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Foundations of utilitarianism under risk and variable population

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Abstract

Utilitarianism is the most prominent social welfare function in economics. We present three new axiomatic characterizations of utilitarian (that is, additively-separable) social welfare functions in a setting where there is risk over both population size and individuals’ welfares. We first show that, given uncontroversial basic axioms, Blackorby et al.’s (J Popul Econ 11:1–20, 1998) Expected Critical-Level Generalized Utilitarianism is equivalent to a new axiom holding that it is better to allocate higher utility-conditional-on-existence to possible people who have a higher probability of existence. The other two characterizations extend and clarify classic axiomatizations of utilitarianism from settings with either social risk or variable-population, considered alone.

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Notes

  1. For example, the widely-used sufficient statistics method of Chetty (2009) and the optimal income tax problem of Mirrlees (1971) both assume a utilitarian social criterion. In some economic experiments, utilitarian allocations receive substantial (although not universal) support Jackson and Yariv (2014).

  2. Many of Fleurbaey’s results are general enough to include non-egalitarian approaches such as classical utilitarianism and other families; we focus on a particular subset, detailed below, that is separable in same-number, risk-free cases but not otherwise.

  3. Although Fleurbaey proposed EEDE in a fixed-population context, for the purposes of comparison with ECLGU we expand it to variable populations with the \(n^a\) term, which permits averageist (\(a=0\)), totalist (\(a=1\)), or variable-value special cases. Parameter c is known in the literature as a critical-level parameter. Blackorby et al. (2005) argued in favor of critical-level utilitarianism with positive critical-level. Because all of our Examples that differentiate ECLGU and EEDE use same-population-size pairwise comparisons, they hold for any a and c. For formal definitions of the criteria, see Definitions 2 and 1.

  4. Fleurbaey ’s (2010) approach is more general and is also compatible with other non-additive social criteria. Fleurbaey also considers non-continuous social orderings.

  5. Blackorby et al. (1998) explicitly state Welfarism as an axiom. Here, to simplify the analysis, we only implicitly make the assumption in order to avoid introducing states of affairs, lotteries over states of affairs, and the corresponding welfarist information. But we could as well use the framework of Blackorby et al. (1998). Welfarism itself is often derived from more basic principles, typically Pareto indifference and Anonymity. See Blackorby et al. (1999, 2005) for an example in a variable-population framework assuming a multi-profile setting; and Blackorby et al. (2006) in a fixed-population framework assuming a single profile of utility. Note that we exclude empty populations where nobody exists for the sake of simplicity: we could account for them by setting the value of empty populations to zero.

  6. Hence, we implicitly assume the property of Social certainty consistency by Blackorby et al. (1998).

  7. Hence, we do not require an interpretation of risky personal identity beyond ordinary usage: a person may or may not be born, and if so may face risk. Individuals here are assumed to be people with well-defined values and preferences. We do not use a more elusive notion of identities or souls that could be incarnate in different places and times.

  8. In contrast with our approach, which preserves Social expected-utility but weakens ex ante Pareto in individuals’ expected utility, a number of other important contributions to the recent literature have furthered Harsanyi’s theorem by weakening Social expected-utility (Fleurbaey 2009; Mongin and Pivato 2005; Zuber 2016; McCarthy et al. 2020).

  9. In the context of Pareto and continuity in a complete and transitive ordering, Minimal existence of a critical level would follow immediately from the apparently weaker assumption that there are \({\bar{c}}, {\underline{c}} \in \mathbb {R}\) such that if \({\bar{v}}_i={\bar{c}}\), \({\underline{v}}_i={\underline{c}}\), and definitions are otherwise as in the axiom, then \({\bar{v}}\nprec u\) and \({\underline{v}} \nsucc u\). This weakening is an application of Broome (2005).

  10. Minimal existence of a critical level is actually not needed for this result, but for the sake of simplicity, we assume throughout that all the Basic Principles hold.

  11. Note that the proof of Theorem 1 in Blackorby et al. (1998) is based on a previous result by Blackorby and Donaldson (1984) that assumes that \(\succsim \) restricted to sure alternatives is representable by a function \(V:U\rightarrow \mathbb {R}\). Because we assume Social expected-utility, we have this representability assumption built into our axiomatization.

  12. For a discussion of various prioritarian criteria, see Parfit (1995); Adler and Treich (2017).

  13. Our version of EEDE is in fact a specific case of the Expected Prioritarian Equally Distributed Equivalent social ordering axiomatized by Fleurbaey and Zuber (2015).

  14. In our context of Anonymity and Social expected-utility, it is equivalent to assume a version where two utility levels are allocated to fixed probabilities or a version where two probabilities are allocated to fixed utility levels.

  15. This principle is also related to the Probability-adjusted Suppes-Sen principle of Asheim and Zuber (2016), who study social evaluations in a space in which utility-conditional-on-existence is always certain. They construct rank-ordered allocations that are probability-weighted cumulative functions of utility based on individuals’ probabilities of existence and (sure) utility levels. Probability-adjusted Suppes-Sen implies that a higher rank-ordered allocation is always better: this happens when some probability has been moved towards higher utility levels.

  16. Notice that, in the RiskNeu axiom, utility is equal for all individuals and states of the world. We may want to strengthen the axiom by allowing individuals to have different (sure) utility levels conditional on existence. Such a property would not: be compatible with EEDE. Assuming that we are indifferent to risk on population given that individuals have sure utility levels conditional on existence and a given probability of existing would imply Property 1 in Appendix A.1: this is sufficient together with our basic axioms to characterize ECLGU without assuming Ind-I.

  17. More precisely, they explore a principle that denies it, which they call Preference for Catastrophe Avoidance. We note that they use Independence of the utilities of the dead, which is a version of Independence for the sure, but do not explicitly cite Independence for sure acts. Theirs is the first use of this axiom of which we are aware, although they cite a related principle by Keeney (1980) about risk aversion over quantity of deaths. Although Bommier and Zuber are motivated by the risk of human extinction, we note that this possibility would be represented by a positive population size in our framework (not zero), because some human lives have already been lived.

  18. In particular, it is satisfied by every social criterion that maximizes an expectation of a function of the form \(V(u) = \Xi _n(u)\) or \(V(u) = n \big (\Xi _n(u)-c\big )\), with \(\Xi \) a normalized function like in Proposition 1. This means that it is accepted by average and total versions of utilitarianism and EEDE (each with or without positive critical levels) as well as by maximin. RiskNeu is however rejected by “variable value” approaches to population ethics, which include Rank-Dependent Generalized Utilitarianism (Asheim and Zuber 2014) and Number-Dampened Generalized Utilitarianism (Ng 1989), but both of these are already excluded by Ind-a.

  19. Related principles in the recent literature are the Anteriority and Reduction to Prospects axioms of McCarthy et al. (2020). These axioms hold that risky social distributions can be ranked like individual prospects in specific cases (either when individuals face the same prospects in the two social distributions, or when social distributions are egalitarian and individuals have the same preferences). The Anteriority and Reduction to Prospects axioms are key to their proof that the social preorder is generated by the individual preorder. The main difference in terms of interpretation is that we do not have individual preorders but only a social ordering of individual prospects: that is social distributions where only one individual exists. We do not say anything about individual attitudes towards risk.

  20. See related arguments by McCarthy (2017). In McCarthy’s terminology, we permit, but do not require, claim (X): “It is a substantive ethical question what the relation is between the individual preorder and the one-person social preorder” (p. 247). If one agrees with McCarthy that—“(Y) It is a conceptual truth that the individual preorder and the one-person social preorder coincide”—then this flexibility is of no theoretical value.

  21. Indeed, we can write \(V(u)=\alpha g(\Xi _{n(u)}(u))+n(u)(1-\alpha )\big (g(\Xi _{n(u)}(u))-g(c)\big )\), where \(\Xi _{n(u)}(u)=g^{-1}\left( \tfrac{1}{n(u)}\sum _{i\in N(u)}g(u_i)\right) \). Hence, it is compatible with the form described in Proposition 3.

  22. Note that CCL-rf implies Minimal existence of a critical level, which is one of the basic axioms. So there is redundancy in the statement of the Theorem. We kept this statement for the sake of simplicity.

  23. We can add the utility of as many people as we want and we can vary their utility level above and below c.

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Acknowledgements

Zuber’s research has been supported by the Agence nationale de la recherche through the Investissements d’Avenir program (PGSE-ANR-17-EURE-01) and by the Riksbankens Jubileumsfond (the Swedish Foundation for Humanities and Social Sciences). Spears’ research is supported by Grant K01HD098313 and by P2CHD042849, Population Research Center, awarded to the Population Research Center at The University of Texas at Austin by the Eunice Kennedy Shriver National Institute of Child Health and Human Development; the content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. The authors’ collaborative research is supported by a Dr. Cécile DeWitt-Morette France-UT Endowed Excellence Grant.

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A Appendix: Proofs of the results

A Appendix: Proofs of the results

1.1 A.1 Proof of Theorem 1

Step 1: Proof that ECLGU satisfies all the properties. It can easily be checked that an ECLGU social welfare ordering satisfies the Basic Principles and NoLD.


Step 2: Proof that \(\succsim \) satisfies Property 1. We first show that, if social welfare ordering \(\succsim \) on P satisfies the Basic Principles and NoLD then it satisfies the following property:

Property 1:

For all p, \(p^{\prime }\in P\), if there exist three alternatives u, v, w in U such that \(N(u)\cap N(v)=\emptyset \), \(N(w)=\{k\}\) with \(k\notin N(v)\), and \(p(uv)=1/3\), \(p(w)=2/3\), \(p^{\prime }(u)=1/3\), \(p^{\prime }(vw)=1/3\) and \(p^{\prime }(w)=1/3\), then \(p\sim p^{\prime }\).

To prove that the property must be satisfied, consider p and \(p^{\prime }\in P\) like those described in Property 1 and assume by contradiction that \(p\succ p^{\prime }\). By Social expected-utility (and the definition of p and \(p^{\prime }\)), it must be the case that

$$\begin{aligned} \tfrac{1}{3}V(uv)+\tfrac{2}{3}V(w)>\tfrac{1}{3}V(u)+\tfrac{1}{3}V(vw)+\tfrac{1}{3}V(w), \end{aligned}$$

where V is the function in the statement of Social expected utility.

Let \(w^{\prime }\) be an alternative such that \(N(w^{\prime })=\{k^{\prime }\}\), with \(k^{\prime }\notin (N(v)\cup \{k\})\) and \(w_{k^{\prime }}^{\prime }>w_k\). By Strong Pareto and Anonymity, \(V(w^{\prime })>V(w)\). But we can find \(0<\varepsilon <1/3\) small enough so that:

$$\begin{aligned} \tfrac{1}{3}V(uv)+\tfrac{2}{3}V(w)-\tfrac{1}{3}V(uw)-\tfrac{1}{3}V(v)-\tfrac{1}{3}V(w)>\varepsilon \big (V(w^{\prime })-V(w)\big ). \end{aligned}$$
(A.1)

Let \({\hat{p}}\) be the lottery such that \({\hat{p}}(u)=1/3\), \({\hat{p}}(vw)=1/3\), \({\hat{p}}(w)=1/3-\varepsilon \) and \({\hat{p}}(w^{\prime })=\varepsilon \). By Eq. (A.1),

$$\begin{aligned} \tfrac{1}{3}V(uv)+\tfrac{2}{3}V(w)>\tfrac{1}{3}V(u)+\tfrac{1}{3}V(vw)+\left( \tfrac{1}{3}-\varepsilon \right) V(w)+\varepsilon V(w^{\prime }). \end{aligned}$$

By Social expected-utility, this implies that \(p\succ {\hat{p}}\). But, by NoLD we should have \(p\prec {\hat{p}}\). Indeed, in \({\hat{p}}\) we have increased the probability of existence of \(k^{\prime }\) and decreased by the same amount that of k, where \(k^{\prime }\) has higher utility than k, while maintaining the probability of existence of other people.

The contradiction shows that we cannot have \(p\succ p^{\prime }\). We can similarly prove that we cannot have \(p\prec p^{\prime }\) (now taking \(k^{\prime }\) with lower utility than k).


Step 3: Proof that \(\succsim \) satisfies Ind-a. Using Property 1, we can show that \(\succsim \) satisfies Ind-a.

To see why this is the case, consider any u, \(u^{\prime }\), and v, like described in the axiom Ind-a. Let w be any alternative such that \(N(w)=k\), with \(k\notin N(v)\). Let us denote p, \(p^{\prime }\), q, \(q^{\prime }\in P\) such that:

  • \(p(uv)=1/3\), \(p(w)=2/3\), \(p^{\prime }(u)=1/3\), \(p^{\prime }(vw)=1/3\) and \(p^{\prime }(w)=1/3\);

  • \(q(u^{\prime }v)=1/3\), \(q(w)=2/3\), \(q^{\prime }(u^{\prime })=1/3\), \(q^{\prime }(vw)=1/3\) and \(q^{\prime }(w)=1/3\).

By Property 1, we know that \(p\sim p^{\prime }\) and \(q\sim q^{\prime }\) so that \(p\succsim q\) if and only if \(p^{\prime }\succsim q^{\prime }\). By Social expected-utility, this means that:

$$\begin{aligned}&\tfrac{1}{3}V(uv)+\tfrac{2}{3}V(w)\ge \tfrac{1}{3}V(u^{\prime }v)+\tfrac{2}{3}V(w)\Longleftrightarrow \tfrac{1}{3}V(u)+\tfrac{1}{3}V(vw)+\tfrac{1}{3}V(w)\\&\quad \ge \tfrac{1}{3}V(u^{\prime })+\tfrac{1}{3}V(vw)+\tfrac{1}{3}V(w). \end{aligned}$$

The equivalence simplifies to \(V(uv)\ge V(u^{\prime }v)\Longleftrightarrow V(u)\ge V(u^{\prime })\). By Social expected-utility, this implies that \(uv\succsim u^{\prime }v\) if and only if \(u\succsim u^{\prime }\).


Step 4: Conclusion. \(\succsim \) is a social welfare ordering that satisfies the Basic Principles and Ind-a. By Proposition 2, we thus know that there exist two continuous and increasing functions \(\varphi :\mathbb {R}\rightarrow \mathbb {R}\) and \(g:\mathbb {R}\rightarrow \mathbb {R}\) such that \(\varphi (0)=g(0)=0\), and for all p, \(p^{\prime }\in P\):

$$\begin{aligned} p\succsim p^{\prime }& \Longleftrightarrow \sum _{u\in supp(p)}p(u)\times \varphi \left( \sum _{i\in N(u)}\big [g(u_i)-g(c)\big ]\right) \nonumber \\& \quad \ge \sum _{u\in supp(p^{\prime })}p^{\prime }(u)\times \varphi \left( \sum _{i\in N(u)}\big [g(u_i)-g(c)\big ]\right) . \end{aligned}$$
(A.2)

Consider the situation in Property 1, where there are three alternatives u, v, w in U such that \(N(u)\cap N(v)=\emptyset \), \(N(w)=\{k\}\) with \(k\notin N(v)\), and \(p(uv)=1/3\), \(p(w)=2/3\), \(p^{\prime }(u)=1/3\), \(p^{\prime }(vw)=1/3\) and \(p^{\prime }(w)=1/3\). Assume that \(w_k=c\), with c the critical-level parameter in Eq. (A.2).

Given that \(\succsim \) satisfies Property 1, we know that \(p\sim p^{\prime }\). Using the representation in Eq. (A.2), this implies:

$$\begin{aligned}&\tfrac{1}{3}\varphi \left( \sum _{i\in N(u)}\big [g(u_i)-g(c)\big ]+\sum _{j\in N(v)}\big [g(v_j)-g(c)\big ]\right) \\&\quad =\tfrac{1}{3}\varphi \left( \sum _{i\in N(u)}\big [g(u_i)-g(c)\big ]\right) +\tfrac{1}{3}\varphi \left( \sum _{j\in N(v)}\big [g(v_j)-g(c)\big ]\right) \end{aligned}$$

Denoting a the real number \(a=\sum _{i\in N(u)}\big [g(u_i)-g(c)\big ]\) and b the real number \(b=\sum _{j\in N(v)}\big [g(v_j)-g(c)\big ]\), we thus get the equality

$$\begin{aligned} \varphi (a+b)=\varphi (a)+\varphi (b). \end{aligned}$$

We can actually get this equality for any pair of real numbers \((a,b)\in \mathbb {R}^2\). Indeed, any real number can be reached as a sum of transformed utilities minus the transformed critical level.Footnote 23 We thus get the Cauchy functional equation \(\varphi (a+b)=\varphi (a)+\varphi (b)\) for all \((a,b)\in \mathbb {R}^2\). Given that \(\varphi \) is continuous, we know that there must exist a real number \(\alpha \) such that \(\varphi (a)=\alpha a\) for all \(a\in \mathbb {R}\) ( Aczél 1966, Chap. 2). Given that \(\varphi \) is increasing, we actually know that \(\alpha >0\).

So we can conclude that there exist a continuous and increasing function \(g:\mathbb {R}\rightarrow \mathbb {R}\) such that \(g(0)=0\), and a real number \(c\in \mathbb {R}\), such that, for all p, \(p^{\prime }\in P\):

$$\begin{aligned}&p\succsim p^{\prime }\Longleftrightarrow \sum _{u\in supp(p)}p(u)\times \left( \sum _{i\in N(u)}\big [g(u_i)-g(c)\big ]\right) \\&\quad \ge \sum _{u\in supp(p^{\prime })}p^{\prime }(u)\times \left( \sum _{i\in N(u)}\big [g(u_i)-g(c)\big ]\right) . \end{aligned}$$

The social welfare ordering \(\succsim \) is an ECLGU social welfare ordering.

1.2 A.2 Proof of Proposition 3

Given that \(\succsim \) on F satisfies the Basic Principles, by Proposition 1, there exist a function \(W:\mathbb {N}\times \mathbb {R}\rightarrow \mathbb {R}\) increasing and continuous in its second argument, and for each \(n\in \mathbb {N}\) a continuous, increasing, symmetric and normalized function \(\Xi _n\) such that, for all p, \(p^{\prime }\in P\):

$$\begin{aligned} p\succsim p^{\prime }\Longleftrightarrow \sum _{u\in supp(p)}p(u)\times W\Big (n(u),\Xi _{n(u)}(u)\Big )\ge \sum _{u\in supp(p^{\prime })}p^{\prime }(u)\times W\Big (n(u),\Xi _{n(u)}(u)\Big ).\end{aligned}$$
(A.3)

Consider any \(e\in \mathbb {R}\) and any \(m\in \mathbb {N}\). Let u, v, w in U be three alternatives such that \(n(u)=n(v)=1\), \(n(w)=m\), \(N(u)\cap N(v)=N(u)\cap N(w)=N(v)\cap N(w)=\emptyset \), and \(u_i=v_j=w_k=e\) for all \(i\in N(u)\), \(j\in N(v)\) and \(k\in N(w)\). By Social risk neutrality in population size for perfect equality, if p and \(p^{\prime }\in P\) are such that \(p(uvw)=1/2\), \(p(w)=1/2\), \(p^{\prime }(uw)=1/2\) and \(p^{\prime }(vw)=1/2\), then \(p\sim p^{\prime }\). By Eq. (A.3), this means that:

$$\begin{aligned} \tfrac{1}{2}W(m+2,e)+\tfrac{1}{2}W(m,e)=\tfrac{1}{2}W(m+1,e)+\tfrac{1}{2}W(m+1,e). \end{aligned}$$

Let us denote \(\theta _e:\mathbb {N}\rightarrow \mathbb {R}\) the function such that \(\theta _e(n)=W(n,e)\). The equality implies that for all \(m\in \mathbb {N}\),

$$\begin{aligned} \theta _e(m+2)=2\theta _e(m+1)-\theta _e(m). \end{aligned}$$

Let us prove that \(\theta _e(n)=\Phi _e+n\Psi _e\), for all \(n\in \mathbb {N}\), where \(\Phi _e=2\theta _e(1)-\theta _e(2)\) and \(\Psi _e=\theta _e(2)-\theta _e(1)\). For \(n=1\) and \(n=2\), this is obviously true. Assume that for some \(m\in \mathbb {N}\), \(\theta _e(m)=\Phi _e+m\Psi _e\) and \(\theta _e(m+1)=\Phi _e+(m+1)\Psi _e\): let us show that it is also the case for \(m+2\). By the equality above, we obtain

$$\begin{aligned} \theta _e(m+2) & = 2\theta _e(m+1)-\theta _e(m)=2\big (\Phi _e+(m+1)\Psi _e\big )-\big (\Phi _e+m\Psi _e\big )\\ & = \Phi _e+\big [2(m+1)-m\big ]\Psi _e=\Phi _e+(m+2)\Psi _e.\end{aligned}$$

Hence, for any \(e\in \mathbb {R}\) and any \(n\in \mathbb {N}\), we have that:

$$\begin{aligned} W(n,e)=\big [2W(e,1)-W(e,2)\big ]+n\big [W(e,2)-W(e,1)\big ]. \end{aligned}$$

Denoting \(\Phi :\mathbb {R}\rightarrow \mathbb {R}\) the continuous function such that \(\Phi (e)=2W(e,1)-W(e,2)\) for all \(e\in \mathbb {R}\), and \(\Psi :\mathbb {R}\rightarrow \mathbb {R}\) the continuous function such that \(\Psi (e)=W(e,2)-W(e,1)\) for all \(e\in \mathbb {R}\), we obtain the result.

1.3 A.3 Proof of Theorem 2

Step 1: Proof that ECLGU satisfies all the properties. It can easily be checked that an ECLGU social welfare ordering satisfies the Basic Principles, Ind-l, and Social risk neutrality in population size for perfect equality.


Step 2: function V can only be specific transformations of an additively separable social welfare function. Given that \(\succsim \) on P satisfies the Basic Principles and Ind-l (and therefore Ind-a), we know by Proposition 2 that there exist two continuous and increasing functions \(\varphi :\mathbb {R}\rightarrow \mathbb {R}\) and \(g:\mathbb {R}\rightarrow \mathbb {R}\) such that \(\varphi (0)=g(0)=0\), and for all p, \(p^{\prime }\in P\):

$$\begin{aligned} p\succsim p^{\prime } &\Longleftrightarrow \sum _{u\in supp(p)}p(u)\times \varphi \left( \sum _{i\in N(u)}\big [g(u_i)-g(c)\big ]\right) \nonumber \\&\quad \ge \sum _{u\in supp(p^{\prime })}p^{\prime }(u)\times \varphi \left( \sum _{i\in N(u)}\big [g(u_i)-g(c)\big ]\right) .\end{aligned}$$
(A.4)

Consider p, \(p^{\prime }\), q, \(q^{\prime }\in P\), such that there exist distinct alternatives u, v, \(v^{\prime }\), w, and \(w^{\prime }\) in U for which:

  • \(N(u)\cap N(v)=N(u)\cap N(v^{\prime })=N(u)\cap N(w)=N(u)\cap N(w^{\prime })=\emptyset \);

  • \(p(uv)=p(uv^{\prime })=q(uw)=q(uw^{\prime })=p^{\prime }(v)=p^{\prime }(v^{\prime })=q^{\prime }(w)=q^{\prime }(w^{\prime })=1/2\).

By Ind-l, and using Eq. (A.4), we obtain that:

$$\begin{aligned}&\tfrac{1}{2}\varphi \left( \sum _{i\in N(u)}\big [g(u_i)-g(c)\big ]+\sum _{i\in N(v)}\big [g(v_i)-g(c)\big ]\right) +\tfrac{1}{2}\varphi \left( \sum _{i\in N(u)}\big [g(u_i)-g(c)\big ]+\sum _{i\in N(v^{\prime })}\big [g(v^{\prime }_i)-g(c)\big ]\right) \\&\quad \ge \tfrac{1}{2}\varphi \left( \sum _{i\in N(u)}\big [g(u_i)-g(c)\big ]+\sum _{i\in N(w)}\big [g(w_i)-g(c)\big ]\right) +\tfrac{1}{2}\varphi \left( \sum _{i\in N(u)}\big [g(u_i)-g(c)\big ]+\sum _{i\in N(w^{\prime })}\big [g(w^{\prime }_i)-g(c)\big ]\right) \\&\quad \Longleftrightarrow \tfrac{1}{2}\varphi \left( \sum _{i\in N(v)}\big [g(v_i)-g(c)\big ]\right) +\tfrac{1}{2}\varphi \left( \sum _{i\in N(v^{\prime })}\big [g(v^{\prime }_i)-g(c)\big ]\right) \\&\quad \ge \tfrac{1}{2}\varphi \left( \sum _{i\in N(w)}\big [g(w_i)-g(c)\big ]\right) +\tfrac{1}{2}\varphi \left( \sum _{i\in N(w^{\prime })}\big [g(w^{\prime }_i)-g(c)\big ]\right) \end{aligned}$$

Denote \(a=\sum _{i\in N(u)}\big [g(u_i)-g(c)\big ]\), \(x=\sum _{i\in N(v)}\big [g(v_i)-g(c)\big ]\), \(x^{\prime }=\sum _{i\in N(v^{\prime })}\big [g(v^{\prime }_i)-g(c)\big ]\), \(y=\sum _{i\in N(w)}\big [g(w_i)-g(c)\big ]\) and \(y^{\prime }=\sum _{i\in N(w^{\prime })}\big [g(w^{\prime }_i)-g(c)\big ]\). We get that, for any real numbers a, x, \(x^{\prime }\), x and \(y^{\prime }\):

$$\begin{aligned} \varphi (a+x)+\varphi (a+x^{\prime })\ge \varphi (a+y)+\varphi (a+y^{\prime })\Longleftrightarrow \varphi (x)+\varphi (x^{\prime })\ge \varphi (y)+\varphi (y^{\prime }). \end{aligned}$$

Let \(I=\varphi (\mathbb {R})\), which is an open interval in \(\mathbb {R}\) because \(\varphi \) is continuous and increasing. First fix a and denote \(\psi _a:I\rightarrow \mathbb {R}\) the continuous function such that \(\psi _a(x)=\varphi \big (a+\varphi ^{-1}(x)\big )\). By letting \(z=\varphi (x)\), \(z^{\prime }=\varphi (x^{\prime })\), \(t=\varphi (y)\) and \(t^{\prime }=\varphi (y^{\prime })\), the above equivalence can be written:

$$\begin{aligned} \psi _a(z)+\psi _a(z^{\prime })\ge \psi _a(t)+\psi _a(t^{\prime })\Longleftrightarrow z+z^{\prime }\ge t+t^{\prime }, \end{aligned}$$

and it holds for all z, \(z^{\prime }\), t and \(t^{\prime }\) in I. So, there must exist an increasing function \(\Psi _a:\mathbb {R}\rightarrow \mathbb {R}\) such that, for all z, \(z^{\prime }\in I\): \(\psi _a(z)+\psi _a(z^{\prime })=\Psi _a(z+z^{\prime })\). This is a Pexider functional equation, and it is known that in that case \(\Psi _a\) and \(\psi _a\) must be affine (Aczél 1966). Hence there exist \(\alpha _a\in \mathbb {R}_{++}\) and \(\beta _a\in \mathbb {R}\) such that \(\psi _a(z)=\alpha _az+\beta _a\).

Define the functions \(\alpha :\mathbb {R}\rightarrow \mathbb {R}_{++}\) and \(\beta :\mathbb {R}\rightarrow \mathbb {R}\) by \(\alpha (a)=\alpha _a\) and \(\beta (a)=\beta _a\) for all \(a\in \mathbb {R}\). By definition of function \(\psi _a\), we obtain that, for all \(x\in \mathbb {R}\), \(\psi _a(\varphi (x))=\varphi \big (a+\varphi ^{-1}\circ \varphi (x)\big )=\varphi (a+x)\). But by our result above, it is also the case that \(\psi _a(\varphi (x))=\alpha (a)\varphi (x)+\beta (a)\). We thus end up with the functional equation: \(\varphi (a+x)=\alpha (a)\varphi (x)+\beta (a)\) for all \((a,x)\in \mathbb {R}^2\). By Corollary 1 (pp. 150–151) in Aczél (1966), this equation implies that either \(\varphi \) is affine or that it is a positive affine transformation of the function \(x\rightarrow \alpha e^{\alpha x}\) for some \(\alpha \ne 0\).


Step 3: Conclusion. By Step 2, we know that

$$\begin{aligned} V(u)=\varphi \left( \sum _{i\in N(u)}\big [g(u_i)-g(c)\big ]\right) , \end{aligned}$$

where V is the function in the statement of Social expected utility, and \(\varphi \) is affine or that it is a positive affine transformation of the function \(x\rightarrow \alpha e^{\alpha x}\) for some \(\alpha \ne 0\).

Also given that \(\succsim \) satisfies RiskNeu, we know by Proposition 3 that there exist a positive number a, a number b, two continuous functions \(\Psi :\mathbb {R}\rightarrow \mathbb {R}\) and \(\Phi :\mathbb {R}\rightarrow \mathbb {R}\), and for each \(n\in \mathbb {N}\) a continuous, increasing, symmetric and normalized function \(\Xi _n\) such that, for u such that \(n(u)>0\):

$$\begin{aligned} V(u)=a \Big [\Phi \left( \Xi _{n(u)}(u)\right) +n(u)\times \Psi \left( \Xi _{n(u)}(u)\right) \Big ]+b. \end{aligned}$$

By contradiction, suppose that \(\varphi \) is a positive affine transformation of the function \(x\rightarrow \alpha e^{\alpha x}\) for some \(\alpha \ne 0\). Consider any \(n\in \mathbb {N}\) and \(x\in \mathbb {R}\), and let u be such that \(n(u)=n\) and \(u_i=x\) for all \(i\in N(u)\). We must have:

$$\begin{aligned} \alpha e^{\alpha n(g(x)-g(c))}=a \Big [\Phi \left( x\right) +n\times \Psi \left( x\right) \Big ]+b. \end{aligned}$$

If \(x\ne c\), then the left-hand side is an exponential function in n, whereas the right-hand side is an affine function in n. But this cannot be true. Hence only the affine form is possible for \(\varphi \).

1.4 A.4 Proof of Proposition 4

Consider any \(N\in {\mathcal {N}}\) and let \(n=\vert N\vert \). For any \(i\in N\) let \(\succsim _i\) be the ordering on \(P_N\) such that, for any p, \(p^{\prime }\in P_N\), \(p\succsim _i p^{\prime }\) if and only if \(p_i\succsim p^{\prime }_i\). By Social expected-utility, defining \(W_i(p)=\sum _{u\in U_i}p_i(u)V(u)\), we have that \(p\succsim _i p^{\prime }\) if and only if \(W_i(p)\ge W_i(p^{\prime })\). Similarly, defining \(W_0(p)=\sum _{u\in U_N}p(u)V(u)\), we have that \(p\succsim p^{\prime }\) if and only if \(W(p)\ge W(p^{\prime })\).

Consider \(F=(W_0,(W_i)_{i\in N}):P_N\rightarrow \mathbb {R}^{n+1}\). By definition \(F(P_N)\) is convex because \(W_i(\kappa p+(1-\kappa )q)=\kappa W_i(p)+(1-\kappa ) W_i(q)\) for each \(i\in N\) or \(i=0\). IDom implies that, if \(W_i(p)>W_i(q)\) for all \(i\in N\), then \(W_0(p)> W_0(q)\). By Proposition 2 in De Meyer and Mongin (1995), there must exist non-negative numbers \(\lambda _i\) and a number \(\gamma \) such that, for each \(p\in P_N\):

$$\begin{aligned} W_0(p)=\sum _{i\in N}\lambda _i W_i(p)+\gamma . \end{aligned}$$

Focusing on lotteries yielding sure outcomes, we get that, for all u, \(v\in U_N\),

$$\begin{aligned} u\succsim v\Longleftrightarrow \sum _{i\in N}\lambda _i V(u_i)\ge \sum _{i\in N}\lambda _i V(v_i). \end{aligned}$$

By Anonymity and Strong Pareto, it must be the case that all the \(\lambda _i\) must be the same positive number \(\lambda \). Denoting g the function such that \(g(u_i)=V(u_i)\) for each \(u_i\in \mathbb {R}\), we obtain that for all p, \(q\in P_N\),

$$\begin{aligned} p\succsim q\Longleftrightarrow \sum _{u\in U_N}p(u)\left[ \sum _{i\in N}g(u_i)\right] \ge \sum _{u\in U_N}p(u)\left[ \sum _{i\in N}g(u_i)\right] . \end{aligned}$$

Observe that, by definition and Anonymity, the function g does not depend neither on i nor on N.

By Social expected-utility, and given that a VNM utility function is defined up to an increasing affine transformation, it must be the case that, for each \(N\in {\mathcal {N}}\), for each \(u\in U_N\):

$$\begin{aligned} V(u)=F(N)\left[ \sum _{i\in N}g(u_i)\right] +G(N), \end{aligned}$$

for some positive F(N) and some number G(N). By Anonymity, F(N) and G(N) only depend on population size.

1.5 A.5 Proof of Theorem 3

Step 1: Proof that ECLGU satisfies all the properties. It can easily be checked that an ECLGU social welfare ordering satisfies the Basic Principles, IDom, IndPUnc and CCL-rf.


Step 2: Proof that \(\succsim \) has a constant critical level. We show that if \(\succsim \) satisfies the Basic Principles and IndPUnc, then it satisfies CCL-rf.

By Minimal existence of a critical level, there exist \(u\in U\), \(c\in \mathbb {R}\), and \(i\notin N(u)\), such that if \(v\in U\) is defined by \(N(v)=N(u)\cup \{i\}\), \(v_i=c\) and \(v_j=u_j\) for all \(j\in N(u)\), then \(v\sim u\). Let \(\varepsilon \) be some positive number. Define \({\tilde{v}}\in U\) by \(N({\tilde{v}})=N(v)\), \({\tilde{v}}_i=c+\varepsilon \) and \({\tilde{v}}_j=u_j\) for all \(j\in N(u)\). By Strong Pareto, we must have \({\tilde{v}}\succ v \sim u\), which by Social expected-utility implies that \(V({\tilde{v}})>V(u)\).

Consider any \(u^{\prime }\in U\) and any \(k\notin N(u^{\prime })\), and define \({\tilde{v}}^{\prime }\in U\) such that \(N({\tilde{v}}^{\prime })=N(u^{\prime })\cup \{k\}\), \({\tilde{v}}^{\prime }_k=c+\varepsilon \) and \({\tilde{v}}^{\prime }_l={\tilde{u}}_l\) for all \(l\in N(u^{\prime })\). Let p, \(p^{\prime }\in P\) such that \(p(u^{\prime })=p^{\prime }({\tilde{v}}^{\prime })=q\) and \(p(u)=p^{\prime }({\tilde{v}})=1-q\), with \(q\in (0,1)\). IndPUnc requires that, if \(p^{\prime }\succ p\) for some q, this should be true whatever q is. But \(p^{\prime }\succ p\) means that:

$$\begin{aligned} q V({\tilde{v}}^{\prime })+ (1-q) V({\tilde{v}})>q V(u^{\prime })+ (1-q) V(u) \end{aligned}$$

which can be written

$$\begin{aligned} V({\tilde{v}})-V(u)>\tfrac{q}{1-q}\Big [V(u^{\prime })-V({\tilde{v}}^{\prime })\Big ]. \end{aligned}$$

Given that \(V({\tilde{v}})>V(u)\), this must be true, whatever the values \(V({\tilde{v}}^{\prime })\) and \(V(u^{\prime })\), for small enough value of q.

Thus, whatever q is, we have:

$$\begin{aligned} q V({\tilde{v}}^{\prime })+ (1-q) V({\tilde{v}})>q V(u^{\prime })+ (1-q) V(u) \end{aligned}$$

which can be written

$$\begin{aligned} V({\tilde{v}}^{\prime })-V(u^{\prime })>\tfrac{1-q}{q}\Big [V({\tilde{v}})-V(u)\Big ]. \end{aligned}$$

Given that \(\tfrac{1-q}{q}\) can be as low as we want, we need to have \(V({\tilde{v}}^{\prime })-V(u^{\prime })\ge 0\), and therefore \({\tilde{v}}^{\prime }\succsim u^{\prime }\).

So for every \(\varepsilon >0\), \({\tilde{v}}^{\prime }\succsim u^{\prime }\), where \({\tilde{v}}^{\prime }\in U\) is such that \(N({\tilde{v}}^{\prime })=N(u^{\prime })\cup \{k\}\), \({\tilde{v}}^{\prime }_k=c+\varepsilon \) and \({\tilde{v}}^{\prime }_l={\tilde{u}}_l\) for all \(l\in N(u^{\prime })\). By continuity, if \(v^{\prime }\in U\) such that \(N(v^{\prime })=N(u^{\prime })\cup \{k\}\), \(v^{\prime }_k=c\) and \(v^{\prime }_l=u^{\prime }_l\) for all \(l\in N({\tilde{u}})\), then \(v^{\prime }\succsim u^{\prime }\).

We can prove that \(u^{\prime }\succsim v^{\prime }\) in the same way by using a negative \(\varepsilon <0\). Hence, \(u^{\prime }\sim v^{\prime }\).

In conclusion, there exists \(c\in \mathbb {R}\), such that for all \(u^{\prime }\in U\) and for all \(k\notin N(u^{\prime })\), if \(v^{\prime }\in U\) is such that \(N(v^{\prime })=N(u^{\prime })\cup \{k\}\), \(v^{\prime }_k=c\) and \(v^{\prime }_l=u^{\prime }_l\) for all \(l\in N(u)\), then \(u^{\prime }\sim v^{\prime }\). The social ordering \(\succsim \) satisfies CCL-rf.


Step 3: Conclusion. Given that \(\succsim \) satisfies the Basic Principles and IDom, we know by Proposition 4 that it is an ENWGU social ordering. Then there exist a continuous and increasing function \(g:\mathbb {R}\rightarrow \mathbb {R}\), and two functions \(F:\mathbb {N}\rightarrow \mathbb {R}\) and \(G:\mathbb {N}\rightarrow \mathbb {R}\) such that for any \(u\in U\) the VNM social utility function is

$$\begin{aligned} V(u)=F\big (n(u)\big )\sum _{i\in N(u)}g(u_i)+G\big (n(u)\big ). \end{aligned}$$

By Step 3, we also know that \(\succsim \) satisfies CCL-rf. Hence, there exists a \(c\in \mathbb {R}\) such that, for any \(n\in \mathbb {N}\) and any \(x\in \mathbb {R}\), if \(u, v\in U\) are such that \(n(u)=n\), \(N(v)=N(u)\cup \{i\}\) (with \(i\notin N(u)\)), \(u_j=v_j=x\) for all \(j\in N(u)\) and \(v_i=c\), then \(V(u)=V(v)\), so that:

$$\begin{aligned} F(n)n g(x)+G(n)=F(n+1)\big [n g(x)+g(c)\big ]+G(n+1). \end{aligned}$$

Given that g is increasing in x and that this equality must be true for all \(x\in \mathbb {R}\), we must have \(F(n+1)=F(n)\). Hence, we also obtain by the equality that \(G(n+1)-G(n)=-g(c)\). Hence, by iterating on n (given that these results are true for all \(n\in \mathbb {N}\)), we have \(F(n)=F(0)=a\) and \(G(n)=G(0)-ng(c)=b-ng(c)\), where \(a>0\) and b is a real number. Hence,

$$\begin{aligned} V(u)=a\sum _{i\in N(u)}\big [g(u_i)-g(c)\big ]+b. \end{aligned}$$

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Spears, D., Zuber, S. Foundations of utilitarianism under risk and variable population. Soc Choice Welf 61, 101–129 (2023). https://doi.org/10.1007/s00355-022-01440-4

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