Title: Let the Punishment Fit the Crime
1Let the Punishment Fit the Crime
Indro Chakraborty R. Preston McAfee
2Let the Punishment Fit the Crime
Alleged
Indro Chakraborty R. Preston McAfee
3Local Externalities
- Some externalities have nonlinear individual
effects - Automobile speed
- Alcohol consumed
- Perfume worn
- Noise
- Some emissions
4Piguouvian Tax
- Local externalities can be regulated with an
individual Pigouvian tax - Nonlinear fines for speeding
- Impose social cost as a tax and individual
internalizes social cost
5Princeton, NJ Speeding Fines
MPH Over Speed Limit
6Piguouvian Tax
- Local externalities can be regulated with an
individual Pigouvian tax - Nonlinear fines for speeding
- Impose social cost as a tax and individual
internalizes social cost - But theory assumes externalities observable
7Radar Guns
- Headline
- Radar gun clocks palm tree going 86 MPH
8Radar Gun Accuracy
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9Finnish Penalties
- HELSINKI, Finland (Reuters) -- One of Finland's
richest men has been fined a record 170,000 euros
(217,000) for speeding through the center of the
capital, police said on Tuesday. - Jussi Salonoja, 27, heir to his family's sausage
business, was caught driving 80 km per hour (50
miles per hour) in a 40 kph (25 mph) zone last
Thursday, the police said. - Finnish traffic fines vary according to the
offender's income.
10Typos
- AUDIT FINDS ERRORS IN DRUG SEIZURES.
- The Los Angeles Police Department continues to
have problems with discrepancies in the amount of
drugs reported seized and the actual amount
confiscated. - LAPD officials attributed the problems to
careless errors'' such as writing down the
wrong information or calculation errors. - We found no evidence that seized narcotics were
mishandled or misappropriated,'' Tuttle said.
We are concerned, however, that the variances
appear to be so common.''
11Blood Alcohol Levels
- Breath readings vary at least 15 percent from
actual blood-alcohol concentrations. - Simpson, Accuracy and Precision of Breath-Alcohol
Measurements for a Random Subject in the
Postabsorptive State, 33(2) Clinical Chemistry
261 (1987) - In study 404 DUIs, for 2/3rds breathalyzer
measures differed by at least 0.01 from blood
alcohol. - 32(4) Journal of Forensic Sciences 1235 (1987)
12Melvin Effects
- Many breath testing machines assume a 2,100-to-1
ratio in converting alcohol in the breath to
estimates of alcohol in the blood. However, this
ratio varies from 1,900 to 2,400 among people and
also within a person over time. - Each one degree of body temperature above normal
will cause a substantial elevation (about 8) in
apparent BAC.
13Are Alcohol Effects Nonlinear?
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14Are Alcohol Effects Nonlinear?
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15Are Alcohol Effects Nonlinear?
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16Are Alcohol Effects Nonlinear?
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17Are Alcohol Effects Nonlinear?
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18Basic Model
- Risk neutral agent has net benefit B(x)
- Choice x imposes social cost s(x)
- Signal y generated given x
- Penalty p(y) assessed
- Agent chooses x to
- max B(x) Ep(y)x
19Observational Error Example
- Signal y x e, Ee 0
- Penalty s(y) is not Pigouvian tax
- s convex, then too large
- Right tax satisfies
- Ep(y)xs(x)
20Closed Form Solution
21Multiplicative Errors
- Choice x, Externality s(x)
- Signal y xe, Ee 1
- Assume Eei lt ? for all i.
- If s(x)x2,
22Multiplicative Errors Solution
- If s is analytic, express with Taylor series
- Now let
23General Model
- Risk neutral agent
- Externality function s is continuous on compact
set - Density f(yx) of signal
- Goal Find penalty function p so that
24Separating Probability Distns
- A density f separates probability distributions
if for any densities g ? h,
25Separating Probability Distns
- A density f separates probability distributions
if for any densities g ? h, - Separation is necessary. If separation fails,
there are distinct g, h with
26Necessity
- If separation fails,
- Not all s can be supported
27Theorem
- The density f separates probability distributions
if and only if for every continuous s, there is a
continuous p satisfying - Corollary to Hahn Banach Theorem
28Approximations
- What does p look like for an arbitrary s?
- Consider a small additive error be
- p(x,0)s(x)
29Derivatives
30More Derivatives
31Approximation
- Or b 1
- Thus, for small gambles, p is less than s if s is
convex
32Approximation with Multiplicative Errors
- With multiplicative errors, approximation similar
33Risk Aversion
- Assume constant absolute risk aversion to
eliminate wealth effects - Parameter ?
- Problem
34Small Variance Approximation
35Conclusions
- Erroneous measurements common
- Radar guns
- Theft
- Emissions
- Proved existence of adjustments
- If and only if measurement distinguishes
behavioral strategies
36Conclusions, Continued
- Offer approximation
- valid for small additive measurement error
- Exact for quadratic s.
- Not necessarily non-negative.
37Penalties for Drunk Boating
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