Olof Dahlbäck – författare

This groundbreaking book by Olof Dahlbäck analyzes the direct effects of the environment and the indirect effects of geographical differentiation of individuals on the offender rates of different urban areas. In order to do this, relationships between crime and independent factors are analyzed in various ways - by considering cross-sectional and longitudinal aspects, linear and non-linear models, point and change data, different time periods, micro- and macro-level interaction, and data for individuals with different patterns of moves. The offender rates analyzed refer to individuals suspected by the police. The directly crime-influencing processes focused upon imply that individuals are affected by social control and social resources. The study makes use of advanced analytical models, novel methods and comprehensive data, and it solves several problems that have hampered research.

Olof Dahlbäck's book breaks new ground for the analysis of crime from a rationality perspective by presenting models and methods that go far beyond those with which researchers have hitherto been equipped. The book examines single crimes, individual criminality, and societal crime, and it discusses thoroughly the general decision theoretical presuppositions necessary for analyzing these various types of crime. An expected utility maximization model for a single discrete choice regarding the commission of a crime is the foundation of most of the analyses presented. A version of this model is developed that permits interpersonal comparisons, and this basic model is used when deriving more complex models of crime as well as when analyzing the potential for such derivations. The rigorous, powerful methods suggested provide considerable opportunities for improving research and for seeing old problems in a new light.

This groundbreaking book by Olof Dahlbäck analyzes the direct effects of the environment and the indirect effects of geographical differentiation of individuals on the offender rates of different urban areas. In order to do this, relationships between crime and independent factors are analyzed in various ways - by considering cross-sectional and longitudinal aspects, linear and non-linear models, point and change data, different time periods, micro- and macro-level interaction, and data for individuals with different patterns of moves. The offender rates analyzed refer to individuals suspected by the police. The directly crime-influencing processes focused upon imply that individuals are affected by social control and social resources. The study makes use of advanced analytical models, novel methods and comprehensive data, and it solves several problems that have hampered research.