Crime Week 8 Flashcards
Becker was one of the Chicago school founders
What was the Chicago school rationale (2)
Rationalist
Apply economic approaches (esp. optimisation), to topics not traditionally considered economic topics e.g crime
Why would the optimal amount of crime not actually be 0?
Consider marginal conditions.
Consider cost of implementing measures to reach 0 crime. (Would be very high)
So not socially desirable
Example of marginal trade offs
Hiring a cop , or hiring a nurse
2 approaches considered in Becker’s
Positive
Normative
Positive approach
Criminals consider costs/benefits of committing a crime
E.g gains, and risk of caught and punishment
Normative approach
Social loss of crime
(as apposed to positive-cost/benefit from the criminals perspective)
Through sum of pain suffered by victims, and costs of crime prevention/prosecution
Things to also consider in policy making for crime(2)
Gains to offenders
How far policy should accommodate for fear of crime? (Even if unwarranted)
Harm function (victim), gain function (offender) and net cost/damage function (society)
Hi=Hi(Oi)
Hi is harm from the i’th activity
Oi is the activity level (number of offences)
G=G(O)
(As gain increases with the activity level/number of offences)
Net cost/damage (HARM TO VICTIM-GAIN TO OFFENDER)
D(O)=H(O)-G(O)
Another assumption with these functions
Diminishing marginal gains exists for offenders eventually.
Increasing marginal harm from additional offences.
Issue with damage function (2)
1.Criticism is it attaches equal weight to harm and gain. Harm could be offset fully by gain to offender (not showing net damage properly)
2.Attaching a monetary value to certain crimes, and for reducing crimes.
(Attaching monetary value to the damage to some crimes e.g sexual assault is hard. (For deciding harm and gain). Attaching monetary value for reducing crime e.g doctor providing health benefits)
How to find optimal crime
Find minimum net damage. Do this by…
Differentiate net damage function twice. Should be >0 (second order condition) to prove a minimum
Supply of offences
Oj=Oj(Pj,Fj,Uj)
Oj is number of offences
Pj is probability of conviction per offence
Fj is punishment per offence
Uj represents other influences (portmanteau variable) on Oj. E.g his income
Why does price discrimination exist?
- What would an increase in Pj or Fj do to the dependent variable Oj in the function?
Since only convicted offenders are punished. (police only charging some i.e the ones that get caught). Pays Fj only if caught.
So an increase in Pj (probability of conviction) or Fj (punishment) will reduce utility from an offence, so reduce offences (Oj), as higher risk for offender.
So we want to increase Pj and Fj… but what does this require.
And 3 examples
An institutional structure i.e police system, court system, prison system, which costs society (loss)
So we need to consider a loss function for offences for society
Loss function (all costs to society for reducing crime)
Damage + Cost of ensuring crime is caught with a probability P (for Pj) +cost of imposing fines (for Fj)
L=D(O) + C(p,0) + bpfO
E.g Cost of ensuring a 10% chance of catching someone stealing a car. So high probability would make C more expensive