Research Article | Open Access

# An Uncertain Wage Contract Model with Adverse Selection and Moral Hazard

**Academic Editor:**Shan Zhao

#### Abstract

This paper considers a wage contract design problem faced by an employer (he) who employs an employee (she) to work for him in labor market. Since the employee's ability that affects the productivity is her private information and cannot be observed by the employer, it can be characterized as an uncertain variable. Moreover, the employee's effort is unobservable to the employer, and the employee can select her effort level to maximize her utility. Thus, an uncertain wage contract model with adverse selection and moral hazard is established to maximize the employer's expected profit. And the model analysis mainly focuses on the equivalent form of the proposed wage contract model and the optimal solution to this form. The optimal solution indicates that both the employee's effort level and the wage increase with the employee's ability. Lastly, a numerical example is given to illustrate the effectiveness of the proposed model.

#### 1. Introduction

Wage mechanism design problem is important for the employer, which is related to the development of the firm the employer owns. An efficient wage payment mechanism can incentivize the employee to work hard and bring greater profit for the employer. This paper investigates the employment relationship between the employer and his employee, in which the employee has private information on her ability that is closely related to the employer's productivity. Furthermore, the effort of the employee which also influences the employer's productivity is unobservable to the employer. Thus, the wage mechanism design problem is studied under this environment.

In real life, many problems can be analyzed by principal-agent theory. In the initial research of the principal-agent problems, adverse selection and moral hazard are often separable. Myerson [1] established a principal-agent model with adverse selection only, and Grossman and Hart [2] investigated the principal-agent problem under moral hazard. Later, Page [3] studied the optimal contract mechanism for principal-agent problem with adverse selection and moral hazard. In recent years, principal-agent theory has been applied to other research fields. For instance, zer and Raz [4] considered supply chain sourcing under asymmetric information, and Lan et al. [5] studied multifirm regulation problem applying principal-agent theory.

Most literature on wage contract design problem described the involving of uncertain information as random variable. For instance, Greenwald [6] studied adverse selection problem in labor market; Chen [7] presented wage contract for salespeople under adverse selection and moral hazard; these wage contracts were designed under random environment. However, in practice, due to the paucity of the historical data about the private information which cannot be exactly described in advance, the frequency cannot be known for the participator. Therefore, probability theory is no longer appropriate to characterize this kind of private information; this is because the probability distribution of the private information cannot be estimated from the frequency for the lack of it. In addition, Liu [8] alleged that probability theory may give rise to counterintuitive results in this situation. As a result, a new approach, based on the experts' subjective judgment, called uncertainty theory [9], was proposed. Since then uncertain theory has become a powerful mathematical tool to handle various issues under incomplete information, for instance, uncertain control [10], uncertain differential equation [11], uncertain programming [12–16], uncertain principal-agent [17–19], uncertain random programming [20], and so forth. For more details on uncertainty theory, the interested reader can refer to Liu [20, 21]. Applying uncertainty theory, Wang et al. [22] and Mu et al. [23] provided uncertain wage contract models with adverse selection only. However, the uncertain wage contract design problem with adverse selection and moral hazard has not been together examined in the existing literature.

This paper investigates an uncertain wage contract design problem with adverse selection and moral hazard in labor market. The ability of the employee is her private information, which is unknown to the employer, and he can only take a personal assessment. Thus, considering this unknown parameter as an uncertain variable is more reasonable rather than a random variable. Moreover, the employee's effort level that she expends on her work is unobservable, and she can choose an appropriate effort level to maximize her utility. Then an uncertain wage contract model is established to maximize the expected profit of the employer. The crisp equivalent model is presented and the optimal solution is obtained. The results show that if the ability of the employee is higher, the effort level that the employee is willing to pay is higher and the wage paid by the employer is higher; that is, with the increase of the employee's ability, both the employee's effort level and her wage increase.

The remainder of this paper is arranged as follows. Section 2 reviews some basic concepts about uncertain variables. Section 3 presents the uncertain wage contract model in the presence of adverse selection and moral hazard. Section 4 provides the equivalent form of the model and obtains the optimal solution of the equivalent model by variational method. Section 5 presents a numerical example to testify the effectiveness of the proposed model. Section 6 summarizes the main conclusions of this paper.

#### 2. Preliminaries

Uncertain theory was founded by Liu [9] and has become a branch of axiomatic mathematics. Nowadays, more and more researchers pay attention to uncertain theory. Let be a nonempty set, and let be a -algebra of . Each element in is called an event. The triplet is called an uncertain space. Uncertain measure is a set function defined on and satisfies the following four axioms.

*Axiom 1 (normality axiom). * for the universal set .

*Axiom 2 (duality axiom). * for any event .

*Axiom 3 (subadditivity axiom). *For every countable sequence of events , there exists

*Axiom 4 (product axiom [24]). *Let be uncertainty spaces for . Then the product uncertain measure defined on the product -algebra satisfies

*Definition 1 (see [9]). *An uncertain variable is a measurable function from an uncertain space to the set of real numbers.

*Definition 2 (see [9]). *The uncertainty distribution of an uncertain variable is defined by for any real number .

*Definition 3 (see [9]). *If is a measurable function and are uncertain variables on uncertain space , then is an uncertain variable defined as for any .

*Definition 4 (see [9]). *The expected value of uncertain variable is defined as follows:
provided that at least one of the two integrals is finite.

Lemma 5 (see [25]). *Let be an uncertain variable with uncertain distribution and a monotone real value function; then the expected value of is
*

#### 3. An Uncertain Wage Contract Model

In this section, we present an uncertain wage contract model in which adverse selection and moral hazard are considered simultaneously. In labor market, the employer is treated as a principal while the employee is treated as an agent, and both are risk neutral. The employee has private information about her ability, which is unknown to employer and can be characterized as an uncertain variable . The employee's effort level is unobservable to the employer, and the employer can infer from the ex post productivity. For simplicity, assume that one employer employs one employee, and let be the productivity of the employee, where and are positive parameters.

Before the contract is signed, the employee knows her ability , but the employer is just aware of the distribution of on , where . Denote and assume that , which is a common condition in private information agency literature. If the employee accepts the contract, she will choose an optimal effort level to maximize her net income , where is the wage that the employer pays and is the cost of her effort which is unknown to the employer [26, 27]; is a known parameter. The sequence of the game is summarized as follows.(1)Nature chooses a “type” for the employee.(2)The employer provides a wage contract menu which is related to the employee's type. If the employee refuses the contract, the game is ended; otherwise, enter into .(3)The employee reports her type then chooses an appropriate effort level to start production.(4)The productivity is realized, the employer pays the corresponding wage to the employee, and the game is ended.

The employer is desired to design a wage contract menu to maximize his expected profit, where is referred to as the fixed wage, is the performance pay, is called bonus coefficient, and . This wage payment is often used in reality and can motivate the employee to work hard. The cost of production is assumed to be zero, and the price of the productivity is normalized to one; the employer's only cost is the wage paid; thus, the profit of the employer The objective of the employer is to maximize his expected profit by designing a wage mechanism , subject to the employee's optimal behavior. From the Revelation Principle [28], the employer's choice of a wage contract is equivalent to the choice of a suitable pair of functions .

The optimal effort of the employee satisfies which indicates that the employee can determine the optimal effort by maximizing her utility.

The incentive compatible constraint of the employee should satisfy which means the employee with ability would choose to maximize her utility.

The participation constraint of the employee is where () is the employee's reservation utility.

As a consequence, the uncertain wage contract model can be formulated as

#### 4. Model Analysis

##### 4.1. Equivalent Model for Uncertain Wage Contract Problem

In this subsection, we analyze Model (9) and present its equivalent form.

Proposition 6. *The optimal effort of the employee satisfies
*

*Proof. *Since the second-order condition
it follows from the first-order condition that the optimal effort of the employee satisfies
The proof is complete.

The result of Proposition 6 indicates that the effort level of the employee is positively related to the bonus coefficient of the wage; that is, if the bonus coefficient is higher, the more effort the employee is willing to pay.

Replace in Model (9) by ; Model (9) can be rewritten as

In the following, the equivalent forms of the constraint conditions and the objective function of Model (13) are deduced.

Proposition 7. *The incentive compatibility constraint in Model (13) is equivalent to
*

*Proof. *Let , which is the income of the employee with the ability but choose the contract rather than , where . For any given , the incentive compatibility constraint in Model (13) can be written as
which means that achieves its maximal value at . Thus, satisfies the first-order condition
and the second-order condition
From the first-order condition, we can get
that is,
Equation (14) holds. Following the second-order condition, we have
Differentiating (19) with respect to yields
It follows from (21), (22), and that
Equation (15) holds.

On the other hand, by integrating (14) and taking note of , when , we can get
hence,
that is, the incentive compatible constraint in Model (13) is satisfied when .

Similarly, the above inequality holds when . Therefore, the incentive compatible constraint in Model (13) is satisfied for any . The proof of this proposition is complete.

*Remark 8. *If the ability of the employee is higher, the bonus coefficient of the wage is also higher; that is, the bonus coefficient of the wage is increasing with the ability of the employee.

Proposition 9. *The participation constraint in Model (13) is equivalent to
*

*Proof. *Let be the income of the employee under her optimal effort level. Combining with (14), we have
that is, the income of the employee is increasing with his ability; therefore, for any , there exists
As a matter of fact, the inequality is binding under the optimal wage contract. Because otherwise one can design a new wage mechanism such that
It is easy to prove that is also feasible for Model (13) and for all . However, under this new wage mechanism, the employer will obtain more profit; thus, the constraint is binding under the optimal wage contract. The proof is complete.

Proposition 10. *The objective function of Model (13) can be written as
*

*Proof. *By (27) and , we can obtain
It follows from the definition of in the proof of Proposition 9 that
Substituting (32) into the objective function of Model (13) yields
Denote as the profit function of the employer; we can get
Noting that , , we can obtain ; that is, is increasing with respect to . By Lemma 5, the objective function of Model (13) can be written as
Therefore, the proof of this proposition is complete.

Above all, the crisp equivalent form of Model (13) can be expressed as follows.

Proposition 11. *Model (13) is equivalent to
*

*Proof. *It can be easily obtained according to Propositions 6–10.

##### 4.2. Optimal Solution

The optimal solution of the uncertain wage contract model is given in this subsection.

Proposition 12. *The optimal solution for Model (36) satisfies
*

*Proof. *The second-order variation of the objective function of Model (36) with respect to is as follows:
It is easy to see that ; the optimal bonus coefficient satisfies the first-order condition
that is,
thus,
In the following, we testify that . Since ,
The proof is complete.

Corollary 13. *The optimal effort of the employee, the fixed wage, and the total wage paid by the employer are as follows:
*

*Proof. *It can be easily obtained from (10), (32), and the definition of the wage.

From the optimal solution of Model (9), it is easy to see that the fixed wage is increasing with the employee's reservation utility while the employee's effort level and the bonus coefficient is independent of it.

Proposition 14. *The optimal effort level of the employee, the fixed wage , and the optimal wage satisfy the following:**(i)** is increasing in **;**(ii)** is decreasing in **;**(iii)** is increasing in **.*

*Proof. *Result (i) can be immediately obtained from (10) and (15). Results (ii) and (iii) are proved as follows.

It follows from (32) that
Differentiating (46) and noting , , we can get
that is, is decreasing in . Result (ii) holds.

It follows from (45) that
Noting that and , we can get
that is, is increasing in . Result (iii) holds. The proof is complete.

This proposition shows that the fixed wage is decreasing with the ability of the employee while the total wage is increasing with the ability of the employee. Because the employee has private information about her ability; however, such a wage scheme would induce the employee to understate her ability in an attempt to receive higher fixed wage. To ensure that the employee does not misreport her ability, the employee must be provided with informational rents. Furthermore, to deter higher ability employees from mimicking as lower ones, higher ability employees must earn larger rents than lower ones.

#### 5. Numerical Example

In this section, a numerical example is given to verify the validity of the proposed model.

Let , , and , and is a linear uncertain variable; the support set of it is in . The uncertain wage contract model can be written as

By Propositions 6–12, the optimal effort of employee and the optimal wage contract can be calculated as follows: The profit function of the employer is The expected profit of the employer is The net income of the employee is

Figures 1 and 2 give the optimal effort of the employee, the optimal wage contract , and the optimal wage with different parameter and .

**(a) Optimal effort level with different**

**(b) Optimal fixed wage with different**

**(c) Optimal bonus coefficient with different**

**(d) Optimal wage with different**

**(a) Optimal effort level with different**

**(b) Optimal fixed wage with different**

**(c) Optimal bonus coefficient with different**

**(d) Optimal wage with different**

Figure 1 indicates that with the increase of the employee's ability, the employee's effort level increases, the fixed wage decreases, and the bonus coefficient and the wage paid by the employer increase. Furthermore, if parameter becomes larger, that is, the contribution of the employee's effort level to the productivity becomes greater, the employee pays more effort, the fixed wage becomes lower, and the bonus coefficient and the wage get higher.

Figure 2 shows that the optimal contract has the same monotonicity with Figure 1. In addition, Figure 2 also shows that if the parameter becomes larger, that is, the contribution of the employee's ability to the productivity becomes greater, the optimal effort level and the optimal bonus coefficient become smaller, and there exists a threshold for ability in which the fixed wage becomes higher when the ability of the employee is below it, and when the ability of the employee exceeds it the fixed wage becomes lower; in this case, the purpose of the employer is to motivate the employee to devote more efforts. Accordingly, with the increase of parameter , there exists another threshold below which the total wage is lower; when the ability of the employee exceeds it, the total wage is higher; this ensures that the employee with higher ability gets higher wages.

#### 6. Conclusion

This paper presents an uncertain wage contract model under adverse selection and hazard moral, in which the ability of the employee is unknown to the employer and is denoted by an uncertain variable, the effort level of the employee is unobservable to the employer, and the employee can select an effort level to maximize her utility. The purpose of the model is to maximize the employer's profit. To obtain the optimal solution, the equivalent model of the uncertain wage contract model is proposed. Applying the variational method, we get the optimal solution. In the end, a numerical example is given to verify the effectiveness of the established model. The result shows that the employer's effort and the wage are increasing with the employee's ability.

#### Conflict of Interests

The authors declare that there is no conflict of interests regarding the publication of this paper.

#### Acknowledgments

This work was supported partially by the Natural Science Foundation of China under Grants no. 71271151, 71371133, 71071106, and 71301114 and the Research Fund for the Specialized Research Fund for the Doctoral Program of Higher Education under Grants no. 20120032110071 and 20130032110015.

#### References

- R. B. Myerson, “Optimal coordination mechanisms in generalized principal-agent problems,”
*Journal of Mathematical Economics*, vol. 10, no. 1, pp. 67–81, 1982. View at: Publisher Site | Google Scholar | Zentralblatt MATH | MathSciNet - S. J. Grossman and O. D. Hart, “An analysis of the principal-agent problem,”
*Econometrica*, vol. 51, no. 1, pp. 7–45, 1983. View at: Publisher Site | Google Scholar | Zentralblatt MATH | MathSciNet - F. H. Page, Jr., “Optimal contract mechanisms for principal-agent problems with moral hazard and adverse selection,”
*Economic Theory*, vol. 1, no. 4, pp. 323–338, 1991. View at: Publisher Site | Google Scholar | Zentralblatt MATH | MathSciNet - Ö. Özer and G. Raz, “Supply chain sourcing under asymmetric information,”
*Production and Operations Management*, vol. 20, no. 1, pp. 92–115, 2011. View at: Publisher Site | Google Scholar - Y. Lan, R. Zhao, and W. Tang, “A yardstick competition approach to a multi-firm regulation problem under asymmetric information,”
*Journal of Computational and Applied Mathematics*, vol. 249, pp. 24–36, 2013. View at: Publisher Site | Google Scholar | MathSciNet - B. C. Greenwald, “Adverse selection in labour market,”
*The Review of Economic Studies*, vol. 53, no. 3, pp. 325–347, 1986. View at: Publisher Site | Google Scholar | Zentralblatt MATH - F. Chen, “Salesforce incentives, market information, and production/inventory planning,”
*Management Science*, vol. 51, no. 1, pp. 60–75, 2005. View at: Publisher Site | Google Scholar | Zentralblatt MATH - B. Liu, “Why is there a need for uncertainty theory?”
*Journal of Uncertain Systems*, vol. 6, no. 1, pp. 3–10, 2012. View at: Google Scholar - B. Liu,
*Uncertainty Theory*, vol. 154 of*Studies in Fuzziness and Soft Computing*, Springer, Berlin, Germany, 2nd edition, 2007. View at: MathSciNet - Y. Zhu, “Uncertain optimal control with application to a portfolio selection model,”
*Cybernetics and Systems*, vol. 41, no. 7, pp. 535–547, 2010. View at: Publisher Site | Google Scholar | Zentralblatt MATH - X. Chen and B. Liu, “Existence and uniqueness theorem for uncertain differential equations,”
*Fuzzy Optimization and Decision Making*, vol. 9, no. 1, pp. 69–81, 2010. View at: Publisher Site | Google Scholar | Zentralblatt MATH | MathSciNet - B. Liu,
*Theory and Practice of Uncertain Programming*, Springer, Berlin, Germany, 2nd edition, 2009. - Y.-F. Lan, Y.-K. Liu, and G.-J. Sun, “Modeling fuzzy multi-period production planning and sourcing problem with credibility service levels,”
*Journal of Computational and Applied Mathematics*, vol. 231, no. 1, pp. 208–221, 2009. View at: Publisher Site | Google Scholar | Zentralblatt MATH | MathSciNet - Y. Lan, R. Zhao, and W. Tang, “Minimum risk criterion for uncertain production planning problems,”
*Computers and Industrial Engineering*, vol. 61, no. 3, pp. 591–599, 2011. View at: Publisher Site | Google Scholar - R. Qin, Y.-K. Liu, and Z.-Q. Liu, “Methods of critical value reduction for type-2 fuzzy variables and their applications,”
*Journal of Computational and Applied Mathematics*, vol. 235, no. 5, pp. 1454–1481, 2011. View at: Publisher Site | Google Scholar | Zentralblatt MATH | MathSciNet - Y. Liu, X. Wu, and F. Hao, “A new Chance-Variance optimization criterion for portfolio selection in uncertain decision systems,”
*Expert Systems with Applications*, vol. 39, no. 7, pp. 6514–6526, 2012. View at: Publisher Site | Google Scholar - L. Cui, R. Zhao, and W. Tang, “Principal-agent problem in a fuzzy environment,”
*IEEE Transactions on Fuzzy Systems*, vol. 15, no. 6, pp. 1230–1237, 2007. View at: Publisher Site | Google Scholar - Y. Lan, R. Zhao, and W. Tang, “A bilevel fuzzy principal-agent model for optimal nonlinear taxation problems,”
*Fuzzy Optimization and Decision Making*, vol. 10, no. 3, pp. 211–232, 2011. View at: Publisher Site | Google Scholar | Zentralblatt MATH | MathSciNet - Y. Lan, R. Zhao, and W. Tang, “A fuzzy supply chain contract problem with pricing and warranty,”
*Journal of Intelligent and Fuzzy Systems*, vol. 26, no. 3, pp. 1527–1538, 2014. View at: Google Scholar - B. Liu,
*Uncertainty Theory: A Branch of Mathematics for Modeling Human Uncertainty*, Springer, Berlin, Germany, 2011. - B. Liu,
*Uncertainty Theory*, 4th edition, 2012, http://www.orsc.edu.cn/~liu/ut.pdf. - G. Wang, W. Tang, and R. Zhao, “An uncertain price discrimination model in labor market,”
*Soft Computing*, vol. 17, no. 4, pp. 579–585, 2012. View at: Google Scholar - R. Mu, Y. Lan, and W. Tang, “An uncertain contract model for rural migrant worker's employment problems,”
*Fuzzy Optimization and Decision Making*, vol. 12, no. 1, pp. 29–39, 2013. View at: Publisher Site | Google Scholar | MathSciNet - B. Liu, “Some research problems in uncertainty theory,”
*Journal of Uncertain Systems*, vol. 3, no. 1, pp. 3–10, 2009. View at: Google Scholar - Y. Liu and M. Ha, “Expected value of function of uncertain variables,”
*Journal of Uncertain Systems*, vol. 4, no. 3, pp. 181–186, 2010. View at: Google Scholar - S. Dutta, “Managerial expertise, private information, and pay-performance sensitivity,”
*Management Science*, vol. 54, no. 3, pp. 429–442, 2008. View at: Publisher Site | Google Scholar - E. Siemsen, S. Balasubramanian, and A. V. Roth, “Incentives that induce task-related effort, helping, and knowledge sharing in workgroups,”
*Management Science*, vol. 53, no. 10, pp. 1533–1550, 2007. View at: Publisher Site | Google Scholar - R. B. Myerson, “Incentive compatibility and the bargaining problem,”
*Econometrica*, vol. 47, no. 1, pp. 61–73, 1979. View at: Publisher Site | Google Scholar | Zentralblatt MATH | MathSciNet

#### Copyright

Copyright © 2014 Xiulan Wang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.