is a collaborative study on criminal careers (with Land, SES92-10437). The study will test two competing models of criminal careers. One model suggests that there are two classes of offenders (frequents and occasional) and that each has a different probability that an offender desists criminal activity after a certain number of convictions. The second models assumes that each individual in a population has a propensity for engaging in criminal behavior, and that the offending rate for an individual remains constant over the life course. The study will employ mixture Poisson regression models and latent-threshold normal regression models to analyze data from three longitudinal data sets on criminal activity. This study will increase our understanding of patterns of crime over individuals' lifetime and of the social and individual characteristics associated with criminal careers.

这是一项关于犯罪职业的合作研究（与 Land，SES 92 -10437）。 该研究将测试两种竞争模型， 犯罪生涯 一个模型认为有两个阶级 凡有犯行者，皆有犯行者，皆有犯行者。 犯罪人停止犯罪活动的不同概率 在一定数量的定罪之后。 第二个模型假设 种群中的每个个体都有 从事犯罪行为，而犯罪率为一个 个体在生命过程中保持不变。 这项研究将 采用混合Poisson回归模型和潜在阈值 正态回归模型分析三个纵向数据 犯罪活动的数据集。 这项研究将增加我们对 对个人终身和社会及个人的犯罪 与犯罪生涯相关的特征。