The Effect of Education on Crime: Evidence from Prison Inmates, Arrests, and Self-Reports

We estimate the effect of high school graduation on participation in criminal activity accounting for endogeneity of schooling. We begin by analyzing the effect of high school graduation on incarceration using Census data. Instrumental variable estimates using changes in state compulsory attendance laws as an instrument for high school graduation uncover a significant reduction in incarceration for both blacks and whites. When estimating the impact of high school graduation only, OLS and IV estimators estimate different weighted sums of the impact of each schooling progression on the probability of incarceration. We clarify the relationship between OLS and IV estimates and show that the 'weights' placed on the impact of each schooling progression can explain differences in the estimates. Overall, the estimates suggest that completing high school reduces the probability of incarceration by about .76 percentage points for whites and 3.4 percentage points for blacks. We corroborate these findings using FBI data on arrests that distinguish among different types of crimes. The biggest impacts of graduation are associated with murder, assault, and motor vehicle theft. We also examine the effect of drop out on self-reported crime in the NLSY and find that our estimates for imprisonment and arrest are caused by changes in criminal behavior and not educational differences in the probability of arrest or incarceration conditional on crime. We estimate that the externality of education is about 14-26% of the private return to schooling, suggesting that a significant part of the social return to education comes in the form of externalities from crime reduction.

[1]  Brian A. Jacob,et al.  Are Idle Hands the Devil's Workshop? Incapacitation, Concentration and Juvenile Crime , 2003 .

[2]  J. Heckman,et al.  Human Capital Policy , 2003, SSRN Electronic Journal.

[3]  Steven D. Levitt,et al.  Using Electoral Cycles in Police Hiring to Estimate the Effect of Police on Crime: Comment , 2002 .

[4]  Enrico Moretti,et al.  Estimating the Social Return to Higher Education: Evidence from Longitudinal and Repeated Cross-Sectional Data , 2002 .

[5]  A. Lleras-Muney Were Compulsory and Child Labor Laws Effective? An Analysis from 1915 to 1939 , 2002 .

[6]  Adriana Lleras Muney WERE COMPULSORY ATTENDANCE AND CHILD LABOR LAWS EFFECTIVE? AN ANALYSIS FROM 1915 TO 1939 , 2002 .

[7]  David B. Mustard Racial, Ethnic, and Gender Disparities in Sentencing: Evidence from the U.S. Federal Courts* , 2001, The Journal of Law and Economics.

[8]  Steven Raphael,et al.  Identifying the Effect of Unemployment on Crime* , 2001, The Journal of Law and Economics.

[9]  S. Raphael,et al.  School-Based Peer Effects and Juvenile Behavior , 1997, Review of Economics and Statistics.

[10]  Bruce A. Weinberg,et al.  Crime Rates and Local Labor Market Opportunities In the United States: 1979-1997 , 2000 .

[11]  Edward Vytlacil,et al.  Local Instrumental Variables , 2000 .

[12]  Jinyong Hahn,et al.  A New Specification Test for the Validity of Instrumental Variables , 2000 .

[13]  David B. Mustard Racial, Ethnic and Gender Disparities in Sentencing: Evidence from the US Federal Courts , 2000 .

[14]  Lance Lochner,et al.  Education, Work, and Crime: Theory and Evidence , 1999 .

[15]  Jeffrey R. Kling,et al.  The Effect of Prison Sentence Length on the Subsequent Employment and Earnings of Criminal Defendants , 1999 .

[16]  David Card The Causal Effect of Education on Learning , 1999 .

[17]  Steven D. Levitt,et al.  Juvenile Crime and Punishment , 1997, Journal of Political Economy.

[18]  Jeffrey T. Grogger,et al.  Market Wages and Youth Crime , 1997, Journal of Labor Economics.

[19]  James J. Heckman,et al.  Instrumental Variables Methods for the Correlated Random Coefficient Model: Estimating the Average Rate of Return to Schooling When the Return is Correlated with Schooling , 1998 .

[20]  N. Stacey Social Benefits of Education , 1998 .

[21]  J. Wooldridge On two stage least squares estimation of the average treatment effect in a random coefficient model , 1997 .

[22]  J. Heckman Instrumental Variables: A Study of Implicit Behavioral Assumptions Used in Making Program Evaluations. , 1997 .

[23]  S. Yitzhaki On Using Linear Regressions in Welfare Economics , 1996 .

[24]  Richard B. Freeman,et al.  Why Do so Many Young American Men Commit Crimes and What Might We Do About it? , 1996 .

[25]  J. Angrist,et al.  Two-Stage Least Squares Estimation of Average Causal Effects in Models with Variable Treatment Intensity , 1995 .

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

[27]  Steven D. Levitt,et al.  Using Electoral Cycles in Police Hiring to Estimate the Effect of Policeon Crime , 1995 .

[28]  Casey B. Mulligan,et al.  The Endogenous Determination of Time Preference , 1997 .

[29]  David Card Earnings, Schooling, and Ability Revisited , 1994 .

[30]  Michael Wolfe,et al.  J+ = J , 1994, ACM SIGPLAN Notices.

[31]  Paul A. Bekker,et al.  ALTERNATIVE APPROXIMATIONS TO THE DISTRIBUTIONS OF INSTRUMENTAL VARIABLE ESTIMATORS , 1994 .

[32]  J. Stock,et al.  Instrumental Variables Regression with Weak Instruments , 1994 .

[33]  J. Lynch,et al.  Profile of Inmates in the United States and in England and Wales, 1991: (518942006-001) , 1994 .

[34]  A. Witte,et al.  Criminal Deterrence: Revisiting the Issue with a Birth Cohort , 1993 .

[35]  J. Angrist,et al.  Identification and Estimation of Local Average Treatment Effects , 1994 .

[36]  Whitney K. Newey,et al.  Efficient estimation of limited dependent variable models with endogenous explanatory variables , 1987 .

[37]  Ted Chiricos,et al.  Rates of Crime and Unemployment: An Analysis of Aggregate Research Evidence , 1987 .

[38]  D. Farrington,et al.  UNEMPLOYMENT, SCHOOL LEAVING, AND CRIME , 1986 .

[39]  Kevin Lang,et al.  Human Capital Versus Sorting: The Effects of Compulsory Attendance Laws , 1986 .

[40]  W. Viscusi Market Incentives for Criminal Behavior , 1986 .

[41]  J. Heckman,et al.  Longitudinal Analysis of Labor Market Data: Alternative methods for evaluating the impact of interventions , 1985 .

[42]  James J. Heckman,et al.  Alternative methods for evaluating the impact of interventions: An overview , 1985 .

[43]  James J. Heckman,et al.  Longitudinal Analysis of Labor Market Data , 1985 .

[44]  John E. Garen,et al.  The Returns to Schooling: A Selectivity Bias Approach with a Continuous Choice Variable , 1984 .

[45]  James F. Wilson Crime and public policy , 1984 .

[46]  D. Gottfredson Youth Employment, Crime, and Schooling: A Longitudinal Study of a National Sample. , 1984 .

[47]  Lawrence Kotin,et al.  Legal foundations of compulsory school attendance , 1979 .

[48]  R. Freeman Crime and Unemployment , 1921, The Hospital.

[49]  Don D. Lescohier,et al.  The Labor Market , 1919 .

[50]  T. Miller,et al.  O F Jus Tice Pr O G Ra Ms Bja N National Institute of Justice Victim Costs and Consequences: a New Look Victim Costs and Consequences: a New Look Introduction , 2022 .