Key Players. Criminal Behavior. Todays lecture. Todays lecture. Measuring Crime. Measuring Crime

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Key Players Defendant

Criminal Behavior Jury Police

Eyewitnesses Judge

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Todays lecture • • • •

Todays lecture

Studying the Crime Commission Act Measuring criminal behavior Economic model of crime choices Empirical work on what policies affect crime?

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Studying the Crime Commission Act Measuring criminal behavior Economic model of crime choices What policies affect crime?

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Measuring Crime

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Measuring Crime

• 1997:

• Reports, 1997:

– 13.5 million crimes reported to police. – 5079 crimes per 100,000 – Source: FBI Uniform Crime Reporting Program

– 13.5 million crimes reported to police. – 5079 crimes per 100,000

• Individual victimization surveys, 1997 – 36.8 million crimes reported by victims – 13845 crimes per 100,000

• What to think of reliability of this statistic?

• Source: National Victimization Survey

• Recall reasons for discrepancy 5

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Police versus Victimization Reports

Another Source of Data • Self reports – Example: – 2.6% of adults reported that they had committed a felony in the past year

• Why use this data? • Problems with this data?

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Who commits crimes?

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Why?

• You guys do • 72% of persons arrested were aged 13-34

• Why age difference?

– 32% of the population

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Who commits crimes?

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Why?

• You GUYS do

• Why a gender difference?

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Who Commits Crimes?

Who Commits Crimes?

• Large Racial differences

• Large Racial differences

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Why?

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Who Commits Crimes?

• Why a racial difference?

• Large educational differences • 1991 survey of prison inmates: – 2/3 had not graduated from high school – Note: Many obtained GED

• 12% of all male high school dropouts were incarcerated in 1993. More today. • Ok, so not you guys. 15

Why Educational Difference?

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Who Commits Crimes? • A few people do. Crimes are concentrated • Original study: – Philadelphia, 1945. 18% of delinquents comm. 52% of crimes.

• Recent estimates – California: upper half of offenders commit 10.6 crimes per year

• Implication: – High recidivism 17

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Why high concentration?

Time Series of Crime • Huge crime wave in 60s, 70s • Big reduction in crime in late 90s • Huge increase in arrests

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Implication of Arrests

Todays lecture

• What ought to have happened to crime rate as arrests sky rocketed? • Recall: high concentration of crimes • Crime should have dropped to zero. • Why didn’t it?

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Studying the Crime Commission Act Measuring criminal behavior Economic model of crime choices What policies affect crime?

– Criminality increasing – Other criminals coming in • Need a framework for understanding supply (& “Demand” for Crime). 21

Criminal Behavior as choice

Criminal Behavior as choice • Net Benefits of committing crime

• Net Benefits of committing crime

(1 − p ) U (C ) − {p U ( S ) 123 123 1 23

Not Caught Benefit

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(1 − p ) U (C ) − {p U ( S ) 123 123 1 23

Caught Penalty

Not Caught Benefit

Caught Penalty

• Opportunity Cost

• Compare to 0?

U (W ) 123

Market Wage 23

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Demand and Supply Framework

Equilibrium

• Supply of crime – Benefits of crime • Wage rates, unemployment

Crime

Demand

• “Demand” for crime

Supply

– Prevention activities • Threat of incarceration

Benefits from Crime 25

Change in Penalties

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Incapacitation effect How to think about incapacitation effect here?

Crime

Demand Supply

Benefits from Crime 27

Incapacitation effect

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Perfect Crowd Out Case

How to think about incapacitation effect here? Crime

Demand

Crime

Demand

Supply

Supply

Benefits from Crime

Benefits from Crime 29

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Lesson

Empirical Evidence for Model • Relation between Unemployment and Crime

• Incapacitation doesn’t result in 1 for 1 crowd out of crime because there is a supply curve.

– Some in time series/state panel • Too small to explain variation in crime • High estimate: 1 point increase in unemployment leads to 1.1% drop in property crime

• Unemployed more likely to commit crimes – Some evidence – Transitional Aid Research Project (return to later) 31

Empirical Evidence for Model

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Can this model explain other facts? • Education?

• Why such a low link? • Not a tradeoff?

• Race?

– Experienced drug dealers often hold legal jobs

• Gender?

• Why? • Concentration amongst few people?

– Only those on verge of incarceration show great reduction in crime

• Geographic concentration?

• Effect of Sanctions • Time Series? 33

Todays lecture • • • •

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Policies and Questions

Studying the Crime Commission Act Measuring criminal behavior Economic model of crime choices What policies affect crime?

• Cost Effectiveness of Imprisonment – Is imprisonment worth it? • Should we do more? • Should we do less?

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Estimating Benefits of Crime Prevention

Estimating costs-Problems • Should a dollar stolen really count as a dollar lost to society?

• Zedlewski early application • Calculate aggregate costs of crime

– Allocation? Redistribution?

– C = E- L + G – Cost of crime equals:

• Should we really value the disutility of punishment at zero? – What if we fined criminals $1000?

• Efficiency costs. What are these? • Losses incurred • Gains to criminals if any

• Should we not place value on ensuring equal treatment? • Should we not value material losses of poor more than the wealthy? • Should we not consider long run costs/benefits?

• What does this exclude? – Cost to criminals? – Longer run costs/benefits? 37

Zedlewski

Calculating costs of crime • Estimate aggregate costs of crime • Look at expenditures on crime prevention

• Step 1: Calculate cost of confinement – $20,000 per annum. – What might be missing here?

Expenditure – 1983 Billions

• Step 2: Calculate costs of crime

Firearms

– How to do this practically? – Zedlewski’s approach. Estimate total expenditures on crime prevention. Divide by # of crimes. Why is this an approximation? 39

Calculating Costs of Crime

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Guard dogs

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Victim losses

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Criminal justice

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Commercial security

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Total:

99.8

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Zedlewski

• Compute total crimes – How? – Self reports

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• Step 1: Calculate cost of confinement

Crimes - 1983* (Millions)

– $20,000 per annum. – What might be missing here?

Violence

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Robbery

1.4

Burglary

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Larceny

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Total

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• Step 2: Calculate costs of crime – Roughly $2300 per crime

• Step 3: Net Benefit of imprisonment – Benefit: Cost of crimes averted*number of crimes – How to measure number of crimes averted? – Zedlewski: Use # of crimes reported by those in jail. 41

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Number of crimes

Total Calculation

• Self reported number of crimes

• Benefits = 187*($2300) • Costs= $25,000 • Ratio: (187*2300)/25000 = 17 to 1 benefit to cost ratio. • Implications

– 187 is mean number of crimes in questionnaire to inmates

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Problems?

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Problems

• What are the problems?

• Marginal versus average criminal • Is 187 realistic? • What are we assuming about supply of crime?

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Observation

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Dilulio=Piehl • Step 1: Calculate cost of confinement

• Mean number of crimes: 187 • Median in same survey: 15

– $25,000 per annum.

• Step 2: Calculate costs of crime

– Why such a discrepancy

– Jury awards for victims

• What happens to cost benefit if we use 15?

• Step 3: Net Benefit of imprisonment – Cost of Imprisonment – Benefit: Cost of crimes averted*number of crimes

– 1.38

• What happens if we use 10? – .92

• Very similar approach 47

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Social Costs of Crime

Number of Crimes

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Costs per offender

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Costs per offender

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Net Benefits

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Problems • Deep problems with number of crimes per prisoner calculations • Distortions in self-reports of crime – Self reports of arrests – Those with few arrests underestimate. Those with many overestimate

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Problems

Problems

• Stocks and Flows

• Replacement effects. Supply of crime • Career lengths

– Those released from prison not the same as those in prison – Note this makes counterfactual (increase prison length) biased

– 20 year old committed 40 crimes last year – 20 year sentence. How many crimes averted? – 30 year sentence. How many crimes averted?

• Marginal versus average criminality – Who gets in jail? – Crimes committed right before arrest 55

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Conclusion • Estimates too noisy to say something specific • Make many assumptions that may be quite false.

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Consider a simple policy

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Estimating Effects

• Penalty for murder: 20 years • Penalty for murder: 30 years • What will the effects be?

• Regress Crime rate on: – Probability of arrest/conviction – Sentence Length

– Deterrence – Incapacitation – Supply effects (equilibrium)

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Problems?

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Different Strategy

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Overcrowding Litigation

• Look for legal changes • Can we use changes in penalty severity?

• Levitt makes interesting observation: • Prios rights groups brought suits about overcrowded prisons • Courts sometimes responded by bringing prisons under court control

– What are the problems here?

– Most often: population caps imposed – State governments respond • How might they respond? 63

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Why better than penalty changes?

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Problems?

How do we interpret this? • Does this tell us about deterrence versus incapacitation? • How could we get at this?

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Proposition 8

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Why is this a test?

• Passed June 8, 1982. Effect next day • Pre-Prop 8:

• How would you use this to test for deterrence rather than incapacitation?

– 3 year enhancement of violent felony offenders’ sentences for each prison term for violent felony – 1 year enhancement of nonviolent felony offenders’ sentence for each prior prison term

• Prop 8: All “serious” felony offenders – 5 year enhancement for each prior conviction of a serious felony or a 1 year enhancement for prior prison term for any offense. Whichever larger

• Increase range for “prior” and prohibits concurrent enhancements 69

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Social Programs • What is an alternative to incarceration? – Prevention – Social programs

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Conclusion

Thought Experiment

• Numerous social programs

• Imprison or • Target young males

– Positive impacts – Some work, some don’t

• Types: – Early intervention – High risk adolescents – Labor market interventions • Job corps 77

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Conclusion • Prevention appears better than incarceration • But all these calculations assume there is no supply of crime. • Don’t have great handle on empirics of crime yet.

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