Are U.S. Crime Rate Trends Historically Contingent?

Conventional explanations of crime rate trends assume that changes in the rates follow a process that is linear and constant, and that draws its inputs from a normal distribution. These features ensure that the present is linearly predictable from the past and that the future will be linearly predictable from the present. Questioning the conventional assumptions, an emerging class of historical contingency theories stresses variation in the crime-generating mechanism. According to contingency explanations, the process underlying the rates is nonlinear or non-normal, or has a structure that shifts over time. Future rate changes can then differ greatly depending on current conditions, and unanticipated developments will limit the accuracy of linear predictions. This article examines U.S. crime rates during the past two-thirds of the twentieth century, and finds little evidence of historical contingency. This supports the standard explanations, but it also raises deeper questions about the forces that produce the rates.

[1]  Miles D. Harer,et al.  Making Sense of Recent U.S. Crime Trends, 1980 to 1996/1998: Age Composition Effects and Other Explanations , 1999 .

[2]  Richard Rosenfeld,et al.  Facilitating Violence: A Comparison of Gang-Motivated, Gang-Affiliated, and Nongang Youth Homicides , 1999 .

[3]  S. Durlauf.  A framework for the study of individual behavior and social interactions , 2001 .

[4]  F P Rivara,et al.  The rise and decline of homicide--and why. , 2000, Annual review of public health.

[5]  R. Lane.  Murder in America: A Historian's Perspective , 1999, Crime and Justice.

[6]  Gary F. Jensen,et al.  Decommodification and Homicide Rates in the 20th-Century United States , 2002 .

[7]  P. Perron,et al.  Econometric Theory and Practice: Multiple Structural Change Models: A Simulation Analysis , 2006 .

[8]  K. Maguire,et al.  Sourcebook of criminal justice statistics, 1979 , 1981 .

[9]  Philip Rothman,et al.  FORTRAN Programs for Running the TR Test: A Guide and Examples , 1997 .

[10]  Larry W. Isaac,et al.  Recursive Regression and the Historical Use of “Time” in Time-Series Analysis of Historical Process , 1992 .

[11]  M. Felson,et al.  Crime and Everyday Life , 1998 .

[12]  Philip Rothman,et al.  Time Irreversibility and Business Cycle Asymmetry , 1996 .

[13]  Stanley Lieberson,et al.  B ARKING U P THE W RONG B RANCH : Scientific Alternatives to the Current Model of Sociological Science , 2002 .

[14]  W. Enders.  Applied Econometric Time Series , 1994 .

[15]  B. Hansen.  The New Econometrics of Structural Change: Dating Breaks in U.S. Labour Productivity , 2001 .

[16]  Richard Rosenfeld,et al.  Explaining recent trends in U.S. homicide rates , 1998 .

[17]  P. Perron,et al.  Estimating and testing linear models with multiple structural changes , 1995 .

[18]  David F. Greenberg,et al.  Time Series Analysis of Crime Rates , 2001 .

[19]  K. A. Drass,et al.  COUNTING CRIME BOOMS AMONG NATIONS: EVIDENCE FOR HOMICIDE VICTIMIZATION RATES, 1956 TO 1998* , 2002 .

[20]  E. Glaeser,et al.  Crime and Social Interactions , 1995 .

[21]  D. Andrews.  Tests for Parameter Instability and Structural Change with Unknown Change Point , 1993 .

[22]  P. Rothman.  Higher-Order Residual Analysis for Simple Bilinear and Threshold Autoregressive Models with the TR Test , 1999 .

[23]  David McDowall,et al.  TESTS OF NONLINEAR DYNAMICS IN U.S. HOMICIDE TIME SERIES, AND THEIR IMPLICATIONS* , 2002 .

[24]  Daniel L. Cork,et al.  Examining Space–Time Interaction in City-Level Homicide Data: Crack Markets and the Diffusion of Guns Among Youth , 1999 .

[25]  A. J. Lawrance,et al.  Directionality and Reversibility in Time Series , 1991 .

[26]  P. Perron,et al.  Nonstationarity and Level Shifts With an Application to Purchasing Power Parity , 1992 .

[27]  Larry W. Isaac,et al.  Regimes of Power and the Power of Analytic Regimes: Explaining U.S. Military Procurement Keynesianism as Historical Process , 1997 .

[28]  R. Michalowski,et al.  Unemployment, imprisonment, and social structures of accumulation: Historical contingency in the Rusche-Kirchheimer hypothesis , 1999 .

[29]  Larry W. Isaac,et al.  AHISTORICISM IN TIME-SERIES ANALYSES OF HISTORICAL PROCESS: CRITIQUE, REDIRECTION, AND ILLUSTRATIONS FROM U.S. LABOR HISTORY* , 1989 .

[30]  T. Vogelsang.  Unit Roots, Cointegration, and Structural Change , 2001 .

[31]  B. Hansen.  Approximate Asymptotic P Values for Structural-Change Tests , 1997 .

[32]  C. Loftin.  Assaultive violence as a contagious social process. , 1986, Bulletin of the New York Academy of Medicine.

[33]  P. Perron,et al.  Computation and Analysis of Multiple Structural-Change Models , 1998 .

[34]  R. Michalowski,et al.  Crime, unemployment, and social structures of accumulation: An inquiry into historical contingency , 1997 .

[35]  C. Britt.  Reconsidering the unemployment and crime relationship: Variation by age group and historical period , 1997 .

[36]  D. Meadows-Klue.  The Tipping Point: How Little Things Can Make a Big Difference , 2004 .

[37]  Bruce E. Hansen,et al.  Testing for parameter instability in linear models , 1992 .

[38]  Gary LaFree,et al.  DECLINING VIOLENT CRIME RATES IN THE 1990S: Predicting Crime Booms and Busts , 1999 .

[39]  T. Breurch,et al.  A simple test for heteroscedasticity and random coefficient variation (econometrica vol 47 , 1979 .

[40]  J. Nyblom.  Testing for the Constancy of Parameters over Time , 1989 .

[41]  Donald R. Jones,et al.  THE CONTAGIOUS NATURE OF ANTISOCIAL BEHAVIOR , 2000 .

[42]  J. Stock,et al.  Evidence on Structural Instability in Macroeconomic Time Series Relations , 1994 .

[43]  G. Jensen,et al.  MANAGING RAPE: EXPLORATORY RESEARCH ON THE BEHAVIOR OF RAPE STATISTICS* , 1993 .

[44]  Stanley Lieberson,et al.  Making It Count: The Improvement of Social Research and Theory. , 1987 .

[45]  Robert D. Baller,et al.  STRUCTURAL COVARIATES OF U.S. COUNTY HOMICIDE RATES: INCORPORATING SPATIAL EFFECTS* , 2001 .

[46]  Bruce E. Hansen,et al.  THRESHOLD AUTOREGRESSION WITH A UNIT ROOT , 2001 .

[47]  D. Wayne Osgood,et al.  Analyzing Multiple-Item Measures of Crime and Deviance II: Tobit Regression Analysis of Transformed Scores , 2002 .

[48]  D. Andrews,et al.  Optimal Tests When a Nuisance Parameter Is Present Only Under the Alternative , 1992 .

[49]  Robert J. Sampson,et al.  Neighborhood inequality, collective efficacy, and the spatial dynamics of urban violence , 2001 .

[50]  T. Andersen.  THE ECONOMETRICS OF FINANCIAL MARKETS , 1998, Econometric Theory.

[51]  David B. Wolcott.  Murder in New York City , 2000 .

[52]  G. Janacek.  Non‐linear Time Series Models in Empirical Finance , 2003 .

[53]  Lawrence E. Cohen,et al.  Structural Covariates of Homicide Rates: Are There Any Invariances Across Time and Social Space? , 1990, American Journal of Sociology.