Llad Phillips1 Part I Strategies to Estimate Deterrence Part II Optimization of the Criminal Justice System

Llad Phillips2 Outline _ Human Capital & Other News _ Studying for the Midterm _ Deterrence: _ Evidence pro _ Evidence con

Llad Phillips3 Human Capital news

Llad Phillips4 About 60% Of 9 th graders Get a diploma somewhere

Llad Phillips5 The high Hurdle? Algebra

Llad Phillips6 Studying For the Midterm _

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Llad Phillips12 Deterrence: conceptual issues _ _ Controlling for causality _ _ Simultaneity

Llad Phillips13 Source: Report to the Nation on Crime and Justice Expect Get

Llad Phillips14 Crime Generation Crime Control Offense Rate Per Capita Expected Cost of Punishment Schematic of the Criminal Justice System Causes ? (detention, deterrence) Expenditures Weak Link Control for Causality

Llad Phillips15 Crime Generation Crime Control Offense Rate Per Capita Expected Cost of Punishment Schematic of the Criminal Justice System Causes ? (detention, deterrence) Expenditures Weak Link Recognize Simultaneity

Llad Phillips16 News Over the Weekend _ Deep Recession high Unemployment rate Keynesian Economics drop money from a helicopter? Or invest in infrastructure? TransportationEnergyindependencegreen

Llad Phillips17 Greening the Earth _ Greening UCSB _ Rec-Cen

Llad Phillips18 Human development Index and Electricity Use

Llad Phillips19 Production Function

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Llad Phillips23 Policy Comment About Economic Development _ _ An Obama Keynesian strategy: invest in infrastructure _ _ Past investments in infrastructure _ _ Canals _ _ Railroads _ _ Paved roads _ _ Airways _ _ ?

Llad Phillips24 Cesare Marchetti “Fifty-Year Pulsation In Human Affairs” Futures 17(3): (1986) MARCHETTI-069.pdf MARCHETTI-069.pdf Cesare Marchetti “Fifty-Year Pulsation In Human Affairs” Futures 17(3): (1986) MARCHETTI-069.pdf MARCHETTI-069.pdf _ _ Example: the construction of railroad miles is logistically distributed

Llad Phillips25 90%10%

Llad Phillips26 Cesare Marchetti

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Llad Phillips28 Cesare Marchetti: Energy Technology: Coal, Oil, Gas, Nuclear 52 years57 years56 years

Llad Phillips29 Cesare Marchetti

Llad Phillips30 Theodore Modis Figure 4. The data points represent the percentage deviation of energy consumption in the US from the natural growth-trend indicated by a fitted S-curve. The gray band is an 8% interval around a sine wave with period 56 years. The black dots and black triangles show what happened after the graph was first put together in 1988.[7] Presently we are entering a “spring” season. WWI occurred in late “summer” whereas WWII in late “winter”.

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Llad Phillips33 Causality? Misery IndexOffense Rate Mystery Force

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Llad Phillips35 Crime Generation Crime Control Offense Rate Per Capita Expected Cost of Punishment Schematic of the Criminal Justice System Causes ? (detention, deterrence) Expenditures Weak Link Control for Causality

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Llad Phillips40 Part I Strategies to Estimate Deterrence

Llad Phillips41 Questions About Crime _ Why is it difficult to empirically demonstrate the control effect of deterrence on crime? _ What is the empirical evidence that raises questions about deterrence? _ What is the empirical evidence that supports deterrence?

Llad Phillips42 Evidence Against the Death Penalty Being a Deterrent _ Contiguous States _ Maine: no death penalty _ Vermont: death penalty _ New Hampshire: death penalty _ Little Variation in the Homicide Rate _ Source: Study by Thorsten Sellin in Hugo Bedau, The Death Penalty in America

Llad Phillips44 Isaac Ehrlich Study of the Death Penalty: _ Homicide Rate Per Capita _ Control Variables _ probability of arrest _ probability of conviction given charged _ Probability of execution given conviction _ Causal Variables _ labor force participation rate _ unemployment rate _ percent population aged years _ permanent income _ trend

Ehrlich Results: Elasticities of Homicide with respect to Controls Source: Isaac Ehrlich, “The Deterrent Effect of Capital Punishment

Llad Phillips46 Critique of Ehrlich by Death Penalty Opponents _ Time period used: _ period of declining probability of execution _ Ehrlich did not include probability of imprisonment given conviction as a control variable _ Causal variables included are unconvincing as causes of homicide

Llad Phillips47 U.S. United States Bureau of Justice Statistics

Llad Phillips48 U.S. United States Bureau of Justice Statistics

Llad Phillips49 What is the Empirical Evidence that Supports Deterrence? _ Domestic violence and police intervention _ Experiments with control groups _ Traffic Black Spots _ Focused enforcement efforts

Llad Phillips50 Traffic Black Spots _ Blood Alley _ Highway 126 _ San Marcos Pass _ Highway 154

Llad Phillips51 San Marcos Pass Experiment _ Increase Highway Patrols _ Increase Arrests _ Total accidents decrease _ Injury accidents decrease _ Accidents involving drinking under the influence decrease

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Los Angeles Traffic Map

Llad Phillips54 Domestic Violence & Police Intervention

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Llad Phillips56 Female Victims of Violent Crime,

Llad Phillips57 Homicides of Intimates,

Llad Phillips58 Female Victims of Violent Crime _ In 1994 _ 1 homicide for every 23,000 women (12 or older) _ females represented 23% of homicide victims in US _ 9 out of 10 female victims were murdered by males _ 1 rape for every 270 women _ 1 robbery for every 240 women _ 1 assault for every 29 women

Victims of Lone Offenders* Annual Average Numbers

Llad Phillips60 United States Bureau of Justice Statistics

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Llad Phillips62 Average Annual Rate of Violent Victimizations Per 1000 Females

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Llad Phillips64 Declining Trends in Intimate Violence: Homicide

Llad Phillips65 Nonfatal Violent victimization Rates

Llad Phillips66 United States Bureau of Justice Statistics

Llad Phillips67 United States Bureau of Justice Statistics

Llad Phillips68 United States Bureau of Justice Statistics

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Llad Phillips70 Nonfatal intimate Victimization Rates By Age

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Llad Phillips72 Female victimization rates by relationship

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Llad Phillips76 Intimate homicides by weapon type

Llad Phillips77 Domestic Violence in California

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Llad Phillips79 Domestic Violence Rates in California: : per : per 100,000

Llad Phillips80 Domestic Violence in California 1988: 94% Male Arrests 1998: 83.5% Male Arrests

Llad Phillips81 Police Intervention with Experimental Controls _ A 911 call from a family member _ the case is randomly assigned for “treatment” _ A police patrol responds and visits the household _ police calm down the family members _ based on the treatment randomly assigned, the police carry out the sanctions

Llad Phillips82 Why is Treatment Assigned Randomly? _ To control for unknown causal factors _ assign known numbers of cases, for example equal numbers, to each treatment _ with this procedure, there should be an even distribution of difficult cases in each treatment group

Llad Phillips call (characteristics of household Participants unknown) Random Assignment code blue code gold patrol responds settles the household verbally warn the husbandtake the husband to jail for the night

Llad Phillips84 Part II Optimization of the Criminal Justice System

Llad Phillips85 Questions About Statistical Studies of Deterrence _ Do we know enough about the factors that cause crime? _ Can we find variables that will control for variation in crime generation? _ We have better measures for the factors that control crime than for the factors that cause crime. _ Unknown variation in crime generation may mask the effects of crime control.

Llad Phillips86 Crime Generation Crime Control Offense Rate Per Capita Expected Cost of Punishment Schematic of the Criminal Justice System Causes ? (detention, deterrence) Expenditures Weak Link

per capita expenditures on CJS offense rate per capita Four-Way Diagram: Crime Generation & Crime Control 1 2 3

Source: Report to the Nation on Crime and Justice

control Causal factors

Expenditures per Capita Offenses Per Capita Crime Control Technology South Dakota North Dakota 2500 Index crimes per 100,000 people $100 $0 0

Llad Phillips91 Optimization of the Criminal Justice System (CJS) _ Minimize damages to victims plus the costs of control, subject to the crime control technology _ damages to victims per capita = loss rate per offense * offense rate per capita _ Costs of control = per capita expenditures on CJS _ Total cost = damages + expenditures

Expenditures per Capita Offenses Per Capita Crime Control Technology South Dakota North Dakota 2500 Index crimes per 100,000 people $100 Total cost = expenditures per capita $200 $0 0

Expenditures per Capita Offenses Per Capita Crime Control Technology South Dakota North Dakota 2500 Index crimes per 100,000 people $100 Total cost = expenditures per capita Total cost = damages to victims $200 $ Index offenses per 100,000 people = 0.05 per capita

Llad Phillips94 Expenditures per Capita Offenses Per Capita Crime Control Technology South Dakota North Dakota Index crimes per capita $100 Total cost = expenditures per capita Total cost = damages to victims Total cost = $200 per capita = damages to victims = loss rate*0.05 so loss rate = $4,000 per Index Crime in South Dakota $200 $0 0

Source: Phillips: Lecture One

Llad Phillips96 Expenditures per capita Offenses Per Capita 2500 Index crimes per 100,000 people $100 Total cost = expenditures per capita Total cost = damages to victims Family of Total Cost Curves High Low

Llad Phillips97 Expenditures per Capita Offenses Per Capita Crime Control Technology South Dakota North Dakota 2500 Index crimes per 100,000 people $100 Total cost = expenditures per capita Total cost = damages to victims

Llad Phillips98 Application of the Economic Paradigm _ Specify the feasible options _ the states of the world: Crime control technology _ Value the options _ loss rate per offense _ Optimize _ Pick the lowest cost point on the crime control technology

That’s all folks!

Crime Generation 1. variation of offense rate per capita with expected cost of punishment 2. Shift in the relationship with a change in causal factors Offense rate per capita Expected cost(severity) of punishment crime generation function

Crime Generation 1. variation of offense rate per capita with expected cost of punishment 2. Shift in the relationship with a change in causal factors Offense rate per capita Expected cost(severity) of punishment crime generation function High causal conditions Low causal conditions

Production Function for the Criminal Justice System (CJS) 1. Variation in expected costs of punishment with criminal justice system expenditure per capita Expected costs of punishment Criminal Justice System expenditures per capita production function

per capita expenditures on CJS offense rate per capita expected cost of punishment Crime Generation Four-Way Diagram: Crime Generation & Crime Control

per capita expenditures on CJS offense rate per capita expected cost of punishment Crime Generation Four-Way Diagram: Crime Generation & Crime Control per capita expenditures on CJS Production Function

per capita expenditures on CJS offense rate per capita expected cost of punishment Crime Generation Four-Way Diagram: Crime Generation & Crime Control per capita expenditures on CJS Production Function square 45 0

per capita expenditures on CJS offense rate per capita expected cost of punishment Crime Generation Four-Way Diagram: Crime Generation & Crime Control per capita expenditures on CJS Production Function square

per capita expenditures on CJS offense rate per capita expected cost of punishment Crime Generation Four-Way Diagram: Crime Generation & Crime Control per capita expenditures on CJS Production Function square

per capita expenditures on CJS offense rate per capita expected cost of punishment Crime Generation Four-Way Diagram: Crime Generation & Crime Control per capita expenditures on CJS Production Function square

per capita expenditures on CJS offense rate per capita expected cost of punishment Crime Generation Four-Way Diagram: Crime Generation & Crime Control per capita expenditures on CJS Production Function square

per capita expenditures on CJS offense rate per capita expected cost of punishment Crime Generation Four-Way Diagram: Crime Generation & Crime Control per capita expenditures on CJS Production Function square

per capita expenditures on CJS offense rate per capita expected cost of punishment Crime Generation Four-Way Diagram: Crime Generation & Crime Control per capita expenditures on CJS Production Function square

per capita expenditures on CJS offense rate per capita expected cost of punishment Crime Generation Four-Way Diagram: Crime Generation & Crime Control per capita expenditures on CJS Production Function square

Llad Phillips113 Female Victims of Violent Crime

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Long Swings in the Homicide Rate in the US: Source: Report to the Nation on Crime and Justice

Llad Phillips118 United States Bureau of Justice Statistics Long Swings in The Homicide Rate

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