Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/147895
Authors: 
Entorf, Horst
Sattarova, Liliya
Year of Publication: 
2016
Series/Report no.: 
IZA Discussion Papers 10209
Abstract: 
The study investigates whether and how strong prison conditions contribute to the perceived propensity to recidivate after controlling for personal characteristics and criminal background. In order to combine different sources of information on personal characteristics of prison inmates and administrative prison data in an efficient way, we propose the use of matched prison-prisoner data and application of cluster-sample methods such as GEE (generalized estimating equations). Estimated average partial effects based on GEE and random-effects Probit modeling reveal that prison conditions show significant effects on the perceived likelihood of future reincarceration. Particularly, we find that inmates facing prison overcrowding show a reduced likelihood of recidivism.
Subjects: 
matched prison-prisoner data
perceived specific deterrence
recidivism
GEE
JEL: 
K40
C34
C52
Document Type: 
Working Paper

Files in This Item:
File
Size
228.02 kB





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.