1 Introduction

The Shapley value (Shapley 1953) probably is the most eminent (one-point) solution concept for cooperative games with transferable utility (TU games). Among these solution concepts, the Shapley value can be viewed as the measure of the players’ individual productivity in a game. This view is strongly supported by Young’s (1985) characterization via three properties: efficiency, strong monotonicity, and symmetry.Footnote 1 Efficiency says that the worth generated by the grand coalition is distributed among the players. Strong monotonicity requires a player’s payoff weakly to increase whenever her productivity, measured by her marginal contributions to coalitions of the other players, weakly increases. Symmetry ensures that equally productive players obtain the same payoff.

Modern societies and institutions, however, distribute their wealth not only based on individual productivity but also on solidarity or egalitarian principles. In order to reflect this fact, alternative solution concepts have been developed. Most notably, Joosten (1996) introduces a particularly appealing class of such solutions, the egalitarian Shapley values, which are the convex mixtures of the Shapley value and the equal division value. That is, an egalitarian Shapley value redistributes the Shapley payoffs as follows: First, the Shapley payoffs are taxed proportionally at a fixed rate. Second, the total tax revenue is distributed equally among all players.Footnote 2

Among the egalitarian Shapley values, the Shapley value is the only value that satisfies strong monotonicity. Two roads have been taken in order to reconcile the marginalism embodied in strong monotonicity with solidarity or egalitarianism.

van den Brink et al. (2013) suggest a relaxation of strong monotonicity called weak monotonicity. Weak monotonicity requires a player’s payoff weakly to increase whenever both her productivity and the worth generated by the grand coalition weakly increase. Casajus and Huettner (2014b) show that the class of egalitarian Shapley values is characterized by efficiency, symmetry, and weak monotonicity, unless there are just two players.Footnote 3

Casajus (2011) considers a differential version of marginality (see footnote 1) called differential marginality, which demands equal productivity differentials to translate into equal payoff differentials, i.e., whenever the differential of their marginal contributions to coalitions containing neither of them does not change then the differential of their payoffs does not change. Interestingly, differential marginality coincides with the fairness property due to van den Brink (2001) on the full domain of games, for example. Hence, the latter can be replaced with the former in van den Brink’s (2001) characterization of the Shapley value, i.e., differential marginality together with efficiency and the null player property characterize the Shapley value.

Later on, Casajus and Huettner (2013) strengthen differential marginality into a differential version of strong monotonicity called strong differential monotonicity. This property requires two players’ payoff differential weakly to increase whenever their productivity differential weakly increases. They show that the egalitarian Shapley values are characterized by efficiency, the null player in a productive environment property, and strong differential monotonicity, unless there are just two players. The null player in a productive environment property relaxes the standard null player property by requiring a non-negative payoff for null players only when the worth generated by the grand coalition is non-negative.

Recently, Casajus and Yokote (2017) introduce a substantial relaxation of differential marginality called weak differential marginality. Differential marginality can be rephrased as that equal changes in two players’ productivities, i.e., their marginal contributions to coalitions containing neither of them change by the same amount, entails that their payoffs change by the same amount, which obviously implies that both payoffs change in the same direction. Weak differential marginality relaxes differential marginality in this vein. Equal changes in two players’ productivities should entail that their payoffs change in the same direction. Using this property, they considerably improve the characterization of the Shapley value by Casajus (2011) . For games with more than two players, the Shapley value can be characterized by efficiency, the null player property, and weak differential marginality.

In this paper, we consider a relaxation of differential monotonicity called weak differential monotonicity, which relaxes differential monotonicity in the same vein as weak differential marginality relaxes differential marginality. Weak differential monotonicity refers to situations where one player’s change of marginal contributions is weakly greater than another player’s change of marginal contributions. If, in such situations, the latter player’s payoff weakly/strictly increases, then the former player’s payoff also weakly/strictly increases. First, we show that one cannot replace differential monotonicity with weak differential monotonicity in Casajus and Huettner’s (2013) characterization of the egalitarian Shapley values. Second, for games with more than three players, the egalitarian Shapley values can be characterized by efficiency, a relaxation of the dummy player property, and weak differential monotonicity.

The remainder of this paper is organized as follows. In Sect. 2, we give basic definitions and notation. In Sect. 3, we present our main result. Some remarks conclude this paper. An appendix contains the proof of our main result and some complementary findings.

2 Basic definitions and notation

A (finite TU) game on a non-empty and finite set of players N is given by a coalition function\(v\in \mathbb {V}( N) :=\{ f:2^{N}\rightarrow \mathbb {R}\mid f( \emptyset ) =0\} ,\) where \(2^{N}\ \)denotes the power set of N. Subsets of N are called coalitions; v(S) is called the worth of coalition S. Since we deal with a fixed player set N, the latter mostly is dropped as an argument.

Player \(i\in N\) is called a dummy player in \(v\in \mathbb {V}\) if \(v( S\cup \{ i \} ) -v\left( S\right) =v\left( \left\{ i\right\} \right) \) for all \(S\subseteq N{\setminus }\left\{ i\right\} ;\) player \(i\in N\) is called a null player in \(v\in \mathbb {V}\) if \(v\left( S\cup \left\{ i\right\} \right) =v\left( S\right) \) for all \(S\subseteq N{\setminus }\left\{ i\right\} \); players \(i,j\in N\) are called symmetric in \(v\in \mathbb {V}\) if \(v\left( S\cup \left\{ i\right\} \right) =v\left( S\cup \left\{ j\right\} \right) \) for all \(S\subseteq N{\setminus }\left\{ i,j\right\} \).

For \(v,w\in \mathbb {V}\) and \(\alpha \in \mathbb {R}\), the coalition functions \(v+w\in \mathbb {V}\) and \(\alpha \cdot v\in \mathbb {V}\) are given by \(\left( v+w\right) \left( S\right) =v\left( S\right) +w\left( S\right) \) and \(\left( \alpha \cdot v\right) \left( S\right) =\alpha \cdot v\left( S\right) \) for all \(S\subseteq N.\) The game \(\mathbf {0}\in \mathbb {V}\ \)given by \(\mathbf {0}\left( S\right) =0\) for all \(S\subseteq N\) is called the null game. For \(T\subseteq N,\)\(T\ne \emptyset ,\) the game \(u_{T} \in \mathbb {V}\) given by \(u_{T}\left( S\right) =1\) if \(T\subseteq S\) and \(u_{T}\left( S\right) =0\) otherwise is called a unanimity game. Any \(v\in \mathbb {V}\) can be uniquely represented by unanimity games. In particular, we have

$$\begin{aligned} v=\sum _{T\subseteq N:T\ne \emptyset }\lambda _{T}\left( v\right) \cdot u_{T}, \end{aligned}$$
(1)

where the coefficients \(\lambda _{T}\left( v\right) \) are known as the Harsanyi dividends (Harsanyi 1959) and can be determined recursively by

$$\begin{aligned} \lambda _{T}\left( v\right) :=v\left( T\right) -\sum _{S\subsetneq T:S\ne \emptyset }\lambda _{S}\left( v\right) \qquad \text {for all }T\subseteq N,~T\ne \emptyset . \end{aligned}$$
(2)

A game \(v\in \mathbb {V}\) is called inessential if all \(i\in N\) are dummy players in v. The set of inessential games is denoted by \(\mathbb {\bar{V}}\).

A solution/value on N is a mapping \(\varphi :\mathbb {V\rightarrow R}^{N}.\) The Shapley value (Shapley 1953) , \(\mathrm {Sh}\), is given by

$$\begin{aligned} \mathrm {Sh}_{i}\left( v\right) :=\sum _{T\subseteq N:i\in T}\left| T\right| ^{-1}\cdot \lambda _{T}\left( v\right) \qquad \text {for all } v\in \mathbb {V}\text { and }i\in N. \end{aligned}$$
(3)

The equal division value, \(\mathrm {ED}\), is given by

$$\begin{aligned} \mathrm {ED}_{i}\left( v\right) :=\frac{v\left( N\right) }{\left| N\right| }\qquad \text {for all }v\in \mathbb {V}\text { and }i\in N. \end{aligned}$$

The egalitarian Shapley values (Joosten 1996) , \(\mathrm {Sh}^{\alpha },\)\(\alpha \in \left[ 0,1\right] \) are given by

$$\begin{aligned} \mathrm {Sh}_{i}^{\alpha }\left( v\right) =\alpha \cdot \mathrm {Sh}_{i}\left( v\right) +\left( 1-\alpha \right) \cdot \mathrm {ED}_{i}\left( v\right) \qquad \text {for all }v\in \mathbb {V}\text { and }i\in N. \end{aligned}$$
(4)

In the following, we make use of the following standard properties of solutions.

Efficiency, E. For all \(v\in \mathbb {V},\) we have \(\sum _{\ell \in N}\varphi _{\ell }\left( v\right) =v\left( N\right) .\)

Null player, N. For all \(v\in \mathbb {V}\) and \(i\in N\) such that i is a null player in v,  we have \(\varphi _{i}\left( v\right) =0.\)

Dummy player, D. For all \(v\in \mathbb {V}\) and \(i\in N\) such that i is a dummy player in v,  we have \(\varphi _{i}\left( v\right) =v\left( \left\{ i\right\} \right) .\)

3 Weak differential monotonicity and the egalitarian Shapley values

While the egalitarian Shapley values except the Shapley value itself fail Young’s (1985) strong monotonicity property, they satisfy a differential version of this property due to Casajus and Huettner (2013) .

Differential monotonicity, DMo. For all \(v,w\in \mathbb {V}\) and \(i,j\in N\) such that

$$\begin{aligned} v\left( S\cup \left\{ i\right\} \right) -v\left( S\cup \left\{ j\right\} \right) \ge w\left( S\cup \left\{ i\right\} \right) -w\left( S\cup \left\{ j\right\} \right) \quad \text {for all }S\subseteq N{\setminus }\left\{ i,j\right\} , \end{aligned}$$

we have

$$\begin{aligned} \varphi _{i}\left( v\right) -\varphi _{j}\left( v\right) \ge \varphi _{i}\left( w\right) -\varphi _{j}\left( w\right) . \end{aligned}$$

For games with more than two players, differential monotonicity together with efficiency and the following null player in a productive environment property characterize the egalitarian Shapley values.

Null player in a productive environment, NPE. For all \(v\in \mathbb {V}\) and \(i\in N\) such that i is a null player in v and \(v\left( N\right) \ge 0,\) we have \(\varphi _{i}\left( v\right) \ge 0.\)

Theorem 1

(Casajus and Huettner 2013, Theorem 4) For \(\left| N\right| >2\), a value \(\varphi \) satisfies efficiency (E), the null player in a productive environment property (NPE), and differential monotonicity (DMo) if and only if there exists an \(\alpha \in \left[ 0,1\right] \) such that \(\varphi =\mathrm {Sh}^{\alpha }\).

Hypothesis and implication of differential monotonicity can be rewritten as

$$\begin{aligned} v\left( S\cup \left\{ i\right\} \right) -w\left( S\cup \left\{ i\right\} \right) \ge v\left( S\cup \left\{ j\right\} \right) -w\left( S\cup \left\{ j\right\} \right) \qquad \text {for all }S\subseteq N{\setminus }\left\{ i,j\right\} \end{aligned}$$
(5)

and

$$\begin{aligned} \varphi _{i}\left( v\right) -\varphi _{i}\left( w\right) \ge \varphi _{j}\left( v\right) -\varphi _{j}\left( w\right) , \end{aligned}$$
(6)

respectively. That is, differential monotonicity can be paraphrased as follows. Whenever one player’s change in her productivity is weakly greater than that of another player, the former player’s change in her payoff is weakly greater than that of the latter.

In the following, we suggest a considerable relaxation of differential monotonicity called weak differential monotonicity that relaxes differential monotonicity in the same vein as weak differential marginality (Casajus and Yokote 2017) relaxes differential marginality (Casajus 2011) , the latter two properties given below. Note that we rewrite these properties in analogy to (5) and (6). We use the sign function \({\text {sign}}:\mathbb {R}\rightarrow \left\{ -1,0,1\right\} \) given by \({\text {sign}}\left( x\right) =1\) for \(x>0,\)\({\text {sign}}\left( 0\right) =0,\) and \({\text {sign}} \left( x\right) =-1\) for \(x<0.\)

Differential marginality, DM For all \(v,w\in \mathbb {V}\) and \(i,j\in N\) such that

$$\begin{aligned} v\left( S\cup \left\{ i\right\} \right) -v\left( S\cup \left\{ j\right\} \right) =w\left( S\cup \left\{ i\right\} \right) -w\left( S\cup \left\{ j\right\} \right) \qquad \text {for all }S\subseteq N{\setminus }\left\{ i,j\right\} , \end{aligned}$$

we have

$$\begin{aligned} \varphi _{i}\left( v\right) -\varphi _{i}\left( w\right) =\varphi _{j}\left( v\right) -\varphi _{j}\left( w\right) . \end{aligned}$$

Weak differential marginality, DM\(^{-}\). For all \(v,w\in \mathbb {V}\) and \(i,j\in N\) such that

$$\begin{aligned} v\left( S\cup \left\{ i\right\} \right) -w\left( S\cup \left\{ i\right\} \right) =v\left( S\cup \left\{ j\right\} \right) -w\left( S\cup \left\{ j\right\} \right) \qquad \text {for all }S\subseteq N{\setminus }\left\{ i,j\right\} , \end{aligned}$$

we have

$$\begin{aligned} {\text {sign}}\left( \varphi _{i}\left( v\right) -\varphi _{i}\left( w\right) \right) ={\text {sign}}\left( \varphi _{j}\left( v\right) -\varphi _{j}\left( w\right) \right) . \end{aligned}$$

Weak differential marginality can be paraphrased as follows. Whenever two player’s productivity changes by the same amount, then their payoffs change in the same direction. For games with more than two players, one can replace the fairness property and differential marginality with weak differential marginality in the characterizations of the Shapley value by van den Brink (2001, Theorem 2.5) and Casajus (2011, Corollary 5) , respectively

Theorem 2

(Casajus and Yokote 2017, Theorem 2)Let \(\left| N\right| >2.\) The Shapley value is the unique value that satisfies efficiency (E), the null player property (N), and weak differential marginality (DM\(^{-}\)).

We define weak differential monotonicity in analogy to weak differential marginality and differential monotonicity.

Weak differential monotonicity, DMo\(^{-}\) For all \(v,w\in \mathbb {V}\) and \(i,j\in N\) such that

$$\begin{aligned} v\left( S\cup \left\{ i\right\} \right) -w\left( S\cup \left\{ i\right\} \right) \ge v\left( S\cup \left\{ j\right\} \right) -w\left( S\cup \left\{ j\right\} \right) \quad \text {for all }S\subseteq N{\setminus }\left\{ i,j\right\} , \end{aligned}$$

we have

$$\begin{aligned} {\text {sign}}\left( \varphi _{i}\left( v\right) -\varphi _{i}\left( w\right) \right) \ge {\text {sign}}\left( \varphi _{j}\left( v\right) -\varphi _{j}\left( w\right) \right) . \end{aligned}$$

One can easily check that the implication of weak differential monotonicity is equivalent to (i) \(\varphi _{j}\left( v\right) \ge \varphi _{j}\left( w\right) \) implies \(\varphi _{i}\left( v\right) \ge \varphi _{i}\left( w\right) \) and (ii) \(\varphi _{j}\left( v\right) >\varphi _{j}\left( w\right) \) implies \(\varphi _{i}\left( v\right) >\varphi _{i}\left( w\right) \). That is, weak differential monotonicity can be paraphrased as follows. Whenever one player’s change in her productivity is weakly greater than that of another player, then the direction of the change of these players’ payoffs does not contradict the changes in their productivities.

Unfortunately, one cannot simply replace differential monotonicity with weak differential monotonicity in Theorem 1. Consider the strictly positively weighted division values (Béal et al. 2016, Theorem 2) . Let

$$\begin{aligned} \Delta _{++}^{N}:=\left\{ x\in \mathbb {R}^{N}\mid x_{\ell }>0~\text {for all }\ell \in N~\text {and~}\sum _{\ell \in N}x_{\ell }=1\right\} \end{aligned}$$

denote the set of all strictly positive weight vectors. For \(\omega \in \Delta _{++}^{N},\) the \(\omega \)-weighted division value \(\mathrm {WD}^{\omega }\) is given by

$$\begin{aligned} \mathrm {WD}_{i}^{\omega }\left( v\right) =\omega _{i}\cdot v\left( N\right) \qquad \text {for all }v\in \mathbb {V}~\text {and~}\ell \in N. \end{aligned}$$

One can easily check that these values satisfy efficiency, the null player in a productive environment property, and weak differential monotonicity, but fail differential monotonicity and therefore are not egalitarian Shapley values as long as the weights are not uniform.

In order to restore most of the implications of Theorem 1 after replacing differential monotonicity with weak differential monotonicity, we consider a property that is stronger than the null player in a productive environment property but weaker than the dummy player property.

Average dummy player, AD. For all \(v\in \mathbb {V}\) and \(i\in N\) such that i is a dummy player in v, we have that

  1. (i)

    \(v\left( \left\{ i\right\} \right) \ge v\left( N\right) /\left| N\right| \) implies \(\varphi _{i}\left( v\right) \le v\left( \left\{ i\right\} \right) ,\)

  2. (ii)

    \(v\left( \left\{ i\right\} \right) \le v\left( N\right) /\left| N\right| \) implies \(\varphi _{i}\left( v\right) \ge v\left( \left\{ i\right\} \right) .\)

Whenever a dummy player is weakly more (less) productive than the average of all players, then her payoff is not greater (lower) than her productivity. In the first case, such a player should not be “subsidized” by the other players, in the second, she should not be required to contribute to “subsidizing” other players. Note that average dummy player property is related to the average property used by Yokote and Casajus (2017, Theorem 2) in order to characterize the flat tax and a basic income within a simple framework of the redistribution of income in a society.

Theorem 3

For \(\left| N\right| >3\), a value \(\varphi \) satisfies efficiency (E), the average dummy player property (AD), and weak differential monotonicity (DMo\(^{-}\)) if and only if there exists an \(\alpha \in \left[ 0,1\right] \) such that \(\varphi =\mathrm {Sh}^{\alpha }\).

The proof of Theorem 3 can be found in Appendix AAppendix B contains the counterexample to our characterization for \(\left| N\right| =2.\) The non-redundancy of our characterization is indicated in Appendix C. It remains an open question whether Theorem 3 holds true for \(\left| N\right| =3\) or not.

4 Concluding remarks

As differential marginality, differential monotonicity implicitly assumes that the players’ payoff differences are inter-personally comparable. For, differential monotonicity requires that, depending on the games, the difference of one player’s payoffs in two games is weakly greater than the difference of some other player’s payoffs in these games. In contrast, weak differential marginality and weak differential monotonicity are rather based on intra-personal comparisons. For example, weak differential marginality requires that, depending on the games, one player is better off in one game if and only if some other player also is better off in this game.

Shapley (1988, p. 307) first recognizes that “[i]nterpersonal comparability of utility is generally regarded as an unsound basis on which to erect theories of multipersonal behavior.” Even though he then argues that “it enters naturally [...] as a nonbasic, derivative concept playing an important if sometimes hidden role in the theories of bargaining, group decisionmaking, and social welfare”, one may not wish to directly impose inter-personal utility comparison. In this sense, Casajus and Yokote (2017, Theorem 2) and our Theorem 3 improve the previous results by van den Brink (2001, Theorem 2.5) , Casajus (2011, Corollary 5), and—cum grano salis— Casajus and Huettner (2013, Theorem 4).