By Peter Schmidt
An financial research of Crime and Justice: conception, equipment, and functions offers the purposes of financial conception and econometric how to a variety of difficulties in criminology.
The ebook is split into 3 components. half I discusses types of felony recidivism. the second one half tackles the industrial version of crime. half III estimates fee features for prisons. particular chapters within the publication conceal themes on statistical research of qualitative results; research of 2 measures of illegal activity: the arrest fee and the conviction price; and long-run estimate of rate functionality for a gaggle of Federal Correctional associations.
Economists, correctional directors, and legal justice execs will locate the booklet an excellent resource of knowledge and perception.
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Extra resources for An Economic Analysis of Crime and Justice. Theory, Methods, and Applications
The felony-misdemeanor distinction in North Carolina is quite similar to most other states. A misdemeanor generally carries a prison sentence of 2 years or less. See Institute of Government (1970) for the details of this distinction. Notes to Chapter 3 47 4. Wolfgang et al. (1972) use multiple regression to analyze the determinants of the serious ness of criminal activities for juveniles. Their analysis is only partially comparable to the present analysis for three reasons. First, they are studying juveniles rather than adults.
Seriousness of Criminal Activity those that mainly affect the seriousness of the future conviction should one occur. Specifically, the variables RACE, ALKY, CONVBS, AAR, and LENG all affect the probability of NONE but have only insignificant effects on the relative probabilities of FEL and MIS; the variables WR, SUPER, AFA, and MF have only insignificant effects on the probability of NONE but do affect the relative probabilities of MIS and FEL. The variable RULE does not fit either pattern. We begin with those variables that primarily affect the probability of a conviction.
We also provided predicted probabilities of various types of convictions for individuals with specified characteristics. These can be useful in checking the adequacy of the model and could also be used in a variety of policymaking applications, such as program evaluation (the subject of Chapter 8) or simulations of future trends in type of criminal activity. Notes to Chapter 3 1. However, owing to the original purpose for which the data were collected (an evaluation of the North Carolina prisoner work release program), it excludes men convicted of sex offenses, serious drug offenses, or as public drunks.