Download PDF by Peter Schmidt: An Economic Analysis of Crime and Justice. Theory, Methods,

By Peter Schmidt

ISBN-10: 0126271801

ISBN-13: 9780126271805

An financial research of Crime and Justice: conception, tools, and functions offers the functions of monetary conception and econometric the right way to quite a few difficulties in criminology.
The ebook is split into 3 elements. half I discusses versions of felony recidivism. the second one half tackles the commercial version of crime. half III estimates fee features for prisons. particular chapters within the ebook conceal themes on statistical research of qualitative results; research of 2 measures of criminality: the arrest price and the conviction expense; and long-run estimate of fee functionality for a gaggle of Federal Correctional associations.
Economists, correctional directors, and legal justice execs will locate the ebook a very good resource of knowledge and perception.

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Extra resources for An Economic Analysis of Crime and Justice. Theory, Methods, and Applications

Sample text

The classic statistical example (Kendall and Stuart, 1973, p. 541) concerns the distribution of bullet holes in a target at a shooting range. Let y be the distance from the center of the target for a particular shot. , lognormal or ex­ ponential). If the target is sufficiently wide that every shot will hit the target, estimation of the parameters of the distribution of y, given a sample of shots, is straightforward. However, suppose that the target has a radius R, with R small enough that there is a nonnegligible probability that a shot may miss the target.

10 The variables PERSON and PROPTY, which indicate the nature of the last previous offense, clearly influence the type of subsequent offense rather than the probability of a conviction. 5. 8. 54 From Witte and Schmidt (1979). Values in parentheses under coefficients are asymptotic / ratios. 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).

M (as in the logit case) but with the understanding that the order is not arbitrary (as it was in the logit case). The ordered probit model postulates an unobservable y*9 which is related to explanatory variables by Eq. 1). 2

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An Economic Analysis of Crime and Justice. Theory, Methods, and Applications by Peter Schmidt

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