Based on a disaggregate Monte Carlo simulation model, we will compute paths of long term development of criminal offenses in the Federal Republic of Germany until the year 2030 based upon hypotheses on the long term development of crime. The use of this approach permits us to relate probabilities to different outcomes of the forecasts.
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References
1.
Blum, U. (1985), Prognoserechnungen zur Veranderung von Grobe und Struktur der Bevolkerung in der Bundesrepublik Deutschland, 1981 - 2081, Institut fur Wirtschaftspolitik und Wirtschaftsforschung, Karlsruhe.
2.
Blum, U. (1987), Forecasting German Population Development with Monte Carlo Methods: Further Evidence Based on a disaggregate Model, Institut fur Wirtschaftspolitik und Wirtschaftsforschung, Universitat Karlsruhe , Discussion Paper 1/87, Departement de sciences economiques cahier
3.
Blumstein, A. and J. Cohen (1973), A Theory of the Stability of Punishemnt, J. Crim. Law Criminol.64, 198-207.
4.
Feltes, T., (1987), The Development of Sentencing, Sanctioning and imprisonment in the Federal Republic of Germany and the Theory of the Stability of Punishment, Centre international de criminologie comparee, Universite de Montreal, Montreal, forthcoming.
5.
Pflaumer, P. (1986), Forecasting German Population with Monte Carlo Methods, Economics Letters21, 385-390.
6.
Tremblay, P. (1986), The Stability of Punishment: a Follow-up of Blumstein's Hypothesis, Journal of Quantitative Criminology2, 157-180.
