Property Crime in Canada : : An Econometric Study / / Kenneth Avio, C. Scott Clark.

• Superior document: Title is part of eBook package: De Gruyter University of Toronto Press eBook-Package Archive 1933-1999
• VerfasserIn: Avio, Kenneth,; Clark, C. Scott,
• Place / Publishing House: Toronto : : University of Toronto Press, , [2016]; ©1976
• Year of Publication: 2016
• Language: English
• Series: Heritage
• Physical Description: 1 online resource (94 p.)
• Other title: Frontmatter --; Contents --; Acknowledgments --; Introduction --; 1. The extent of property crime in Canada --; 2. The economic model of crime --; 3. Data --; 4. Empirical results --; 5. Range of elasticities for 'true' offence rates: an illustration --; 6. Conclusion and recommendations for future research --; Appendices --; APPENDIX A. Derivation of expected sentence lengths --; APPENDIX B. Police and judicial crime classifications --; APPENDIX C. Two-stage least squares regression estimates of the supply-of-offences equations --; APPENDIX D. Ordinary least squares estimates of the supply-of-offences equations --; APPENDIX E. Data sources --; References
• Format: Mode of access: Internet via World Wide Web.
• ISBN: 9781442656413; 9783110490947
• DOI: 10.3138/9781442656413
• Access: restricted access
• Hierarchical level: Monograph
• Statement of Responsibility: Kenneth Avio, C. Scott Clark.

This is the first attempt, using Canadian data and econometric techniques, to study property crime as rational economic behaviour. Supply-of-offences functions for five types of property crime are specified and estimated using provincial data for 1970-2. Both the probability of apprehension and the probability of conviction are shown to have a substantial negative effect upon most kinds of property crime, with the conviction rate exhibiting the stronger influence. The generally significant inverse relationship between expected sentence length and the crime rate found by other researchers does not appear for the crimes investigated here. The results also indicate that estimating supply-of-offence functions over such aggregate categories as 'property crime' can lead to unjustified generalizations about particular types of crime.