Economics 160 Lecture 5 Professor Votey Law Enforcement Effectiveness: Productivity Votey 2, Notes: pp. 30-18 The Science of Decisionmaking Methodology: The Economic Paradigm Recall 3 Steps (Notes, pp 3,4) 1. Specification: Specify the Alternative States of the World 2. Valuation: Establish a Value System, e.g. Prices 3. Optimization: Picking the “Best” Solution Profit Maximization, Cost Minimization Minimizing the Net Social Costs of Crime: An Application of Economic Decisionmaking The Tool: Some Form of Cost/Benefit Analysis Costs Social Costs of Crime (SC) Costs to Victims (VC) Control Costs (CC) Notes, p. 4 OF* Minimum Social Cost of Crime Offenses (Crime Level) Minimizing the Net Social Costs of Crime: An Application of Economic Decision-making The Tool: Some Form of Cost/Benefit Analysis We referred to: E. J. Mishan, Cost-Benefit Analysis, Ch. 3, in REFERENCES (RBR)* Costs Social Costs of Crime (SC) VC Costs to Victims Control Costs (CC) OF* Minimum Social Cost of Crime Offenses (Crime Level) *Ed Mishan, an English economist is a well known figure to the older members of the Econ Department, having been an academic visitor here on at least two occasions (the two during my time here which began in Fall 1966). He is one of the internationally known economists who played a role in developing the economic science behind the huge infrastructure investments made during the Great Depression that created such enormous projects as the Hoover Dam on the Colorado River. That same science would form the basis for any public projects today that might be undertaken to create jobs and repair U. S. infrastructure as has been recently proposed. Since those days, there has been much criticism of such investments, mostly by individuals who believe that any investments by society should be limited to the private sector since they believe only markets can lead to efficient outcomes. Interestingly, the Hoover Dam, arguably the largest public project undertaken by any country up to that time, was completed under budget and ahead of schedule. There have been many criticisms of such fiscal policy stimulants as originally advocated by the British economist John Maynard Keynes. They do take time to work and only seem to work markedly on a massive scale. Our economy did not fully recover during the 1930’s, but the policy was certainly vindicated by our participation in WW II, when we put 16,000,000 people to work in the military while going from a third rate to the greatest military establishment in the world with a two ocean navy and an air force second to none, both of which we continued to maintain following the war, while simultaneously paying for the rebuilding of the economies of both our allies and enemies with Marshall Plan Aid, and while paying off our own debt that we undertook to fight the war. Minimizing the Costs of Crime Minimizing the Costs of Crime Objective: Min SC = VC + CC Notes, p 5 Minimizing the Costs of Crime Objective: Min SC = VC + CC The Logic: The minimum social cost of crime is the smallest sum We could realize, of victim costs plus the costs of crime control. If we minimize the costs of a “BAD”, we have more of our resources left to spend on “GOODS”. Recall from Lecture 1 the circular flow diagram that represented the interacting system of Crime Generation and Control OFFENSES Output Crime Generation Input Deterrence Detention Rehabilitation (Retribution) Resources Input Crime Control (Social Defense) Output Text Reference: Economics of Crime Control, Chapter 9 and in Notes, p13 Economic Notions of Productivity Consider A Steel Mill – an example from heavy industry Resources: Raw Materials: Iron Ore, Coal, Limestone Labor: Variety of Skills Capital: Blast Furnace, Oxygen Furnace Rolling Mills, Plating Mills Technology: Means of Linking Inputs Output: Iron, Finished Steel How does one make a Reasonable Analogy between a typical production process and the Criminal Justice System? Next: Conceiving of Outputs The Criminal Justice System Theory 1. Basis for Defining/Identifying Outputs A Schematic 1. Functions 2. Stages of Operation 3. Operating Entities 2. Basis for Evaluating Effectiveness Empirical Evidence Notes, p 14, Figure 2.2 Criminal Justice System: The Real World Process Input OF Law Enforcement POLICE FORCE Produces ARRESTS Function Operating Entity Prosecution Stage 2 DA COMPLAINTS COMPLAINTS Adjudication INDICTMENTS COURTS INPUTS/ OUTPUTS ? Stage 1 CONVICTION (guilty) DISMISSAL (not guilty) Stage 3 Stage 4 Corrections or Punishment JAILS,PRISON,PROBATION RELEASE (PAROLE) How Good is the output analogy in cases of non-market decision making? Consider other Public Service Industries: Education - What is the output? Number of Students ? - or are these inputs? Number of Graduates? Hospitals - What is the Output? Number of Patients ? Again, this is an input Lives Saved? For how long? What determines hospitals’ rankings? An Aside - about the past Physical Outputs in a Command Economy – How are they measured? A story from? George Karcz Or maybe Doug Morgan About Light Fixtures What did we decide was the proper social objective with respect to CRIME? Minimizing the Social Cost Minimizing the Social Cost What does this mean in terms of productivity? Minimizing the Social Cost What does this mean in terms of productivity? Reducing Crime Numbers or Seriousness (or both) Minimizing the Social Cost Notes, p.5 Recall: Social Cost Minimization implies: Min SC = VC + CC i.e., Victim Costs + Control Costs Irrespective of the values we place on individual offenses, as long as they are positive, Social Cost Minimization requires Reducing Crime Numbers or Seriousness Minimizing the Social Cost Recall: Social Cost Minimization implies: Min SC = VC + CC i.e., Victim Costs + Control Costs Irrespective of the values we place on individual offenses, as long as they are positive, Social Cost Minimization requires Reducing Crime Numbers or Seriousness or Reducing Control Costs Minimizing the Social Cost Recall: Social Cost Minimization implies: Min SC = VC + CC i.e., Victim Costs + Control Costs Irrespective of the values we place on individual offenses, as long as they are positive, Social Cost Minimization requires Reducing Crime Numbers or Seriousness or Reducing Control Costs Consider the Circular Flow Process: (again) Minimizing the Social Cost Irrespective of the values we place on individual offenses, as long as they are positive, Social Cost Minimization requires Reducing Crime Numbers or Seriousness (or control costs) Recall: Social Cost Minimization implies: Min SC = VC + CC i.e., Victim Costs + Control Costs Consider the Circular Flow Process: (again) OFFENSES Output Crime Generation Input Notes, p. 5 Deterrence Detention Rehabilitation (Retribution) Resources Input Crime Control (Social Defense) Output Minimizing the Social Cost Recall: Social Cost Minimization implies: Min SC = VC + CC i.e., Victim Costs + Control Costs on individual offenses, as long as they are positive, Social Cost Minimization requires Reducing Crime Numbers or Seriousness (or both) Consider the Circular Flow Process: (again) Irrespective of the values we place OFFENSES Output Crime Generation Input Deterrence Detention Rehabilitation (Retribution) Victim Costs + Resources Input Crime Control (Social Defense) Output Looking at the Circular Flow Process, One observes that Arrests and Offenses seem to move together Separating the Effects Resort to the Economic Paradigm and Economic Decision Theory Appeal to the approach of The Utilitarians Jeremy Bentham - the father of . . . Modern Economic Decision Theory Evaluating Results Based on Expected Net Benefits What we are trying to do at this point? Find out what works to control crime. But we want to find out the BEST way, optimization, i.e. determining Best Policy It is great to have a theory It is better to have a theory that we know works. With appropriate research a theoretical model becomes a policy model This work facilitates the implementation of the Economic Paradigm Economic Decision Theory in a Nutshell Expected Net Benefits (of any action): Expected Net Benefits = Expected Benefits - Expected Costs E(NB) = E(B) E(C) In terms of value: the Value of the Expectation = $B x P(B) - $C x P(C) The Basis for: The decision from the potential criminal’s point of view? And The logical counter policy from Society’s point of view? These are two sides of the same coin Working within the framework of the Criminal Justice System Bentham’s focus: “Pain” - the institutional counterpart: Punishment via the system of Corrections Enlarging the Expectation: Increase the likelihood of pain We call this combination of activities Deterrence The Criminal Justice System: is involved at every stage Raising the expected cost implies: $C x P(C) = P(Arrest) x P(Conv|Arrest) x P(Jail|Conv) x $Jail Each Stage contributes to the reduction in CRIME Criminal Justice System Measures of Output Quantity Measures A. The number of Arrests Made on basis of probable cause B. Arrest Ratio(a relative measure) = AR = Arrests / Offenses Was declining in 1960’s and ‘70’s for U.S. and California Q. Do Arrests deter crime? Sjoquist, American Economic Review (1973) – in References San Diego Problem: Arrests may not be best measure Criminal Justice System Measures of Output (-cont.) Quality Measures A. Clearances (an absolute measure) crimes cleared by arrest = CL The last burglar - an example B. Clearance Ratio (a relative measure) = CR = Clearances / Offenses Problems with the Clearance Ratio System Quality A. Convictions (an absolute measure) Outcome determined in a court of law Criminal Justice System Measures of Output (-cont.) B. Conviction Ratio (a relative measure) CR = Felony Convictions / Offenses (sometimes CR) Other Measures A. Police Ratio = Complaints (filed in courts) / Offenses measures combined quality of Police & DA efforts B. Complaints Ratio = Complaints (filed w/DA) / Arrests measures quality of Police efforts by DA Output Measures Compared for Homicide in California What was happening to felony offense rates in California and the U. S. ? Text, p 65 The Decline of Criminal Justice Effectiveness The Effect of Increasing Expenditures for Law Enforcement in California and the U. S. How Do We Use Output Measures to Evaluate the System? Economic Production Theory Output Case of: Constant Returns to Scale Fixed Proportions Inputs Notes, Fig.2.3, p.16 Economic Production Theory Applied to Law Enforcement Case of: Varying Proportions CL CL Production: CL = f( OF, L) OFFENSES (load on the System) RESOURCES (labor) Assumes the load on the System (offenses) is held fixed An example of Diminishing Returns L What if we hold Resources Fixed and Increase Offenses? Notes, Fig. 2.5, p 17 Economic Production Theory Applied to Law Enforcement Case of: Varying Proportions CL CL Production: CL = f( OF, L) OFFENSES (load on the System) Assumes System Resources are held fixed while offenses vary RESOURCES (labor) OF Notes, Fig. 2.5, p.17 Economic Production Theory Applied to Law Enforcement Case of: Varying Proportions CL CL Production: CL = f( OF, L) OFFENSES (load on the System) Assumes System Resources are held fixed while offenses vary RESOURCES (labor) OF So much for Productivity, What does this imply about Police Effectiveness? Determining Police Effectiveness CL CL1 0 A OF1 Notes Fig. 2.6, p.17 OF Determining Police Effectiveness CL A CL1 How do we measure Police Effectiveness? Notes Fig. 2.6, p.17 a 0 OF1 As Slope of 0A = tan a = OF to A = CL1 0 to OF1 OF1 OF Determining Police Effectiveness CL A CL1 How do we measure Police Effectiveness? Notes Fig. 2.6, p.17 a 0 OF1 As Slope of 0A = tan a = OF1 A = CL1 0 OF1 OF1 OF Does anyone recall what this is? Determining Police Effectiveness CL A CL1 Notes Fig. 2.6, p.17 a 0 OF1 OF tan a = OF1 A = CL1 = CR1 The CLEARANCE RATIO 0 OF1 OF1 To plot the Clearance Ratio for various Offense Levels CL B CL2 A CL1 a 0 Notes Fig. 2.6, p.17 OF1 OF2 OF To plot the Clearance Ratio for various Offense Levels CL B CL2 A CL1 Notes Fig. 2.6, p.17 a 0 OF1 OF2 OF Plot points A and B in space showing the Clearance Ratio relative to Offense levels Plotting points A and B in CR - OF space CR Note that CR1 = CL1 > CR2 = CL2 OF1 OF2 and CR1 A B CR2 0 line AB is drawn holding L constant (CR,OF|L0) OF1 OF2 OF What happens to Police Effectiveness with an increase in Police Resources? The change in Police Effectiveness with an increase in Police Resources, holding Offense levels constant CR Higher Effectiveness, Effect of New level of Police Resources CR1 A (CR,OF|L1) B CR2 0 (CR,OF|L0) OF1 OF2 OF We can show this in terms of alternative levels of Resources Police Effectiveness in terms of alternative levels of Resources CR Curves illustrated assume Economic Efficiency, i.e., that Resources are being used efficiently. Offenses are being held constant 0 Notes, Fig. 2.8, p18 L What if they are not ? What if Police are not efficient, but simply “satisficing”, i.e., just working sufficiently hard to maintain Clearance Ratios? CL B We will not observe diminishing returns since the police are not working to their limit to begin with. A OF What if Police are not efficient, but simply “satisficing”, i.e., just working sufficiently hard to maintain Clearance Ratios? CL B We will not observe diminishing returns since the police are not working to their limit to begin with. A OF CR Performance standards appear to be maintained, since Clearance Ratios are maintained A B OF What if Police are not efficient, but simply “satisficing”, i.e., just working sufficiently hard to maintain Clearance Ratios? CL B We will not observe diminishing returns since the police are not working to their limit to begin with. A OF What would this imply in Economic CR Performance standards appear to be maintained, since Clearance Ratios are maintained A terms B OF ? Depicting Police Manpower Inefficiency CR efficient production observed output level if police only work to maintain the Clearance Ratio L Depicting Police Manpower Inefficiency CR efficient production slack observed output level if police only work to maintain the Clearance Ratio L1 As manpower is increased slack increases , but output level L2 L doesn’t rise If this were the true picture, how could we tell ? Depicting Police Manpower Inefficiency CR efficient production slack observed output level if police only work to maintain the Clearance Ratio L1 L2 L slack increases as manpower increases There would be no statistical relationship between Police Resources and the Clearance Ratio. Looking at the Empirical Evidence: Looking at the Real World A. Acquire Data 1. Outputs: CL, CR 2. Inputs: Resources: EMP, OTE, L Case Load: OF Technological Change: systematic changes over time not related to inputs B. Work Out Theoretical Statistical Models 1. Productivity: CL = f( OF, EMP, OTE, t) 2. Effectiveness: CR = f( OF, EMP, OTE, t) 3. and : CR = f( OF, L ) with other data Based on Theory, what do we expect to find ? Switching Notice that, at this point, I have switched from discussing the theory of what we have studied to moving toward the testing of our theoretical model. Recall the distinction made in the introduction to the course between Positive and Normative economics. We are moving into the realm of Positive Economics – determining how the real world of crime and justice works Such work has been the focus of much of the research of Professor Phillips and myself. A worthy less technical exercise in positive economics: Freakonomics, is by Steven Levitt, who describes himself as a “rogue economist.” Some of it is about crime. It provides an easy description of the logic behind his work and ours. Throughout the course, we shift between explaining the theory behind our analysis, positive economics – testing the theory, and normative economics – the discussion of what this all implies for sound public policy. Next, the results of our testing of production theory as it relates to crime and justice. Expected Outcomes from statistical evaluation: Economic Theory Would Predict dCR / dOF < 0 CR dCR / dL > 0 CR dCR / dt > 0 (if Tech D) CR t2 t1 Varying: OF|L,t Varying: L|OF,t L1 L2 Varying t|OF,L The question we would hope to be able to answer by looking at real world data is whether these expectations are borne out. For the answer one should refer to the text, The Economics of Crime Control, Chapter 9 the statistical form used for estimation: CR = k elt OFw EMPb1 OTEb2 e the Cobb-Douglas Production Function, from Paul Douglas, ”Are there Laws of Production”, American Economic Review (1939) w, b1, b2 are elasticities w = % D CR 1% DOF For the answer one should refer to the text, The Economics of Crime Control, Chapter 9 the statistical form used for estimation: CR = k elt OFw EMPb1 OTEb2 e the Cobb-Douglas Production Function, from Paul Douglas, ”Are there Laws of Production”, American Economic Review (1939) w, b1, b2 are elasticities w = % D CR b 1 = % D CR 1% DOF 1% D EMP For the answer one should refer to the text, The Economics of Crime Control, Chapter 9 the statistical form used for estimation: CR = k elt OFw EMPb1 OTEb2 e the Cobb-Douglas Production Function, from Paul Douglas, ”Are there Laws of Production”, American Economic Review (1939) w, b1, b2 are elasticities w = % D CR b 1 = % D CR _ 1% DOF 1% D EMP b2 = % D CR__ 1% D OTE For the answer one should refer to the text, The Economics of Crime Control, Chapter 9 the statistical form used for estimation: CR = k elt OFw EMPb1 OTEb2 e the Cobb-Douglas Production Function, from Paul Douglas, ”Are there Laws of Production”, American Economic Review (1939) w, b1, b2 are elasticities w = % D CR b 1 = % D CR b2 = % D CR_ 1% DOF 1% D EMP 1% D OTE l = rate of growth of output, independent of OTE, EMP, OF Empirical Results for 4 Felony Crimes: Burglary, Larceny(Theft), Auto Theft, Robbery Empirical Results for 4 Felony Crimes: Burglary, Larceny(Theft), Auto Theft, Robbery Parameter Variable Prediction Estimate Range Empirical Results for 4 Felony Crimes: Burglary, Larceny(Theft), Auto Theft, Robbery Parameter w Variable OF Prediction <0 Estimate Range - .37 to -.88 Empirical Results for 4 Felony Crimes: Burglary, Larceny(Theft), Auto Theft, Robbery Parameter w b1 Variable OF EMP Prediction <0 >0 Estimate Range - .37 to -.88 NS to .72 Empirical Results for 4 Felony Crimes: Burglary, Larceny(Theft), Auto Theft, Robbery Parameter w b1 b2 Variable OF EMP OTE Prediction <0 >0 >0 Estimate Range - .37 to -.88 NS to .72 .13 to .30 Empirical Results for 4 Felony Crimes: Burglary, Larceny(Theft), Auto Theft, Robbery Parameter w b1 b2 l Variable OF EMP OTE Time Prediction <0 >0 >0 >0 Estimate Range - .37 to -.88 NS to .72 .13 to .30 NS Empirical Results for 4 Felony Crimes: Burglary, Larceny(Theft), Auto Theft, Robbery Parameter w b1 b2 l Variable OF EMP OTE Time Prediction <0 >0 >0 >0 NS = Not statistically different from zero Estimate Range - .37 to -.88 NS to .72 .13 to .30 NS Empirical Results for 4 Felony Crimes: Burglary, Larceny(Theft), Auto Theft, Robbery Parameter w b1 b2 l Variable OF EMP OTE Time Prediction <0 >0 >0 >0 Estimate Range - .37 to -.88 NS to .72 .13 to .30 NS NS = Not statistically different from zero Note: The formulations estimated for each of the four offenses produced estimates of % of “explained” variance (R2) ranging from 78 to 86. Empirical Results for 4 Felony Crimes: Burglary, Larceny(Theft), Auto Theft, Robbery Parameter w b1 b2 l Variable OF EMP OTE Time Prediction <0 >0 >0 >0 Estimate Range - .37 to -.88 NS to .72 .13 to .30 NS NS = Not statistically different from zero Note: The formulations estimated for each of the four offenses produced estimates of % of “explained” variance (R2) ranging from 78 to 86. These results can be displayed graphically as well. Law Enforcement Effectiveness Estimates for the U. S.,1952-1968 Estimation Forecast Text, p. 93 Patterns for the Clearance Ratio and Offense Rates for Robbery in Comparison with Expenditures for Law Enforcement for the United States, 1952 - 1967. Early Trend in Law Enforcement Expenditures Text, p.93 Recall the More Recent patterns of Offense Rates for California and the U. S. -and the Levels of Police Protection in Place, Relative to Overall Offense Rates, over the same period 2008 Ideas to Remember The Economic Paradigm (3 steps) The objective in dealing with crime Minimizing the Social Cost of Crime Jeremy Bentham Who was he? What did he do? Economic Production Theory How does it apply to the analysis of crime? The empirical evidence What does it tell us? Professor Votey Jobs and Crime: Youth and Women Notes, Votey 3, p. 31
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