1 Introduction

The most eminent allocation rule for cooperative games with transferable utility (TU-games) may be the Shapley value introduced by Shapley (1953b). After the celebrated study of Shapley (1953b), many other axiomatic foundations for the rule were intensively studied.Footnote 1 In particular, Young (1985) shows that the Shapley value is the unique efficient rule that satisfies strong monotonicity and symmetry. These two properties focus on each player’s contributions in a game to determine their rewards. More precisely, (1) strong monotonicity states that each player receives more as his/her marginal contributions weakly increase and (2) symmetry requires that any two players receive the same amount if their contributions are equal. Therefore, the Shapley value can be thought of as an allocation rule completely based on each player’s performance.

In actual situations, however, we often use an allocation rule which can assign positive payoff to each player even if he/she cannot contribute for some reason. For example, in the case of wage assignment in a firm, each worker may receive a basic salary in addition to a reward for her contribution. This system may be more secure than a system without a basic salary given the possibility that employees cannot contribute because of, for instance, raising children. Constructing an allocation rule integrating this kind of social equity, which is often referred to as a solidarity principle, with contribution based rule, is one of the main concerns in recent literature of cooperative game theory (Nowak and Radzik 1994; Joosten 1996; Casajus and Huettner 2013, 2014; van den Brink et al. 2013; Joosten 2016). Also, in the same example, the wage may be affected by some index independent of one’s contributions, such as seniority, educational background, and entitlements. Moreover, in the case of redistribution of income in a society, each household has a heterogeneous background, such as the number of children or the presence of disability (Abe and Nakada 2017).Footnote 2 Modern taxation systems consider such heterogeneities. This observation raises the following question: what allocation rule reconciles performance-based evaluation with a solidarity principle and takes players’ heterogeneity into consideration?

To answer this question, this paper considers rules satisfying weaker monotonicity and symmetry. We show that these axioms (elaborated later) characterize the new class of rules, weighted-egalitarian Shapley values, where each rule in this class is given as a convex combination of the Shapley value and the weighted division (Béal et al. 2016). Each rule in our class can be interpreted as a redistribution rule, via which a player keeps a part of his income and offers the other part as a tax. After every player’s tax is collected, the total tax revenue is distributed among the players, albeit not equally. Depending on a player’s weight, the benefits received from the collected taxes may differ. Such weights might be given externally or they might be determined endogenously. In this paper, we study both setups.

First, we characterize the weighted-egalitarian Shapley values where a weight profile is endogenously determined. For monotonicity, we employ weak monotonicity, i.e., each player receives more if his contributions and the worth of the grand coalition increase.Footnote 3 This property does not require each player’s evaluation to depend only on his contribution but rather allows it to depend also on the worth of the grand coalition to reflect a solidarity principle. For the symmetry property, we consider the following two new axioms: weak differential marginality for symmetric players and ratio invariance for null players. The former axiom requires the following property. Suppose that there are two null players, i.e., players whose marginal contributions are zero. If the worth of the grand coalition keeps unchanged but these two players make the same additional contributions, then the two players should receive the same additional payoff. The latter axiom is a minimal fairness requirement for null players, which requires that the payoff ratio between two null players does not vary as long as they are null players. We show that a rule satisfies these axioms, efficiency and nullity if and only if it is a weighted-egalitarian Shapley value.

Second, we suppose that each player’s heterogeneity is parametrized by an exogenous weight profile. In this case, how we should integrate the exogenous weights into the two axioms, monotonicity and symmetry, is a problem. The three axioms efficiency\(^*\), weak monotonicity\(^*\), and ratio invariance for null players\(^*\) correspond to the axioms in the first case. For the symmetry property, we consider the following two new axioms: symmetry\(^*\) and fair evaluation for contribution. The former axiom states that any two players receive the same payoff if their contributions and weights are equal. In other words, even though their contributions are equal, we admit that the two players receive different payoffs if their weights are different. The latter axiom states that if a player additionally contributes, then a reward for his additional contributions should be evaluated impartially, regardless of his weight. That is, this axiom requires that we should take each player’s contributions and weight into consideration separately. We show that a rule satisfies these axioms if and only if it is a weighted-egalitarian Shapley value with an exogenous weight profile.

1.1 Related literature

Our results contribute to the literature regarding axiomatization of variants of the Shapley value to accommodate a solidarity principle and heterogeneity, in particular, the egalitarian Shapley values (Joosten 1996) and the weighted Shapley values (Shapley 1953a). We analyze the axiomatic differences among our rules, the egalitarian Shapley values and the weighted Shapley values.

The egalitarian Shapley values are rules that are convex combinations of the Shapley value and the equal division. That is, each player can obtain some amount of payoff equally and extra amount depending on his/her own contributions. In this sense, this rule can be considered as to combine marginalism and egalitarianism. Since the equal division is a special case of the weighted divisions, our rules subsume this class of rules. We show that the difference between this class and ours stems from different symmetry properties by comparing our result with that of Casajus and Huettner (2014); they characterize their rules by efficiency, weak monotonicity, and symmetry.

The weighted Shapley values are allocation rules based on weighted contributions. Although this rule and ours only share efficiency, the difference is understood as a consequence of the requirement of monotonicity and symmetry by comparing our result with that of Nowak and Radzik (1995); they characterize the class of rules by efficiency, strong monotonicity, mutual dependence and strict positivity, where mutual dependence implies ratio indifference for null players but weak differential marginality for symmetric players and strict positivity implies nullity under efficiency and weak monotonicity.Footnote 4 Note that strict positivity, which is formally defined in Sect. 5, is a variation of the positivity axiom discussed by Kalai and Samet (1987) that guarantees every player non-negative payoff for monotonic games. Joosten et al. (1994) consider another weak requirement called social acceptability, which requires that all players obtain non-negative payoff and, in particular, productive players receive more than or as mush as null players in a unanimity game.

Joosten (2016) introduces the egalitarian weighted Shapley values, that is, a class of rules that are convex combinations of a weighted Shapley value and the equal division. The difference between his class and ours lies in how to address a weight profile of players, that is, heterogeneity. In our rules, each player’s contributions are evaluated without weights, while the weights determine players’ “basic payoffs,” namely, the weighted division. In contrast, the egalitarian weighted Shapley values take into account the weights to evaluate each player’s contributions, while the “basic payoffs” are given as the equal division. In this sense, Joosten (2016)’s class and ours can be thought of as two different generalizations of the egalitarian Shapley values: the egalitarian Shapley value takes a middle ground between the weighted-egalitarian Shapley value and the egalitarian weighted Shapley values.Footnote 5

The remainder of this paper is organized as follows. In Sect. 2, we provide basic definitions and notation. In Sect. 3, we offer the main characterization of the weighted-egalitarian Shapley values. In Sect. 4, we offer the characterization of the weighted-egalitarian Shapley values in the case of exogenous weight profiles. In Sect. 5, we conclude this paper with some remarks. All proofs are relegated to the appendix.

2 Preliminaries

Let \(N=\{1,\ldots ,n\}\) be the set of players and the function \(v : 2^N \rightarrow \mathbb {R}\) with \(v(\emptyset )=0\) denote a characteristic function. A coalition of players is defined as a subset of the player set, \(S\subseteq N\). Let |S| denote the cardinality of coalition S. A cooperative TU-game is (Nv). Fixing the player set N, we denote by \(\mathcal {G}\) the set of all TU-games with the player set N. An allocation rule is denoted by \(f: \mathcal {G}\rightarrow \mathbb {R}^N\). Player i’s marginal contribution to coalition \(S\subseteq N{\setminus } \{i\}\) is defined as \(v(S\cup \{i\})-v(S)\). For each \(v \in \mathcal {G}\), we say that player \(i \in N\) is a null player in v if \(v(S\cup \{i\})-v(S)=0\) for all \(S \subseteq N{\setminus } \{i\}\). We also say that two players \(i, j \in N\) are symmetric in v if \(v(S \cup \{i\})-v(S) = v(S \cup \{j\})-v(S)\) for all \(S \subseteq N{\setminus } \{i, j\}\). For any nonempty coalition \(T \subseteq N\), the unanimity game \(u_T \in \mathcal {G}\) is defined as follows: for any \(S\in 2^N\),

$$\begin{aligned} u_T(S)= \left\{ \begin{array}{ll} 1 &{} \quad \mathrm{if}~~ T \subseteq S, \\ 0 &{} \quad \mathrm{otherwise}.\\ \end{array} \right. \end{aligned}$$

The Shapley value, Sh(v), is given as follows: for any player \(i\in N\),

$$\begin{aligned} Sh_i(v)=\sum _{S \subseteq N {\setminus } \{i\}}\frac{|S|!(|N|-|S|-1)!}{n!}(v(S \cup \{i\})-v(S)). \end{aligned}$$

The Shapley value assigns an average of marginal contributions to each player. Young (1986) shows that the Shapley value satisfies the following properties.

Efficiency, E. For any \(v\in \mathcal {G}\), \(\sum _{i \in N}f_i(v)=v(N)\).

Strong Monotonicity, M. For any \(v,v' \in \mathcal {G}\) and \(i\in N\), if \(v(S\cup \{i\})-v(S) \)\(\ge v'(S\cup \{i\})-v'(S)\) for all \(S \subseteq N{\setminus } \{i\}\), then \(f_i(v) \ge f_i(v')\).

Symmetry, SYM. For any \(v\in \mathcal {G}\) and \(i,j\in N\), if ij are symmetric in v, then we have \(f_i(v)=f_j(v)\).Footnote 6

The following theorem shows that the Shapley value is the unique solution satisfying these three properties.

Theorem 1

(Young 1986) An allocation rule \(f: \mathcal {G}\rightarrow \mathbb {R}^N\) satisfies (E), (M) and (SYM) if and only if \(f(v)=Sh(v)\) for all \(v \in \mathcal {G}\) .

Since the Shapley value determines each player’s payoff only depending on his/her contributions, it ignores both equity/solidarity and heterogeneity among players, which do not depend on contributions. In the following section, we introduce our class of rules that exhibit these features.

3 Axiomatization of the weighted egalitarian Shapley values

We define \(w=(w_i)_{i\in N} \in \mathbb {R}_{+}^N\) with \(\sum _{i \in N}w_i=1\) as a weight profile and \(\mathcal {W}\) as the set of all possible weight profiles.

First, we consider the following weaker version of monotonicity which was introduced by van den Brink et al. (2013).

Weak monotonicity, M\(^{-}\). For each \(v,v' \in \mathcal {G}\) with \(v(N)\ge v'(N)\), if \(v(S)-v(S \backslash \{i\}) \ge v'(S)-v'(S \backslash \{i\})\) for all \(S \subseteq N\) with \(i\in S\), then \(f_i(v) \ge f_i(v')\).

This property states that a player’s payoff weakly increases as his marginal contributions and the total value weakly increase. In contrast with (M), this property does not insist that each player’s evaluation totally depends on his contributions but rather allows that it can depend on the total value.

The next axiom is a requirement for the treatment of null players.

Ratio invariance for null players, RIN. For any \(v, v' \in \mathcal {G}\) and \(i, j \in N\) such that ij are null players in \(v, v'\), we have \(f_i(v) \cdot f_j (v') = f_i(v') \cdot f_j (v)\).

Ratio invariance for null players requires that as long as some players, say ij, contribute zero in both games v and \(v'\), the ratio of their payoffs, \(f_i(v)/f_j(v)\), does not vary.

The following axiom is a requirement for null players about additional contribution.

Weak differential marginality for symmetric players, WDMSP For any \(i,j\in N\) and \(v, v' \in \mathcal {G}\) such that ij are null players in v, if ij are symmetric in \(v'\) and \(v(N)=v'(N)\), then \(f_i(v)-f_i(v')=f_j(v)-f_j(v')\).

Note that players ij are also symmetric in v. Suppose that there are two null players in v. If the worth of the grand coalition keeps unchanged but these two players make the same additional contributions (from v to \(v'\)), then this axiom requires that the two players should receive the same additional payoff.Footnote 7 That is, the contribution itself is evaluated as the same as under the original symmetry axiom, but the axiom (WDMSP) does not exclude the possibility that the payoffs of two players can differ because of their heterogeneity, that is, \(f_i(v) \ne f_j(v)\) and \(f_i(v') \ne f_j(v')\) can be allowed.

The following axiom is a harmless feasibility requirement.

Nullity, NY Let \(\mathbf{0}\) be the null game. For any \(i\in N\), \(f_i(\mathbf{0})=0\).

Nullity is a weak feasibility condition, which requires that every player receives nothing if every coalition’s worth is zero. Nullity is called triviality in Chun (1989).

Now, we introduce the following new class of allocation rules, which we call weighted-egalitarian Shapley values:

$$\begin{aligned} f_i(v)=\delta \cdot Sh_i(v) + (1-\delta )\cdot w_iv(N)~\quad \mathrm{where}~ \delta \in [0,1]~\mathrm{and}~w \in \mathcal {W}. \end{aligned}$$

Note that the allocation rule is specified by two parameters \(\delta \in [0,1]\) and \(w \in \mathcal {W}\). For \(\delta =1\), the allocation rule coincides with the Shapley value and distributes the surplus v(N) based only on the players’ contributions. For \(\delta =0\), our rule coincides with the weighted devision (Béal et al. 2016). It is clear that rules in this class satisfy all of the axioms. Now, we are ready to offer our main axiomatization result as follows.

Theorem 2

Suppose that \(n \ne 2\). An allocation rule \(f: \mathcal {G}\rightarrow \mathbb {R}^N\) satisfies (E), (\(\mathrm {M}^{-}\)), (RIN), (WDMSP), and (NY) if and only if there exists a \(\delta \in [0,1]\) and a weight profile \(w \in \mathcal {W}\) such that \(f_i(v)=\delta \cdot Sh_i(v) + (1-\delta )\cdot w_i v(N)\) for all \(v \in \mathcal {G}\).

Proof

See Appendix A. \(\square \)

For the independence of the axioms, examples are available in Appendix C. Note that, when \(n=2\), there is an allocation rule which satisfies all the axioms, but such a rule is not included in our class. In this sense, uniqueness of the class of rules does not hold when \(n=2\). A counterexample is also available in Appendix C.

4 Axiomatization of the weighted egalitarian Shapley values with an exogenous weight

In this section, we assume that a profile \(w=(w_i)_{i \in N}\in \mathcal {W}\) is exogenously given. That is, we consider an allocation rule in the extended domain \(f: \mathcal {G}\times \mathcal {W} \rightarrow \mathbb {R}^N\).

We first introduce the analogs of the axioms in the previous section.

Efficiency\(^*\), E\(^*\). For any \(v\in \mathcal {G}\) and \(w \in \mathcal {W}\), \(\sum _{i \in N}f_i(v,w)=v(N)\).

Weak monotonicity\(^*\), M\(^{-*}\). For any \(v,v' \in \mathcal {G}\), \(w \in \mathcal {W}\) and \(i\in N\), if \(v(N)\ge v'(N)\) and \(v(S\cup \{i\})-v(S) \ge v'(S\cup \{i\})-v'(S)\) for all \(S \subseteq N{\setminus } \{i\}\), then \(f_i(v,w) \ge f_i(v',w)\).

Ratio invariance for null players\(^*\), RIN\(^*\). For any \(v\in \mathcal {G}\), \(w \in \mathcal {W}\) and any null players \(i,j\in N\), we have \(w_i\cdot f_j(v,w)=w_j\cdot f_i(v,w)\).

Symmetry\(^*\), SYM\(^{*}\). For any \(v\in \mathcal {G}\), \(w \in \mathcal {W}\) and \(i,j\in N\), if ij are symmetric in v and \(w_i=w_j\), then we have \(f_i(v,w)=f_j(v,w)\).

Symmetry\(^*\) requires that two players whose contributions and priorities are the same should receive the same amount. If we fix w to the equal weight \((\frac{1}{n},\ldots ,\frac{1}{n})\), this is equivalent to usual symmetry. Note that we allow different payoffs for two players, even if their contributions are the same, as long as their weights are different.

In addition to the axioms above, we impose the following requirement to take each player’s contributions and weights into consideration separately, which supports our motivation to consider heterogeneity.

Fair evaluation for contribution, FEC\(^*\). For any \(v \in \mathcal {G}\), \(w, w' \in \mathcal {W}\) and \(i \in N\),

$$\begin{aligned} f_i(v,w)-f_i(\mu ^{v,i},w)=f_i(v,w')-f_i(\mu ^{v,i},w'), \end{aligned}$$

where \(\mu ^{v,i}=v(N)u_{N{\setminus } \{i\}}\).

This axiom describes how the payoff of a player changes due to a shift between the two weight profiles. The axiom requires that the payoff difference generated from this shift should be the same as long as productivity of the other players keeps unchanged and this player i is a null player. The following result shows that the rule satisfies these five axioms if and only if it is the weighted-egalitarian Shapley values with an exogenously determined weight profile \(w \in \mathcal {W}\).

Theorem 3

Suppose \(n \ne 2\). An allocation rule \(f: \mathcal {G}\times \mathcal {W}\rightarrow \mathbb {R}^N\) satisfies (E\(^*\)), (M\(^{-*}\)), (RIN\(^*\)), (SYM\(^{*}\)), and (FEC\(^*\)) if and only if there exists a \(\delta \in [0,1]\) such that \(f_i(v,w)=\delta \cdot Sh_i(v) + (1-\delta )\cdot w_i v(N)\) for all \(v \in \mathcal {G}\).

Proof

See Appendix B. \(\square \)

As elaborated in the appendices, the technical difference between Theorems 2 and 3 lies in the “order” of intermediate claims of the proofs. In the proof of Theorem 3, we first specify the form of the Shapley value, while we first obtain the weighted division in Theorem 2.

Examples for the independence of the axioms and a counterexample for \(n=2\) are given in Appendix C

5 Concluding remarks

In this paper, we propose and axiomatically characterize a new class of allocation rules called weighted-egalitarian Shapley values. This allocation rule integrates equity and heterogeneity with the Shapley value.

As briefly argued in Sect. 1, monotonicity and symmetry distinguish our class of rules from the other rules, such as the egalitarian Shapley values and the weighted Shapley values. Below, we elaborate the differences amongst these classes of rules by comparing the axioms.

Joosten (1996) introduces the class of the egalitarian Shapley values, which are convex combinations of the Shapley value and the equal division:

$$\begin{aligned} f_i(v)=\delta \cdot Sh_i(v) + (1-\delta )\cdot \frac{v(N)}{n}\quad \mathrm{where}~ \delta \in [0,1]. \end{aligned}$$

Note that this class of rules is a subset of weighted-egalitarian Shapley values (i.e., \(w=(\frac{1}{n},\ldots ,\frac{1}{n})\)). To clarify the difference between our allocation rules and the egalitarian Shapley values, we consider the characterization of Casajus and Huettner (2014).

Theorem 4

(Casajus and Huettner 2014) Suppose \(n \ne 2\). An allocation rule \(f: \mathcal {G}\rightarrow \mathbb {R}^N\) satisfies (E), (M\(^{-}\)), (SYM) if and only if there exists a \(\delta \in [0,1]\) such that \(f_i(v)=\delta \cdot Sh_i(v) + (1-\delta )\cdot \frac{v(N)}{n}\) for all \(v \in \mathcal {G}\).

By comparing Theorem 2 with Theorem 4, the difference between these two rules is observed to be the requirement of symmetry. As Table 1 shows, the weighted-egalitarian Shapley values no longer satisfy symmetry, while all egalitarian Shapley values obey symmetry. This difference should be ascribed to the weight which each weighted-egalitarian Shapley value contains. To see what properties the weight makes a solution obey/violate, we briefly introduce another variation of the Shapley value, the weighted Shapley values.

Shapley (1953a) introduces the class of weighted Shapley values \(Sh^w_i(v)\), which is a unique linear solution such that for each unanimity game \(u_T\), there is a weight \(w\in \mathbb {R}^N_{++}\) with \(\sum _{j\in N}w_j=1\) such that

$$\begin{aligned} Sh^w_i(u_T)= \left\{ \begin{array}{ll} \frac{w_i}{\sum _{j\in T}w_j} &{}\quad \mathrm{if}~~ i \in T, \\ 0 &{}\quad \mathrm{otherwise}.\\ \end{array} \right. \end{aligned}$$

Similar to the Shapley value, the weighted Shapley values satisfy (M). Therefore, this rule can be considered as a performance-based rule. However, the weighted Shapley values allow us to allocate players’ surplus based not only on their contributions but also on their weights, that is, heterogeneity is taken into account.

Nowak and Radzik (1995) consider the following axioms.

Mutual dependence, MD. For any two players \(i, j \in N\) and \(v, v' \in \mathcal {G}\), if ij are symmetric in v and \(v'\), then \(f_i(v)f_j(v')=f_i(v')f_j(v)\).

Strict positivity, SP. For any monotonic \(v \in \mathcal {G}\) such that there are no null players, we have \(f_i(v)>0\) for all \(i \in N\).Footnote 8

They show that these properties, together with (E) and (M), characterize the weighted Shapley values as follows.Footnote 9

Theorem 5

(Nowak and Radzik 1995) An allocation rule \(f: \mathcal {G}\rightarrow \mathbb {R}^N\) satisfies (E), (M), (MD) and (SP) if and only if there exists a weight \(w\in \mathbb {R}^N_{++}\) with \(\sum _{j\in N}w_j=1\) such that \(f_i(v)=Sh_i^w\) for all \(v \in \mathcal {G}\).

Note that (MD) implies (RIN) but not (WDMSP). Moreover, under (E) and (M\(^{-}\)), (SP) implies (NY).Footnote 10 Therefore, considering Theorems 2 and 5, monotonicity and symmetry are the differences between these two rules.

Table 1 Axioms and Rules. Abbreviation “w-egSh” means the weighted-egalitarian Shapley values, “egSh” means the egalitarian Shapley values, and “w-Sh” is the weighted Shapley values

Given that our rule has an axiomatic foundation similar to that of the weighted Shapley values, we may weaken the properties and obtain another class of meaningful rules. For example, there exist \(\delta \in [0,1]\), \(w \in \mathcal {W}\) and \(z \in \mathbb {R}^N_{++}\) with \(\sum _{j\in N}z_j=1\) such that

$$\begin{aligned} f_i(v)=\delta \cdot Sh^z_i(v) + (1-\delta )\cdot w_iv(N). \end{aligned}$$

When \(w=(1/n, \ldots , 1/n)\), as briefly mentioned in Sect. 1, the rules are called the egalitarian weighted Shapley values introduced by Joosten (2016), which is another generalization of the egalitarian Shapley values. Hence, the class above contains both the weighted-egalitarian Shapley values and the egalitarian weighted Shapley values, whose intersection is the egalitarian Shapley values. We conjecture that this general class can be characterized by weak monotonicity and a variant of symmetry.