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Optimal Warning Strategies: Punishment Ought Not to Be Inflicted Where the Penal Provision Is Not Properly Conveyed

  • Murat C. Mungan EMAIL logo
Veröffentlicht/Copyright: 12. November 2013
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Abstract

Law enforcers frequently issue warnings, as opposed to sanctions, when they detect first-time offenders. However, virtually all of the law and economics literature dealing with optimal penalty schemes for repeat offenders suggest that issuing warnings is a sub-optimal practice. Another observed phenomenon is the joint use of warnings and sanctions in law enforcement: person A may receive a sanction, whereas person B is only warned for committing the same offense. This situation can be explained through the use of hybrid warning strategies, a concept not yet formalized in the law enforcement literature, where law enforcers issue warnings to and sanctions to of first-time offenders. This article uses a two-period optimal deterrence model to provide a rationale as to why it may be optimal to issue warnings. When uninformed individuals are present and their punishment is assumed to be costly, there is a trade-off between such costs and reduced levels of deterrence. Depending on the cost structure associated with the punishment of uninformed individuals, warning strategies, including hybrid ones, may be optimal. A secondary contribution of this article is to point out that lack of information concerning laws may lead to optimal escalating punishments for repeat offenders.

JEL Classification: K00; K14; K42

Appendix

Proofof Lemma 1: One can define the second period payoffs of informed individuals who have been detected and those who have not been detected in the first period, respectively, as follows:

(11)
(11)

Hence, an informed individual’s expected utility from committing crime in the first period is

(12)
(12)

and an informed individual’s expected utility from not committing crime in the first period is

(13)
(13)

Now let and .

implies that and , therefore

(14)
(14)

Hence, when individuals will commit the crime in the first period. implies that , and therefore

(15)
(15)

Hence, when individuals will not commit crime in the first period.

Now it is only necessary to check the behavior of informed individuals when and are chosen such that .

In Case II, , therefore we already have the requested result for this case, namely that individuals will commit crime only if .

In Case I, informed individuals with benefits such that will commit crime in the second period only if they are caught in the first one. Hence, if the relation below holds, informed individuals will commit crime.

(16)
(16)

Therefore, informed individuals will commit crime in the first period if

(17)
(17)

Note that .

In Case III, individuals with benefits such that will commit crime in the second period only if they are not caught in the first period. Hence, if the relation below holds, informed individuals will commit crime.

(18)
(18)

Hence, individuals commit crime in the first period if . ■

Proof of Proposition 1:

Part (iii): requires either , or both. To prove the claim, it is sufficient to note that for any , it follows that for all .

Parts (i) and (ii): Consider the following constrained minimization problem:

(19)
(19)

The solution to this problem describes the optimal policy variables to achieve a given level of expected sanctions for first-time offenders. An equivalent and more convenient formulation of the same problem, utilizing eq. (4), is

(20)
(20)

Differentiating with respect to q results in the following F.O.C.:

(21)
(21)

and the following S.O.C.:

(22)
(22)

Let . Since , , and , it follows that for all and . Accordingly, when S is fixed at a particular value, R and are increasing in q. This implies that is maximized with respect to q when . Hence, if for a given S, , then for all . And if there exists such that , then for all regardless of the level of q. But such exists since , where a is a positive constant. To see this, note that , hence therefore R is divergent. Hence, there exists such that . Therefore, whenever , information costs are minimized when , because, per the above observation, for all and for all q.

For any such that , there exists a unique and positive which satisfies . To see this, first note that where the inequality follows from the fact that , and the equality follows from the definition of . Next, note that since R is divergent, there exists which is small enough such that . Combining these two results we have that . By utilizing the intermediate value theorem, and the fact that , it follows that there exists a unique such that and . Hence, for any such that , there exists a unique and positive that minimizes information costs. ■

Proof of Proposition 2: Proposition 1 states that for all positive , there is a hybrid warning strategy that minimizes information costs. Hence, there is an interior solution to the minimization problem in eq. (20). Let . Applying the implicit function theorem we have that:

(23)
(23)

This is a simple first-order differential equation, whose solution is . Where c is the unknown slope, describing as a function of S. But c must be such that , since by definition . ■

Proof of Proposition 3: It should first be noted that the choice of does not affect information costs. Keeping this in mind, the proof consists of four steps. (1) First, I will show that gives uninformed individuals proper incentives. (2) Next, I will show that whenever is chosen such that , it is welfare-maximizing to set . (3) Then, I will show that any punishment scheme where is sub-optimal. These observations together imply that optimal sanction pairs and warning strategies are such that , . (4) Finally, I will show that given , expected sanctions for first-time offenders () must be set to balance information costs and benefits from deterrence, which requires under-deterrence.

  1. p proportion of uninformed individuals are either warned or sanctioned in the first period. These are transformed into informed individuals who face expected punishments of in the event they commit crime in the second period. Hence, setting gives them proper incentives. proportion of uninformed individuals remain uninformed, and the choice of does not influence their behavior.

  2. Whenever, , it trivially follows that results in first-best deterrence and that there is no other that achieves the same result. Whenever , by making use of Observation 2, and analyzing individuals’ responses to various sanctions, one can show that statements (a)–(d) are true. The analysis showing how these statements follow is trivial and lengthy and is therefore omitted in this article, but is available from the author upon request.

    1. any sanction scheme where is dominated by the sanctions scheme with .

    2. the sanction scheme where is dominated by the sanction scheme with .

    3. any sanction scheme where is dominated by the sanction scheme with .

    4. any sanction scheme where is dominated by the sanction scheme with .

  3. Observations (a)–(d) together imply that whenever and q are chosen such that , it is optimal to set .

  4. It follows that any sanction pair such that is dominated by the sanction pair and satisfying , since the latter sanction pair results in first-best deterrence in both periods and less informational costs. Hence, any sanction pair where is sub-optimal.

  5. The above observations show that the optimal sanction pair is such that and . Given this observation, and the results from Propositions 1 and 2, the claim can be proven as follows:

    Let

    (24)
    (24)

    Then employing Observation 2 and the fact that , social welfare can be expressed as:

    (25)
    (25)

    where

Differentiating V with respect to S, we have50

(26)
(26)

Note that this expression is negative when (regardless of whether ). Hence, it follows that the S maximizing this expression is such that . In other words, , which was the claim to be proven.

These observations together imply that the optimal sanction pair is such that and .

Proof of Proposition 4:

Part (i):

Small h: Since V is concave in S, it is always decreasing if . But

(27)
(27)

Hence, for all , maximizes V.

Large h:

(28)
(28)

Hence, for all , , the maximizer of V, is such that . Therefore, per eq. (26) when , which is when V is maximized.

Intermediate h: When , it follows that . Hence, V has a maximizer , such that . Therefore, per eq. (26) when , which is when V is maximized.

Part (ii):

  • (1): Part (i) implies that . In this case (per Proposition 1), the optimal warning strategy is .

  • (3): Part (i) implies that . In this case (per Proposition 1), the optimal warning strategy is .

  • (2): Part (i) implies that . In this case (per Proposition 1), the optimal warning strategy is hybrid. To see that is increasing in h, note that since V is concave in S.

  • (4): Follows immediately from the expressions for and in eqs (27) and (28). ■

Proof of Proposition 5: I will prove the claim by verifying the following four observations: Escalating penalties are optimal when (i) pure warning strategies are optimal (), (ii) no-warning strategies are optimal , and (iii) when hybrid strategies are optimal () and . But (iv) decreasing or uniform penalties are optimal when and .

  1. When pure warnings are optimal, the choice of is irrelevant (see Proposition 1 part (iii)); in other words, any is optimal. Therefore, it trivially follows that there are optimal escalating sanctions.

  2. It follows from Proposition 3 that . But when no-warnings are optimal, it follows that ; hence , which implies that .

  3. and (iv) When hybrid warning strategies are optimal, it follows that (see Proposition 2) and that (see Proposition 3). Hence, iff . ■

Acknowledgments

I would like to thank two anonymous referees, Omri Ben-Shahar, Giusseppe Dari-Mattiacci, Nuno Groupa, Bruce Kobayashi, Webster Ye, the participants of the American Law and Economics Association’s 2011 Annual Meeting, the Canadian Law and Economics Association’s 2010 Annual Meeting and the 27th Annual Meeting of the European Association of Law and Economics for comments, discussions, and suggestions, Kristan Rivers and Nick Horner for excellent research assistance, and the Amsterdam Center for Law and Economics for their support. The usual disclaimer applies.

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  1. 1

    Bentham (1789), Chapter 13, section iii.

  2. 2

    Two exceptions are Emons (2007) and Rousseau (2009) which are discussed later in this section. For models dealing with optimal penalty schemes for repeat offenders see Chu et al. (2000), Emons (2003, 2004), Miceli and Bucci (2005), Mungan (2010, 2012), Polinsky and Shavell (1998), and Polinsky and Rubinfeld (1991). For a general review of the law and economics literature on law enforcement, see Garoupa (1997), Polinsky and Shavell (2000), and Polinsky and Shavell (2007).

  3. 3

    Bentham (1789), Chapter 13, section iii.

  4. 4

    Police officers may use discretion in issuing warnings. Section 4.5 contains a few comments regarding the use of discretion, but the theoretical part of this article abstracts from the issue and shows that hybrid warnings can be optimal even at the absence of discretion. For an economic analysis and discussion of the determination of optimal discretion, see Shavell (2007).

  5. 5

    The relationship is weak because of corner solutions. More precisely, when the illegality of an act is unknown to a proportion of society exceeding a critical proportion (), it is optimal to use pure warnings (i.e. ). Accordingly, for proportions above this threshold, the optimal x is constant at 100. A similar result holds when the proportion of uninformed individuals is below a certain threshold (), in which case the optimal x is constant at 0. x is strictly increasing in the proportion of uninformed individuals () when . This result is discussed in further detail in Section 2, infra.

  6. 6

    Warnings, in general, are meant to give notice to or caution individuals who are presumed to lack information regarding a certain issue. (See Black’s Law Dictionary’s (8th ed. 2004) definition of warning: ‘The pointing out of a danger, esp. to one who would not otherwise be aware of it.’)

  7. 7

    Articles invoking the assumption that there are costs associated with such judicial errors include Stigler (1970), Posner (1973), Png (1986), Miceli (1990), Chu et al. (2000), and Lando (2009). See also Mungan (2011) and Rizzolli and Saraceno (2011), providing utilitarian justifications for the assumption that there are costs associated with the punishment of the innocent.

  8. 8

    See, e.g. Folger and Konovsky (1989), Konovsky and Cropanzano (1991), and Tyler (1990), studying the negative effects of unfair procedures.

  9. 9

    Sunshine and Tyler (2003:513), for instance, state that “the key antecedent of legitimacy is the fairness of the procedures used by the police”.

  10. 10

    See, e.g. Tyler (1990:28): “A[n] approach to assessing legitimacy is to measure the extent to which authorities enjoy the public’s support, allegiance, and confidence (in political science often subsumed under the heading ‘trust in government’)”.

  11. 11
  12. 12
  13. 13
  14. 14

    See, e.g. Wesbrook (1980).

  15. 15

    Tyler (1990:58) finds that “[t]he results of the regressions suggest that legitimacy has a significant independent effect on compliance, even when other potential causal factors are controlled for”. See also Sunshine and Tyler (2003).

  16. 16

    Tyler (1990:34-36) provides a list of studies examining the link between concepts related to legitimacy and socially costly behavior.

  17. 17
  18. 18

    On which, see Kaplow (1990).

  19. 19

    Dana (2001) and Emons (2003) refer to the problem of punishing repeat offenders as a puzzle. This is because escalating punishments are observed frequently, but there are many models implying that this is a sub-optimal practice.

  20. 20

    See note 2, supra.

  21. 21

    See Harrington (1988), which deviates from the main framework for analyzing optimal punishments for repeat offenders. An implication of this article is that warnings may be optimal. However, this result is not due to the informational function of warnings, but due to the design of a mechanism which allows offenders to move from one group to another where the regulator determines the monitoring rates of each group. Accordingly, Harrington (1988) does not highlight the informational functions of warnings as the instant article does.

  22. 22

    Furthermore, this conclusion requires that individuals must be constrained to choose between always committing a crime and never committing a crime, in other words, individuals’ strategies are constrained to be history independent.

  23. 23
  24. 24

    I assume that the government’s detection mechanism may generate the error of acquitting guilty individuals, but not the error of convicting innocent individuals. Incorporating such errors, which have been analyzed in the literature, e.g. by Rizzolli and Saraceno (2011) and Mungan (2011), may provide another justification for the use of warnings, because the cost of punishing an innocent individual presumably exceeds the cost of warning him. There is, however, an ongoing debate as to how such errors ought to be incorporated in crime and deterrence models (see, e.g. Garoupa and Rizzolli (2012) and Lando (2006)). I am, therefore, excluding such potential benefits from the social welfare calculus.

  25. 25

    See Section 4.1., infra, for a discussion of how an endogenous p would interact with optimal warning strategies. See also Mungan (2010:174), arguing for the plausibility of this assumption: “This is a commonly employed assumption in the literature. Polinsky and Rubinfeld (1991), Burnovski and Safra (1994), Chu et al. (2000), Nyborg and Telle (2004), and Miceli and Bucci (2005) are examples of models which impose this assumption. Furthermore, when general enforcement is possible, for low levels of harm, p can be treated as a fixed value although it is endogenously determined. The last point is formalized in Shavell (1991) …”

  26. 26

    A pure warning strategy refers to issuing warnings to all first-time offenders. The meaning of the word pure in this context is clearly distinguishable from its meaning in the context of pure strategies in game theory, where the word indicates that a player’s likelihood of playing a given strategy is 1. Stated differently, whereas in standard game theory the word pure refers to the likelihood of a given strategy being played, in the present context it refers to the proportion of individuals being warned.

  27. 27

    Therefore, a person whose past crimes have gone unnoticed is considered a first-time offender.

  28. 28

    When individuals are wealth constrained, as discussed in the literature (see, e.g. Polinsky and Shavell (2007)), it may be optimal to resort to non-monetary and therefore costly means of punishing individuals. The case of costly sanctions is briefly discussed in Section 4.2.

  29. 29

    Robinson and Darley (2003, 2004) argue that many individuals do not know the exact content of the relevant criminal code. Some of these individuals may nevertheless not commit crime. It may appear that the instant model is at odds with this observation, since uninformed individuals are assumed to commit crime. This assumption is mainly simplifying, and one can consider a more realistic assumption which produces the same results as in this article. In particular, one may consider two types of uninformed individuals. The first commits crime whereas the second refrains from committing crime when uninformed. The latter type of individuals never commit crime and therefore need not be deterred or punished. Therefore, they have no impact on social welfare and can legitimately be left out of the social calculus. As such, one can proceed with the analysis as if the former and simpler assumption were true.

  30. 30

    In Section 3, I demonstrate the purpose of having . This is mainly a simplifying assumption for expositional purposes and to ease the description of proofs. A weaker condition which would grant the same simplifying properties is . I also discuss the implications of having .

  31. 31

    I assume that indifferent individuals do not commit crime.

  32. 32

    This is true even for uninformed individuals whose actual net expected benefits are negative.

  33. 33

    This proposition assumes . When , the optimal first period sanctions and warning strategies are such that .

  34. 34

    See note 2, supra.

  35. 35

    For the explicit expression for K and a brief explanation of the derivation of , see the proof of Proposition 3 in the Appendix.

  36. 36

    This proposition reports results when . When any warning strategy accompanied by proper sanctions for first-time offenders is optimal. However, for expositional convenience, critical values and in Proposition 4 and Figure 3 are reported as functions with domain .

  37. 37

    See note 19, supra.

  38. 38

    See, e.g. Polinsky and Shavell (2007:413–414) showing that in the simple law enforcement model under-deterrence is optimal when p is endogenous, whereas it is not when p is exogenous.

  39. 39
  40. 40

    See, e.g. Shavell (2007).

  41. 41

    See note 2, supra.

  42. 42
  43. 43

    Consider, for instance, the following language, which is often used by the FBI to inform people of the consequences of copyright infringements: “The unauthorized reproduction or distribution of this copyrighted work is illegal. Criminal copyright infringement, including infringement without monetary gain, is investigated by the FBI and is punishable by up to 5 years in federal prison and a fine of $250,000.”

  44. 44

    This is a direct implication of Proposition 4, which suggests that the optimal q is weakly decreasing in .

  45. 45

    See Shavell (2007), for an extensive analysis as to when and how discretion should be allowed.

  46. 46

    For instance by requiring police officers to issue warnings x% of the time and in a particular order.

  47. 47

    See note 19, supra.

  48. 48

    Emons (2003, 2004, 2007) are examples of such models.

  49. 49

    See also Mungan (2012), reviewing the existing literature and pointing out that the assumption of fixed, rather than fluctuating, criminal tendencies may be responsible for the failure of many models to generate results that are consistent with our intuitions of justice.

  50. 50

    It should be noted that is differentiable. To see this, evaluate both expressions for at and verify that they are equal using the definition for .

Published Online: 2013-11-12

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