Abstract
Drawing on the economic and conflict perspectives of crime control, as well as insights from the tipping effect literature, the present investigation examines the extent to which the social context within which potential offenders operate tempers the macro-level, reciprocal relationship between crime and arrests. We use autoregressive integrated moving average techniques to assess the extent to which the April 2001 race-related riot in Cincinnati, Ohio conditions the reciprocal relationship between property crime and arrests for the entire city and disaggregated by police district. Consistent with a majority of prior longitudinal studies, our analyses for the entire length of the times series reveal no evidence of an association between our measures of crime and arrest, regardless of the level of spatial aggregation. In contrast to the results from our baseline models, the post-riot transfer function models indicate that there is a reciprocal association between crime and arrests that is contingent upon the social context. The implications of our findings for the further study of the reciprocal relationship between crime and arrests are discussed.
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Notes
We also prefer to examine property, rather than personal, offenses to evaluate predictions derived from the racial conflict perspective. Our reasoning is twofold.
The vast majority of personal offenses (homicide, rape, and assault) are intra-racial (Bureau of Justice Statistics 1973–2006, 2005). For white offenders this means that their victims are also of a similar (high) social status. Thus, based on the racial threat hypothesis, there is no substantive reason for anticipating that the April 2001 riot would lead to any increase in the level of personal arrests in the predominately white areas of the city (districts two through five). There is second characteristic of personal crimes that makes them a less than optimal choice for the assessment of racial conflict theory, especially the benign neglect hypothesis. To recap, the benign neglect hypothesis anticipates finding a negative association between crimes and arrests in predominately black areas of the city after the April 2001 riot so that the police could devote their limited resources to and protect the interests of a more powerful, white majority (Liska and Chamlin 1984). Note, however, that most members of society, independent of their position in the social structure, agree that personal crimes, particularly those involving bodily harm, are inherently more serious than those involving the mere loss of property (Kwan et al. 2002; Rossi et al. 1974; Stylianou 2003; Wolfgang et al. 1985). Thus, it seems reasonable to conclude that the police have much less (if any) discretion to alter their enforcement practices with respect to personal than for (less serious) property offenses in response to the April 2001 riot.
It should be noted that time series can either drift (require seaonal and/or nonseasonal differencing to make them stationary in their levels) or trend (require the specification of a constant). In practice, most crime-related time series drift.
While the post-riot effect of arrests on crime might be due, at least in part, to the incapacitation of property offenders, the available evidence is far from conclusive. Langan and Levin’s (2002) analyses of 1994 recidivism data from fifteen states (including Ohio) indicate that the probability that a property offender will be rearrested within 3 years exceeds seventy percent. However, a recent assessment of the Hamilton county (Cincinnati) jail indicates that property offenders make-up less than quarter of the total pre-trial detainees. Further, the proportion of pre-trial detainees for property offenses has remained stable or declined slightly from 1999 through 2004 (Tombs et al. 2006). Thus, it seems unlikely that the pretrial incarceration of property offenders could account for the post-riot effect of property arrests on property crimes.
We would like to thank anonymous reviewers and the editors for recommending that we examine the possibility that our findings are due to the incapacitation of repeat offenders rather than the deterrence of profit-maximizing offenders.
Although this has no bearing on the relative merits of the incapacitation and deterrence hypotheses, the cross correlational analyses indicate that there is a instantaneous, positive association between assaultive behavior and assaults. While one cannot determine empirically the causal direction of a cross correlation function at lag 0, logic suggests to use that crime is the “causal” variable. If such is the case, this would lend further credence to the contention that the police have less flexibility in their responses to personal, than property offenses (see note 1).
References
Alltucker K (2001) Racial divide wide here. Cincinnati Enquirer, April 14, A1
Anglen R, Alltucker K, Bonfield T, Horn D (2001) Riot costs add up. Cincinnati Enquirer, October 7, A1
Becker GS (1968) Crime and punishment: an economic approach. J Polit Econ 76:169–217. doi:10.1086/259394
Black D (1976) The Behavior of law. Academic Press, Orlando
Blalock HM Jr (1967) Toward a theory of minority group relations. Wiley, New York
Borcherding TE, Deacon RT (1972) The demand for the services of non-federal governments. Am Econ Rev 62:891–901
Brown DW (1978) Arrest and crime rates: when does a tipping effect occur? Soc Forces 57:671–682. doi:10.2307/2577689
Bureau of Justice Statistics (1973–2006) Criminal victimization in the United States. Department of Justice, Washington, DC
Bureau of Justice Statistics (2005) Percent distribution of single-offender victimizations, based on race of victims, by type of crime and perceived race of offender, 1996–2004. (January) http:/www.ojp.usdoj.gov/bjs/pub/pdf/cvus/previous/cvus42.pdf
Bureau of the Census (1997) 1990 census of population and housing: summary file 3. US Bureau of the Census, Washington, DC
Bureau of the Census (2007) 2000 census of population and housing: summary file 3. US Bureau of the Census, Washington, DC
Chamlin MB (1988) Crime and arrests: an autoregressive integrated moving average approach. J Quant Criminol 4:247–258. doi:10.1007/BF01072452
Chamlin MB (1991) A longitudinal analysis of the arrest-crime relationship: a further examination of the tipping effect. Justice Q 8:187–199. doi:10.1080/07418829100090991
Chamlin MB, Grasmick HG, Bursik RJ Jr, Cochran JK (1992) Time aggregation and time lag in macro-level deterrence research. Criminology 30:377–395
Clines (2001) Officer charged in killing that roiled Cincinnati. The New York Times, May 8, A16
Deacon RT (1978) A demand model for the local sector. Rev Econ Stat 60:184–192. doi:10.2307/1924971
Durkheim E (1933) The division of labor in society. The Free Press, New York
Fisher FM, Nagin D (1978) On the feasibility of identifying the crime function in a simultaneous model of crime rates and sanction levels. In: Blumstein A, Cohen J, Nagin D (eds) Deterrence and incapacitation: estimating the effects of criminal sanctions on crime rates. National Academy of Sciences, Washington, DC, pp 250–317
Geerken M, Gove WR (1977) Deterrence, overload, and incapacitation: an empirical evaluation. Spc Forces 56:424–447. doi:10.2307/2577734
Gibbs JP (1968) Crime, punishment, and deterrence. Soc Sci Q 48:515–530
Gibbs JP (1975) Crime, punishment, and deterrence. Elsevier, New York
Granger CWJ, Newbold P (1986) Forecasting economic time series. Academic Press, Orlando, Fl
Greenberg DF, Kessler RC (1982) The effect of arrests on crime: a multivariate panel analysis. Soc Forces 60:771–790. doi:10.2307/2578392
Greenberg DF, Kessler RC, Logan CH (1979) A panel model of crime rates and arrest rates. Am Sociol Rev 44:843–850. doi:10.2307/2094531
Klepal D, Andrews C (2001) Stories of 15 black men killed by police since 1995. Cincinnati Enquirer, April 15. A1
Kwan YK, Chiu LL, Ip WC, Kwan P (2002) Perceived crime seriousness consensu and disparity. J Crim Justice 30:623–632. doi:10.1016/S0047-2352(02)00194-0
Langan PA, Levin DJ (2002) Recidivism of prisoners released in 1994. Document no., NCJ 193427. Bureau of Justice Statistics, Washington, DC
Langworthy R (1986) Police shooting and criminal homicide: the temporal relationship. J Quant Criminol 2:377–388
Liska AE, Chamlin MB (1984) Social structure and crime control among macro social units. Am J Sociol 90:383–395. doi:10.1086/228084
Loftin C, McDowall D (1982) The police, crime, and economic theory: an assessment. Am Sociol Rev 47:393–401. doi:10.2307/2094995
Logan CH (1975) Arrest rates and deterrence. Soc Sci Q 56:376–389
McCleary R, Hay RA Jr (1980) Applied time series analysis for the social sciences. Sage, Beverly Hills
Nagin D (1978) Crime rates, sanction levels, and constraints on prison populations. Law Soc Rev 12:341–366. doi:10.2307/3053284
Quinney R (1970) The social reality of crime, little. Brown, Boston
Quinney R (1977) Class, state, and crime. McKay, New York
Rossi PH, Waite E, Bose CE, Berk RE (1974) The seriousness of crimes: normative structure and individual differences. Am Sociol Rev 39:224–237. doi:10.2307/2094234
Stylianou S (2003) Measuring crime seriousness perceptions: what have we learned and what else do we want to know. J Crim Justice 31:37–56. doi:10.1016/S0047-2352(02)00198-8
Tittle CR (1969) Crime rates and legal sanctions. Soc Probl 16:409–423. doi:10.1525/sp.1969.16.4.03a00020
Tittle CR (1980) Sanctions and social deviance: the question of deterrence. Praeger, New York
Tittle CR, Rowe AR (1974) Certainty of arrest and crime rates: a further test of the deterrence hypothesis. Soc Forces 52:455–462. doi:10.2307/2576988
Tombs B, Rengifo A, Matson S, Foglesong T, Reisig H (2006) Assessment of inmate population characteristics and jail management processes in Hamilton County, Ohio. Final Report. Presented to the Hamilton County corrections review task force. (January) http://www.hamilton-co.org/adminstrator/bsi/jail/D%20-%20Vera%20Assessment.pdf
Tridimas G (2001) The economics and politics of the structure of public expenditure. Public Choice 3–4:299–316. doi:10.1023/A:1005250716104
Turk AT (1969) Criminality and legal order. Rand McNally, Chicago
Vela S (2001) Arrests mostly of young males. Cincinnati Enquirer, April 12, A16
Williams K, Drake S (1980) Social structure, crime, and criminalization: an empirical examination of the conflict perspective. Soc Q 21:563–576. doi:10.1111/j.1533-8525.1980.tb00636.x
Wolfgang ME, Figlio RM, Tracy PE, Singer SI (1985) The national survey of crime severity. Government Printing Office, Washington, DC
Yu J, Liska AE (1993) The certainty of punishment: a reference group effect and its functional form. Crim 21:447–464. doi:10.1111/j.1745-9125.1993.tb01137.x
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Chamlin, M.B., Myer, A.J. Disentangling the Crime-arrest Relationship: The Influence of Social Context. J Quant Criminol 25, 371–389 (2009). https://doi.org/10.1007/s10940-009-9072-z
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DOI: https://doi.org/10.1007/s10940-009-9072-z
Keywords
- Reciprocal relationships
- Contextual effects
- Macro-criminology
- ARIMA models