By Peter Schmidt
An financial research of Crime and Justice: thought, tools, and functions provides the purposes of monetary concept and econometric the way to numerous difficulties in criminology.
The publication is split into 3 components. half I discusses types of legal recidivism. the second one half tackles the commercial version of crime. half III estimates rate services for prisons. particular chapters within the booklet disguise issues on statistical research of qualitative results; research of 2 measures of criminality: the arrest fee and the conviction price; and long-run estimate of rate functionality for a bunch of Federal Correctional associations.
Economists, correctional directors, and felony justice pros will locate the publication a good resource of knowledge and perception.
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Additional info for An Economic Analysis of Crime and Justice. Theory, Methods, and Applications
This is very reasonable, because in a longer follow-up there is necessarily more chance to be con victed of both felonies and misdemeanors. 3 we see that LENG has only a small and insignificant effect on the relative probability of FEL versus MIS. 4. 27) Values in parentheses under coefficients are asymptotic / ratios. 86 34 3. Logit Analysis of Criminal Activity two coefficients is insignificant, and we have no basis for concluding that the length of the follow-up period affects the probability of convictions for misdemeanors and felonies differently.
Whereas it decreases the probability that the most serious subsequent con viction is for another type of crime (PROP or OTHER) and does not signifi cantly affect the probability of no subsequent conviction (NONE). 8 we see that it also does not affect the relative odds of PROP versus OTHER). Thus a person with a history of offenses against persons is more likely to commit similar offenses and less likely to commit property or other offenses than is an individual with a history of other offenses.
However, it should be stressed that a considerable advantage of maximum likelihood analyses using the probit or logit models is that such assumptions about the explanatory variables are not necessary. In the next chapter, we illustrate the use of the logit model by conducting two analyses of postrelease criminal activity. Notes to Chapter 2 25 Notes to Chapter 2 1. For a recent review of sentencing research, see Panel on Sentencing Research (1982). 2. For a discussion of this in the context of measuring the outcome of rehabilitative programs, see Sechrest, White, and Brown (1979).