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An effective punishment scheme to reduce extramarital affairs

In societies where extramarital affairs are regarded as a legal or moral wrong, extramarital affairs will be punished if they get caught. Punishment for extramarital affairs may come from several sources. Since extramarital affairs break the promise of fidelity between husbands and wives, the spouses are likely to punish adulterers by losing trust and love, or even proposing a divorce. Extramarital affairs may also tarnish adulterers’ reputation for general fidelity and loyalty, and in turn cause adulterers to lose income and psychic utility (Cameron 2002). The third source is legal punishment, which has existed in the past and still exists in some societies. Even though punishment exists, extramarital affairs are still a common phenomenon.

Economic studies on extramarital affairs concentrate on the determinants of affairs. Fair (1978) develops the first formal theoretical model and tests how the level of affairs is affected by age, number of years married, presence of children, religion, occupation, education, and marital happiness. Allen and Brinig (1998) examine how adultery is affected by the difference in sex drives between husbands and wives. Cameron (2002) examines how participation in partner out trading is affected by a risk variable concerning AIDS, homosexual experience and the age of first sexual experience in addition to most of the independent variables used in Fair’s model.

Nevertheless, there are few economic studies on how punishment affects extramarital affairs, although it is implicitly assumed that legal punishment will deter extramarital affairs, e.g., Landes (1978), Posner (1992) and Brinig and Crafton (1994). Rasmusen (2002) argues with a verbal model that if legal penalty for adultery is large enough or if the spouses exert enough monitoring effort, adultery will be deterred.

The present paper focuses on how punishment affects extramarital affairs. By using a dynamic optimization model that incorporates the risk of getting caught, I study how the risk of getting caught and punished in the future affects individuals’ current decisions on adultery. I show that the existence of punishment does not necessarily deter extramarital affairs unless the adulterer’s marginal expected loss is larger than the marginal net benefit from affairs. This study may help to explain why the existence of punishment does not effectively deter adultery. It also has an implication on how to design an effective punishment scheme to reduce adultery.

Becker (1968) pioneered in analyzing the relationship between crime and punishment with economic approach. Although his study does not specify adultery, his analysis can be certainly applied to adultery because adultery is like, and is often treated as, a crime to some extent. My economic approach shares two similarities with Becker’s: both use the risk of being caught and punishment as policy instruments; both use optimization approach. However, taking into account the specific features of extramarital affairs, my approach is significantly different from Becker’s.

First, Becker studies a social optimization problem. He asks the question that how much punishment should be used to enforce legislation. The optimization problem is to minimize the social loss in income from offences. On the contrary, I study a private optimization problem. I do not study what the socially efficient level of adultery reduction is. Instead, I take this level as given and ask the question that how to effectively achieve the efficient level of adultery reduction. In my model, the decision maker is an individual who considers having extramarital affairs. The optimization problem is to maximize his or her utility by choosing the effort devoted to affairs. I explore how rational individuals respond to changes in the probability of getting caught and punishment, and how legal punishment scheme should be designed to reduce adultery according to individuals’ rational responses.

Second, in Becker’s study, the probability of being caught and the size of punishment are exogenous and they are the choice variables in the optimization problem. In my study, these two variables are functions of the level of extramarital affairs. Extramarital affairs are not one-shot behavior in many cases. The level of extramarital affairs increases as an individual devotes more efforts in affairs. For example, if a man sets up housekeeping with a woman other than his wife or installs her in a house, the affairs are regarded as higher-levels than if he simply has sexual relations with a woman. Therefore, the policy instruments in my model are the functions of the probability and punishment. Changes in the functions will have impacts on individuals’ optimal effort devoted to adultery, and thus can be used as policy instruments to reduce adultery. Using functions stead of exogenous variables allows us to design a punishment scheme that changes with the level of adultery.

Third, Becker uses a static optimization model. I use a dynamic optimization model. The dynamic model can well capture the dynamic characteristics of adultery: the probability of getting caught increases with the level of adultery, which in turn increases with the effort devoted to affairs over time; an adulterer does not know when he or she will be caught. The dynamic model can take into consideration two possible scenarios. In one scenario, adultery is committed only once, and the adulterer’s life continues after he or she is punished for affairs. In the other scenario, adultery is committed over and over again, and the adulterer’s life continues after a penalty is paid each time after adultery is caught.

Section 1 presents the economic model. Section 2 discusses the implication of the model for family laws. The last section concludes.

1 The model

In this optimization model, the decision maker is referred to as the agent. The choice variable is the effort the agent devotes to extramarital affairs in each period t, denoted by g t , which is assumed to be piecewise continuous and non-negative. The effort includes time, energy, emotions, money and other resources. Let P t represent the level of extramarital affairs in period t. The upper limit of P is assumed to beifmmodeexpandafterelse¯expandafter= iP. The level of affairs is a stock variable rather than a flow variable. If the affairs are long-term relationships in which love or other spiritual needs are involved, then the benefit from the affairs would depend on the level of the relationships, which in turn depend on how much effort has been devoted to the relationships in the past. If the affairs are purely physiological relationships in which only sex is involved, the level of affairs in each period is equal to the effort devoted to affairs in the same period. In order to take into account both possibilities, I assume that the level of affairs is reduced at the rate R(P), which is increasing and concave in P. For the relationships in which love or other spiritual needs are involved, R(P) describes the wear-out of the relationships due to exogenous factors. For the affairs in which only sex is involved, R(P) is close to g. The state variable P tsatisfies
dPtdtifmmodeexpandafterelse˙expandafter. iPt=gtR(Pt).
(1)

Let B(g, P) represent the net benefit function of extramarital affairs, which is the difference between the benefits from affairs and the costs of effort devoted to the affairs. The benefit from affairs is assumed to be strictly concave in the level of affairs. The cost associated with the effort devoted to affairs reduces the net benefit. Thus B(g, P) increases with P but decreases with g.

I assume that the risk of getting caught increases with the level of affairs. It is described by a hazard-rate function λ(P), yielding Pr{T>t}=1F(t)=exp{0tλ(Pt)dτ} for the distribution of the time getting caught T, with 0 < λ′(P) < ∝ in [0, ifmmodeexpandafterelse¯expandafter= ip]. Let φ(P) represent the after-getting-caught value function, which represents the value that the agent derives after the adultery is caught at the state P. Then the expected pre-getting-caught value is expressed as
V(P)=Maxgt0λ(PT)exp{0Tλ(PT)dt}×{0TB(gt,Pt)eρtdt+eρtφ(PT)}dT
(2)
subject to Eq. 1, ptifmmodeexpandafterelse¯expandafter= ip and P 0 = P, where ρ is the discount rate indicating the agent’s time preference.

This model setup is very similar to that in Tsur and Zemel (1998) except that I address completely different issues and the net benefit function has different properties. Tsur and Zemel analyze how the threat of occurrence of environmental catastrophes affects optimal pollution control. Their analysis is carried out via a method they call “the hδ-method”, which characterizes the dynamic behavior of the optimal state process without actually solving for it. The idea behind the method is as follows. Since the dynamic optimization problem is autonomous, the optimal state process associated with V(P) must evolve monotonically in time, and the optimal pre-event state process associated with V(P) must approach a steady state. The method identifies whether a state level P can be an optimal steady state by comparing steady state policies with small variations from them.

Tsur and Zemel discuss three types of tragic events with different post-event value functions. For the first type, catastrophes reduce social welfare to zero. For the second type, the tragic event can occur only once, and the economic activity will continue after a penalty is paid. For the third type, the tragic event can repeat over and over again, and the economic activity will continue after a penalty is paid each time after the event occurs. They show that for the last two types, risk induces less pollution under the conditions that both the hazard-rate and penalty are non-decreasing functions of the pollution level.

For the extramarital affairs problem I address in this paper, the agent would be punished if caught. Thus, getting caught is a tragic event for the agent. Except extreme cases, the agent’s life will continue after he or she is punished for affairs. Adultery may be committed only once, but may be committed many times. Therefore, the extramarital affairs problem is similar to the last two types of tragic events in Tsur and Zemel’s model.

Since my dynamic optimization model is very close to Tsur and Zemel, and I use the same notations on purpose, I can apply Tsur and Zemel’s analytical results to the extramarital affairs problem. However, since the value function in Tsur and Zemel’s model is a decreasing function with the state variable, and the value function in my model is an increasing function with the state variable, the conclusions are different. The difference is demonstrated with the recurrent case as follows.

Tsur and Zemel show that the evolution function of the optimization problem is
Le(P)=L(P)[ψ(P)λ(P)],
where L(P) is the non-event evolution function L(P)=B1(R(P),P)[ρ+R(P)]+B2(R(P),P), and ψ(P) is the punishment at the level P, which is assumed to be differentiable. Let P^ represent the non-event steady state to which Ptnconverges from any initial level. Tsur and Zemel prove that if L e (P) < 0, L e (P) can have no root above P^, then P cannot be higher than P^. If L e (P) > 0, L e (P) can have no root below P^, then P cannot be lower than P^.

In my model, B(g, P) increases with P, thus L(P) is a strictly increasing function and L(P) > 0 for any value of P. Both the punishment and risk functions are non-decreasing with P, which implies [ψ(P)λ(P)]′ ≥ 0. Then the sign of L e (P) depends on the relative magnitudes of L(P) and [ψ(P)λ(P)]′. The level of affairs plays three roles here. It increases the value function, but in the meantime it also increases the risk of getting caught and the punishment if caught, and thus increases the expected loss ψ(P)λ(P). Then facing the risk of getting caught, the agent would make decisions by comparing the marginal net benefit and marginal expected loss.

If L(P) > [ψ(P)λ(P)]′, then L e (P) > 0 and it is impossible that P is lower than P^. In this case, even though the agent knows that he or she would be punished if caught, as long as the marginal net benefit from affairs is bigger than the marginal expected loss, the agent would not reduce his or her effort in affairs because of the risk. If L(P) > [ψ(P)λ(P)]′, then L e (P) < 0 and it is impossible that P is higher than P^. That is, if the marginal expected loss is larger than the marginal net benefit from affairs, then the agent will induce effort in affairs.

Since the net benefit, which is the difference between the benefit from extramarital affairs and the cost of effort devoted to the affairs, increases with the level of affairs at a decreasing rate, the marginal net benefit from adultery is a decreasing function in the level of adultery, as shown with the MB curve in Fig. 1. If the marginal expected loss (MEL) is zero or negative, then the adulterer will choose the adultery level of P p . If the MEL is greater than zero, the adulterer will choose a lower-level of adultery. A higher value of MEL or a more rapid increase in MEL will both lead to more reduction of adultery.
Effective punishment scheme to reduce adultery

The efficient level of P should be determined based on the marginal social benefits and marginal social costs of adultery reduction. It is unlikely to be zero for the same reason that it is inefficient to keep pollution level at zero. This topic is beyond the scope of the present paper because I study a private optimization problem. This private optimization can hardly lead to a socially efficient outcome because the market under study is far from being perfect.

I try to explore how to reduce adultery and achieve the efficient level of adultery reduction. I assume that society has determined the optimal amount of adultery reduction outside the model. Suppose the efficient amount of adultery is P S , as shown in Fig. 1. In order to achieve this efficient level, according to my theoretical analysis, the marginal expected loss at this level must be higher than the marginal net benefit from affairs at this level. Therefore, there is a need to make the marginal expected loss (MEL) significantly higher than zero, and make it either increasing with the level of adultery as shown by MEL1 or constant as shown by MEL2. A downward sloping MEL curve might intersect with the MB curve at P S , but the equilibrium, for obvious reason, is not stable. There are two ways to make the marginal expected loss positive and either increasing or constant with the level of adultery. One is through changing the probability function and the other is through changing the punishment function. Since these two functions can be controlled by policies and laws, then a well-designed legal punishment scheme can effectively reduce the effort devoted to adultery.

If punishment for adultery is fixed regardless of the level of adultery, then the marginal expected loss is zero. Given a zero marginal expected loss, the private optimal level of adultery is P p . Thus a fixed punishment will lead to two possible outcomes: if the fixed punishment is prohibitly high for the agent, he or she will not commit adultery at all; if the fixed punishment is not high enough to completely deter him or her to commit adultery, he or she will do it all the way up to the level of P p . That is, he or she will devote more effort than the social optimal amount to commit adultery at a level that is higher than the socially efficient level.

Although adultery has been treated as a crime in many societies, the enforcement of the adultery laws is difficult and the prosecution of offenders is rare. In the absence of legal punishment, the punishment from spouses in the form of losing trust and love or divorce is the major means to prevent affairs. This kind of punishment, however, will not effectively reduce extramarital affairs because it tends to be fixed regardless of the level of adultery. This may help to explain why extramarital affairs are a common phenomenon in most societies even though punishment exists.

2 Implications for family laws

Extramarital affairs should be punished for a number of reasons. First, the marriage contract explicitly pronounces that the husband and wife will be faithful to each other, thus the individuals who breach the marriage contract should be penalized. Second, the innocent spouses who are damaged by adultery should be compensated. Third, extramarital affairs have negative externalities not only on the spouses and children, but also on other people who dislike extramarital affairs for variety of reasons, thus punishment is needed to force adulterers to internalize the negative externalities (Rasmusen 2002).

I have explained that the punishment from the family, which tends to be fixed regardless of the level of adultery, will not effectively reduce extramarital affairs. Then legal punishment is needed to achieve social efficiency. Legal punishment can take many forms. No matter which form it takes, my model suggests that the punishment scheme should be designed in the way that makes the adulterer’s expected loss increase with the level of adultery at an increasing or constant rate. Adultery laws used to be an important means to punish adultery, but they are no longer enforced in most societies. I now discuss another form of punishment—the use of fault (breach) as a consideration in award of alimony.

As argued by Posner (1992), a fault ground may have a substantive purpose in penalizing inefficient behavior. Because the cost for the innocent spouse to monitor an adulterer at all times is high, an adulterer imposes an externality on the innocent spouse. In this case, legal punishment in the form of paying larger alimony or divorce settlement can elicit the efficient amount of adultery. In addition, Landes (1978) and Brinig and Crafton (1994) both stress that alimony, as a compensation for the wife for the opportunity cost she incurs by entering and investing in the marriage, is a means of promoting efficient resource allocation by encouraging wives to make marital-specific investment. Landes provides empirical evidence that the exclusion of alimony in the event of divorce and exclusion of fault as a relevant consideration in the determination of property settlements both substantially reduce the incentive to marry and marital-specific investments. Brinig and Crafton also provide empirical evidence that no-fault has caused a fewer marriages, less marital-specific investment and more opportunistic behavior. They suggest that one way to discourage adultery is to “place the burden of dissolution squarely on the shoulders of the responsible party.”

Currently in practice, the amount of alimony awarded is determined based on a number of factors, including the duration of marriage, number of children and the husband and wife’s relative earning power. Adultery is also an important judicial factor that is used to determine alimony awards in half the states of the US. However, judicial determination of alimony awards does not differentiate with the level of adultery. It basically treats a prolonged affair the same as being unfaithful only once; that is, the part of alimony associated with adultery is fixed regardless of the level of adultery.

Since alimony awards can be used to compensate a wife for the opportunity cost she incurs by entering and investing in the marriage, and can also be used to punish an adulterer and compensate the innocent spouse for the damages caused by the adultery, I would suggest to divide alimony into two parts: one part is determined according to the wife’s opportunity cost, and the other part is determined based on the level of adultery. My model implies that the part of alimony associated with adultery should be designed in the way that makes the adulterer’s expected loss increase with the level of adultery at an increasing or constant rate. Under such a scheme, an adulterer who is involved in a prolonged affair would pay a higher price than if he or she is unfaithful once. The total alimony awarded should be equal to the sum of the two parts. In cases where a husband commits adultery, the wife would be awarded more alimony than if he has not done so, and would receive more alimony if he commits a higher-level adultery than if he commits a lower-level one. In cases where a wife commits adultery, the wife would be awarded less alimony than if she has not done so, and might receive none or even negative amount of alimony if she commits a high-level adultery. A negative alimony means that she would have to transfer payment to the husband to compensate for the damages.

The expected loss depends on two functions: the probability of getting caught and punishment. By changing either function, the expected loss will change. I have discussed how to change the punishment function by holding the probability function constant. The other way to reduce adultery is through changing the probability function, which can be done by increasing the effort of monitoring with the level of adultery. This way would be more difficult to implement, and it will not work if adultery is not a determinant of alimony awards and property division, or if the adulterer has no property to distribute on divorce.

3 Conclusion

My theoretical analysis shows that the existence of punishment does not necessarily deter extramarital affairs unless the marginal expected loss is larger than the marginal net benefit from affairs. Punishment from the family, which tends to be fixed, cannot effectively reduce extramarital affairs. This may help to explain why extramarital affairs are a common phenomenon in most societies even though punishment exists. However, the fact that extramarital affairs have not been effectively reduced does not mean that there is no way to reduce adultery. In order to reduce adultery, legal punishment is needed. Such a legal punishment can take many forms. No matter which form it takes, an effective punishment scheme should have differentiated punishment for different levels of adultery. Since adultery laws are rarely enforced, I focus on another form of punishment—alimony. Alimony awards can be used as a means to compensate for a wife’s opportunity cost, it can also be used to punish adulterer for breaching the marriage contract and to compensate the innocent spouse for damages caused by the adultery. I suggest that the part of alimony associated with adultery be designed in the way that makes the adulterer’s expected loss increase with the level of adultery at an increasing or constant rate.


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