“…A poorly determined effect was obtained, again, for the robbery category. Our findings relating to the effect of area-specific wealth on the criminal activity of burglary and theft are broadly compatible with the crosssectional findings reported in Timbrel1 (1990), and the time series findings of Field (1990).…”
This paper uses aggregate data from 42 police-force areas over 12 years to test predictions of Becker's economic model of crime. The effects of measures for deterrence on the incidence of three types of acquisitive criminal activity (burglary, theft, robbery) in England and Wales are explored. Mixed support for the Becker model emerges. The growth in unemployment is seen to impact positively on two of the three types of criminal activity examined. Per capita household income is seen to have a negative effect on the recorded rates of burglary and theft, but there is some evidence that the income variable is a proxy for the effects of unemployment. Poor housing conditions and the relative youth of the population were also found to play a role in the determination of criminal activity.
“…A poorly determined effect was obtained, again, for the robbery category. Our findings relating to the effect of area-specific wealth on the criminal activity of burglary and theft are broadly compatible with the crosssectional findings reported in Timbrel1 (1990), and the time series findings of Field (1990).…”
This paper uses aggregate data from 42 police-force areas over 12 years to test predictions of Becker's economic model of crime. The effects of measures for deterrence on the incidence of three types of acquisitive criminal activity (burglary, theft, robbery) in England and Wales are explored. Mixed support for the Becker model emerges. The growth in unemployment is seen to impact positively on two of the three types of criminal activity examined. Per capita household income is seen to have a negative effect on the recorded rates of burglary and theft, but there is some evidence that the income variable is a proxy for the effects of unemployment. Poor housing conditions and the relative youth of the population were also found to play a role in the determination of criminal activity.
“…According to the last line of argument it is the existence of social controls which prevent individuals engaging in illegal activities even when they could bene® t from doing so. The breakdown of social control is therefore a pre-condition for the economic determinants of crime, such as unemployment to take e ect (Elster, 1989;Field, 1990).…”
This paper investigates the relationship between unemployment and crime in England and Wales taking account of both age and gender in the unemployment measures. The study is for 1985-95 and is disaggregated to the regional level. We allow for different types of crime and the deterrence effects of detection and punishment. We also consider the relationship between ethnicity and crime in the light of the contentious public debate on this issue. Our results indicate that there is a systematic positive relationship between burglary rates and male unemployment regardless of age. However, we find that while youth unemployment is consistently and positively related to criminal damage and robbery rates there is no systematic evidence of a relationship between adult male unemployment and these specific crimes. Instead our evidence supports a positive link between adult unemployment and theft. We find no compelling evidence of a link between ethnicity and crime.
“…) Though influential, Field's 1990 study was not without its limitations. As Field himself pointed out, his analysis helped to explain short-term fluctuations in levels of property crime, but "the full relation between long-run economic growth and growth in property crime is as yet unclear, it seems that the effects identified in this study have only a limited bearing on this issue" (Field 1990).…”
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