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Information disclosure in elections with sequential costly participation

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Abstract

Using a pivotal costly voting model of elections in which voters privately have formed preferences over two candidates and act sequentially, I study how different rules for disclosing information about the actions of early voters affect the actions of later voters, and how they ultimately affect voters’ and candidates’ welfare. Comparing three rules observed in real-life elections (no information disclosure, turnout disclosure and vote count disclosure), I find that vote count disclosure dominates the other two rules in terms of both voter welfare and the ex-ante likelihood of electing the candidate preferred by the majority. I show further that each of the rules can provide a candidate with either a greater or lesser chance of winning, depending on the levels of ex-ante support for the candidates. The findings may be useful for designing optimal voting procedures, particularly in settings with small numbers of voters.

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Notes

  1. See, for example, “Comparative Study of Laws and Regulations Restricting the Publication of Electoral Opinion Polls” (https://www.article19.org/data/files/pdfs/publications/opinion-polls-paper.pdf, retrieved on 15.06.2021) and a report by Frankovic et al. (2018) for reviews of exit poll legislation in different countries and controversial cases of election day publication of the results of exit polling.

  2. In common value models, voters share the same preferences but may have different beliefs about which candidate is the best in terms of unobservable relevant features such as competence or “valence”. If all features of the candidates were known to everyone, voters would agree on a specific candidate.

  3. The other features are: arbitrarily chosen default decision, interpretation of abstention as a vote for the default option, and termination of voting when one candidate has received a certain number of votes.

  4. see Lott (2005) on the 2000 US presidential election.

  5. In the model, the distribution of support for the candidates is unknown precisely ex-ante. Therefore, I calculate the ex-ante probability of electing the majority-preferred candidate conditional on possible realizations of support. See Sect. 3.4 and Sect. 4.2 for details.

  6. An alternative approach sometimes adopted in the costly pivotal voting literature (see, for example, Taylor and Yildirim 2010b; Arzumanyan and Polborn 2017) is to assume that the voting cost is the same for every voter and to allow for a mixed strategy equilibrium, in which voters mix between voting and abstaining with type-specific probabilities. While being marginally less intuitive, such an approach reduces the dimensionality of the problem and allows the researcher to avoid making any assumption on the distribution of voting costs. However, in the model presented herein, the reduction in the problem’s difficulty from assuming homogeneous voting costs would not be sufficient to permit deriving additional results. Therefore, I assume heterogenous voting costs, to be consistent with the majority of the relevant literature.

  7. The concept of type-symmetric equilibrium that I adopt does not eliminate equilibria in which early and late supporters of the same candidate vote differently because they are not of the same “type”,al though they have the same preferences and information. To avoid that possibility, I impose an additional assumption of symmetry in the case of no information disclosure, requiring voters with the same preferences to adopt the same equilibrium participation strategy regardless of whether they vote in \(t=1\) or \(t=2\).

  8. Note that candidate A and candidate B differ only in the ex-ante probabilities that a voter is a supporter. Since the probabilities must add up to 1, any formula relevant for candidate B or her supporters can be obtained by substituting \(1-\alpha\) for \(\alpha\) in the corresponding formula for candidate A. For example, the expression above for equilibrium participation \(p^1_B\) can be derived by such a substitution from the expression for \(p^1_A\).

  9. Note that, for \(\alpha \in [\frac{1}{2}, \frac{2}{3}]\), \(p^1_A=\frac{3}{2}(1-\alpha )\) and \(p_B^1=\frac{3}{2}\alpha\), both values are within the [0,1] interval, whereas for \(\alpha \in (\frac{2}{3}, 1]\), the participation probability of B-supporters is bound: \(p^1_B=1\).

  10. Since the game is one of incomplete information, I use the concept of perfect Bayesian equilibrium for the solution. The concept requires specification of what the second-period voter should think about the first period score after observing turnout, which is a non-trivial task only when the turnout is 1. Given the strategies of the first-period voter, the second-period voter, regardless of his/her preferred candidate, should think that candidate A leads 1-0 with probability \(\gamma\), which is derived using Bayes’ rule. When \(\alpha =1\), i.e., when both voters support A with certainty, the first-period voter should never vote. Therefore, observing turnout 1 after the first round is off the equilibrium path and, hence, the concept of perfect Bayesian equilibrium requires the beliefs to be arbitrary in that case. Nevertheless, the only reasonable belief is \(\gamma =1\), since if the first-period voter votes, he or she can only be an A supporter.

  11. One may think here of an extreme case of \(\alpha =1\), when candidate A wins with certainty under full disclosure because the first-period voter always abstains and the second-period voter, who necessarily is an A-supporter, always votes. However, under no disclosure, both voters will vote with probabilities of less than 1 and, hence, both of them may abstain and A will lose the coin flip.

  12. As in the two-voter model analyzed in the previous section, d may take off-equilibrium path values and, hence, \(\omega (i|d)\) has to be defined differently than Bayes’ rule would. Since those off-equilibrium cases would not affect equilibrium voter welfare or equilibrium candidates’ winning probabilities, I do not explicitly specify the beliefs in such situations.

  13. Technically, formulas (28)–(31) can be obtained from the corresponding formulas (22)–(25) by replacing \(p^t_T(l+m)\) with \(p^t_T(l-m)\). That is because the only difference in the expressions for a first-period voter’s expected benefit from voting under partial and full information regimes is in the information available to second-period voters. Under partial information, it is the total number of A-supporters (l) and B-supporters (m) who cast votes, i.e., \(l+m\), while under full information, it is both l and m (however, what matters for a second-period voter is not the numbers but their difference, \(l-m\)).

  14. The existence of equilibrium under simultaneous voting, which is equivalent to a no disclosure regime, is illustrated in a similar way in Krasa and Polborn (2009).

  15. Indeed, if \({\underline{c}}\) is sufficiently large, full abstention can be the only equilibrium. For the numerical solutions, I let \({\underline{c}}\) be zero to avoid such trivial cases.

  16. As discussed in the analysis of the two-voter model, \(\alpha ^*\) never reaches 1, since at \(\alpha =1\) the characteristics of the equilibrium, including A’s probability of winning, under partial disclosure must be equivalent to those under full disclosure.

  17. However, the differences in voter welfare are not as negligible as they may seem from the graphs even for relatively large numbers of voters, since voter welfare is presented in terms of expected per voter utility.

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Acknowledgements

Funding: this research was supported by the Grant Agency of the Czech Republic; Grant 19-18741Y.

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Appendix

Appendix

1.1 A. Candidate welfare

Candidate A wins when (1) both voters are A-supporters except in the case when none of them votes and the coin flip favors B; (2) both voters are B-supporters, neither of them votes and the coin flip favors A; (3) one voter supports A, one voter supports B, and only the A-supporter votes; (4) one voter supports A, one voter supports B, either both or neither of them votes, and the coin flip favors A.

No disclosure:

$$\begin{aligned} P(W_A)^N= & {} \alpha ^2\left( 1-\frac{1}{2}\left( 1-p_A^1\right) \left( 1-p_A^2\right) \right) + \frac{1}{2}\left( 1-\alpha \right) ^2\left( 1-p_B^1\right) \left( 1-p_B^2\right) + \nonumber \\&+ \alpha (1-\alpha )\left( p_A^1(1-p_B^2)+(1-p_B^1)p_A^2)\right) + \nonumber \\&+ \frac{1}{2}\alpha (1-\alpha )\left( \left( 1-p_A^1\right) \left( 1-p_B^2\right) + \left( 1-p_B^1\right) \left( 1-p_A^2\right) + p_A^1p_B^2+p_B^1p_A^2 \right) , \end{aligned}$$
(A.1)

where \(p_T^t\), \(T\in \{A,B\}\), \(t\in \{1,2\}\), are the equilibrium participation probabilities (2). Simplifying the expression yields:

$$\begin{aligned} P(W_A)^N=\frac{1}{2}+\frac{3}{2}\frac{2\alpha -1}{(2-\alpha )^2(1+\alpha )^2}. \end{aligned}$$
(A.2)

Partial disclosure:

$$\begin{aligned} P(W_A)^P= & {} \alpha ^2\left( 1-\frac{1}{2}\left( 1-p_A^1\right) \left( 1-p_A^2(0)\right) \right) + \frac{1}{2}\left( 1-\alpha \right) ^2\left( 1-p_B^1\right) \left( 1-p_B^2(0)\right) + \nonumber \\&+ \alpha (1-\alpha )\left( p_A^1(1-p_B^2(1))+(1-p_B^1)p_A^2(0))\right) + \nonumber \\&+ \frac{1}{2}\alpha (1-\alpha )\left( \left( 1-p_A^1\right) \left( 1-p_B^2(0)\right) + \left( 1-p_B^1\right) \left( 1-p_A^2(0)\right) + p_A^1p_B^2(1)+p_B^1p_A^2(1)\right) . \end{aligned}$$
(A.3)

Plugging in the equilibrium strategies (6) yields:

$$\begin{aligned} P(W_A)^P=\alpha +\frac{1}{2}\alpha (1-\alpha )\left( (2-\gamma )p_A^1-(1+\gamma )p_B^1 \right) , \end{aligned}$$
(A.4)

where \(\gamma\) is given by formula (7), and \(p_A^1\) and \(p_B^1\) are the equilibrium strategies (5).

Full disclosure:

$$\begin{aligned} P(W_A)^F= & {} \alpha ^2\left( 1-\frac{1}{2}\left( 1-p_A^1\right) \left( 1-p_A^2(0)\right) \right) + \frac{1}{2}\left( 1-\alpha \right) ^2\left( 1-p_B^1\right) \left( 1-p_B^2(0)\right) + \nonumber \\&+ \alpha (1-\alpha )\left( p_A^1(1-p_B^2(+))+(1-p_B^1)p_A^2(0))\right) + \nonumber \\&+ \frac{1}{2}\alpha (1-\alpha )\left( \left( 1-p_A^1\right) \left( 1-p_B^2(0)\right) + \left( 1-p_B^1\right) \left( 1-p_A^2(0)\right) + p_A^1p_B^2(+)+p_B^1p_A^2(-) \right) . \end{aligned}$$
(A.5)

Re-arranging terms:

$$\begin{aligned} P(W_A)^F=\alpha ^2 + \alpha (1-\alpha )(1-p_B^1) + \frac{1}{2}\alpha (1-\alpha )(p_A^1p_B^2(+)+p_B^1p_A^2(-)). \end{aligned}$$
(A.6)

Plugging in the equilibrium participation probabilities (8) yields:

$$\begin{aligned} P(W_A)^F = \frac{1}{2}\alpha \left( 1+\alpha +2(1-\alpha )^2\right) . \end{aligned}$$
(A.7)

1.2 B. Effect of \(\alpha\) on candidate welfare

Consider candidate welfare under an N-regime as a function of \(\alpha\) and participation probabilities, given by formula (A.1). Differentiating formula (A.1) with respect to \(\alpha\), plugging in the equilibrium values for \(p_A^1\), \(p_A^2\), \(p_B^1\) and \(p_B^2\) given by formulas (2), and evaluating the resulting expression at \(\alpha =\frac{1}{2}\), one may obtain the “support” effect:

$$\begin{aligned} \left. \frac{\partial P(W_A)^N}{\partial \alpha }\right| _{p_A=\frac{1}{1+\alpha }, p_B=\frac{1}{2-\alpha }, \alpha =\frac{1}{2}} = \frac{8}{9}. \end{aligned}$$
(A.8)

Plugging the equilibrium values for \(p_A^1\), \(p_A^2\), \(p_B^1\) and \(p_B^2\) into expression (A.1) first (the result is given by expression (A.2)), then differentiating it with respect to \(\alpha\), and then evaluating the resulting expression at \(\alpha =\frac{1}{2}\), one may obtain the total effect, which is the “support” effect plus the “participation” effect:

$$\begin{aligned} \left. \frac{\partial P(W_A)^N}{\partial \alpha }\right| _{\alpha =\frac{1}{2}} = \left. \frac{\partial \left( \frac{1}{2}+\frac{3}{2}\frac{2\alpha -1}{(2-\alpha )^2(1+\alpha )^2}\right) }{\partial \alpha }\right| _{\alpha =\frac{1}{2}} = \frac{16}{27}. \end{aligned}$$
(A.9)

The difference between expressions (A.9) and (A.8) is the “participation” effect: \(\frac{16}{27}-\frac{8}{9}=-\frac{8}{27}.\)

To evaluate the effect of \(\alpha\) on candidate welfare under a P-regime at \(\alpha =0.5\), one may plug \(\gamma =0.5\) into expression (A.4) to obtain

$$\begin{aligned} P(W_A)^P=\alpha + \frac{3}{4}\alpha \left( 1-\alpha \right) \left( p_A^1-p_B^1\right) . \end{aligned}$$
(A.10)

Differentiating the expression above with respect to \(\alpha\), entering the equilibrium values for \(p_A^1\) and \(p_B^1\) given by formulas (5), and evaluating the resulting expression at \(\alpha =\frac{1}{2}\), one may obtain the “support” effect:

$$\begin{aligned} \left. \frac{\partial P(W_A)^P}{\partial \alpha }\right| _{p_A^1=\frac{3}{2}(1-\alpha ), p_B^1=\frac{3}{2}\alpha , \alpha =\frac{1}{2}} = 1. \end{aligned}$$
(A.11)

Plugging the equilibrium values for \(p_A^1\) and \(p_B^2\) into expression (A.10) first, differentiating it with respect to \(\alpha\), and then evaluating the resulting expression at \(\alpha =\frac{1}{2}\), one may obtain the total effect, which is the sum of the “support” effect and the “participation” effect:

$$\begin{aligned} \left. \frac{\partial P(W_A)^P}{\partial \alpha }\right| _{\alpha =\frac{1}{2}} = \left. \frac{\partial \left( \alpha +\frac{9}{8}\alpha (1-\alpha )(1-2\alpha ) \right) }{\partial \alpha }\right| _{\alpha =\frac{1}{2}} = \frac{7}{16}. \end{aligned}$$
(A.12)

The difference between expressions (A.12) and (A.11) is the “participation” effect: \(\frac{7}{16}-1=-\frac{9}{16}.\)

1.3 C. Voter welfare

If a voter abstains, his/her preferred candidate wins when: (1) the other voter supports the same candidate and votes; (2) the other voter abstains and the coin flip favors the preferred candidate. If a voter participates, his/her candidate always wins except when the other voter supports the opposing candidate, votes, and the coin flip favors the opposing candidate. Therefore, under no information:

$$\begin{aligned} v_A^1= & {} v_A^2=\alpha p_A+\frac{1}{2}\left( \alpha (1-p_A)+(1-\alpha )(1-p_B)\right) . \end{aligned}$$
(A.13)
$$\begin{aligned} u_A^1= & {} u_A^2=1-\frac{1}{2}\left( 1-\alpha \right) p_B. \end{aligned}$$
(A.14)

Substituting those expressions into formula (13), plugging in equilibrium values for \(p_A\) and \(p_B\), and re-arranging the terms, one may obtain:

$$\begin{aligned} E[W_A^1]=E[W_A^2]=\frac{1}{4}\left( 1 + \frac{\alpha ^2}{(1+\alpha )^2} + \frac{2}{2-\alpha }\right) . \end{aligned}$$
(A.15)

The expression for \(E[W_B]\) can be obtained by substituting (\(1-\alpha\)) for \(\alpha\) in the just-stated formula:

$$\begin{aligned} E[W_B^1]=E[W_B^2]=\frac{1}{4}\left( 1 + \left( \frac{1-\alpha }{2-\alpha }\right) ^2 + \frac{2}{1+\alpha }\right) . \end{aligned}$$
(A.16)

Under partial information disclosure, a second-period voter obtains utility 1 minus expected cost 0.25 if he or she observes no participation in the first period regardless of the candidate he or she supports, i.e., \(EW_A^2(0)=EW_B^2(0)=EW^2(0)=0.75\). If an A-supporter observes that the first-period voter participated, his/her expected benefit is \(v^2_A(1)=\gamma\) by abstaining; and it is \(u^2_A(1)=\gamma +0.5(1-\gamma )\) if he or she votes. Plugging those values together with equilibrium participation \(p^2_A(1)=1-\gamma\) into formula (13), expected utility is:

$$\begin{aligned} E[W_A^2](1)=\gamma + \frac{1}{2}(1-\gamma )^2-\frac{1}{4}(1-\gamma )^2=\gamma +\frac{1}{4}(1-\gamma )^2. \end{aligned}$$
(A.17)

Likewise:

$$\begin{aligned} E[W_B^2](1)=1-\gamma +\frac{1}{4}\gamma ^2. \end{aligned}$$
(A.18)

Given the first-round equilibrium participation probabilities (5), the ex-ante probability of observing positive participation after the first period is

$$\begin{aligned} P(1)={\left\{ \begin{array}{ll} 3\alpha (1-\alpha ), \alpha \in [\frac{1}{2},\frac{2}{3}); \\ 1-\alpha +\alpha (1-\alpha )(2-\gamma ), \alpha \in [\frac{2}{3},1]. \end{array}\right. } \end{aligned}$$
(A.19)

For \(\alpha \in [1/2,2/3]\),

$$\begin{aligned} v_A^1= & {} \alpha p_A^2(0)+\frac{1}{2}\left( \alpha (1-p_A^2(0))+(1-\alpha )(1-p_B^2(0))\right) =\alpha . \end{aligned}$$
(A.20)
$$\begin{aligned} u_A^1= & {} 1-\frac{1}{2}\left( 1-\alpha \right) p_B^2(1)=\frac{3}{4}-\frac{1}{4}\alpha . \end{aligned}$$
(A.21)

Plugging the above expressions into formula (13) yields:

$$\begin{aligned} E[W_A^1]=\alpha +\frac{9}{16}(1-\alpha )^2. \end{aligned}$$
(A.22)

Likewise,

$$\begin{aligned} E[W_B^1]=1-\alpha +\frac{9}{16}\alpha ^2. \end{aligned}$$
(A.23)

Therefore, expected voter welfare under partial information disclosure is

$$\begin{aligned} E[W]^P= & {} \frac{1}{2}\left( \alpha E[W_A^1]+(1-\alpha )EW[_B^1]+E[W^2](0)\left( 1-3\alpha (1-\alpha )\right) +E[W^2](1)3\alpha (1-\alpha )\right) =\nonumber \\= & {} \frac{7}{8}-\alpha (1-\alpha ). \end{aligned}$$
(A.24)

Following the same logic, one may derive welfare for \(\alpha >2/3\):

$$\begin{aligned} E[W]^P= & {} \frac{1-\alpha }{2}\left( \frac{3}{4}-\frac{\alpha \gamma }{2}\right) +\frac{\alpha }{2} \left( \alpha +\frac{(1-\alpha )^2(1-\gamma ^2)}{2\alpha \gamma }-\frac{(1-\alpha )^2(1-\gamma )^2}{4\alpha ^2\gamma ^2} \right) +\frac{3}{4}\left( 1-\frac{(1-\alpha )}{\gamma }\right) + \nonumber \\&+ \frac{(1-\alpha )}{\gamma }\left( (1-\alpha )\left( \gamma +\frac{(1-\gamma )^2}{4}\right) + \alpha \left( 1-\gamma +\frac{\gamma ^2}{4}\right) \right) , \end{aligned}$$
(A.25)

where \(\gamma\) is the posterior probability that candidate A will lead after the first period conditional on the observed turnout being 1 given by formula (7).

Under full information, the first period’s A supporter’s expected utility is \(\alpha\) if he or she abstains, and \(1-0.25\alpha (1-\alpha )\) if he or she participates, since in the latter case A loses only when the second-period voter supports B, participates and the coin flip favors B. Then, from formula (13):

$$\begin{aligned} E[W_A^1]= & {} \alpha +\frac{1}{2}(1-\alpha )^2-\frac{1}{4}(1-\alpha )^2=\alpha +\frac{1}{4}(1-\alpha )^2. \end{aligned}$$
(A.26)
$$\begin{aligned} E[W_B^1]= & {} 1-\alpha +\frac{1}{4}\alpha ^2. \end{aligned}$$
(A.27)

If a second period’s A-supporter observes abstention, his/her expected utility is 1 minus the expected cost 0.25. If he or she observes A leading after the first period, his/her expected utility is 1. If he or she observes A losing, his/her expected utility is 0.25. Weighting those utilities by the ex-ante probabilities of observing each possible outcome of the first period, one may obtain:

$$\begin{aligned} E[W_A^2]=\frac{3}{4}(\alpha ^2+(1-\alpha )^2)+\alpha (1-\alpha )+\frac{1}{4}\alpha (1-\alpha )=\frac{3}{4}-\frac{1}{4}\alpha (1-\alpha ). \end{aligned}$$
(A.28)

The expression for \(E[W_B^2]\) is exactly the same.

Expected voter welfare thus is

$$\begin{aligned} E[W]^F=\frac{1}{2}\left( \alpha \left( \alpha +\frac{1}{4}(1-\alpha )^2\right) +(1-\alpha )\left( 1-\alpha +\frac{1}{4}\alpha ^2\right) + \frac{3}{4}-\frac{1}{4}\alpha (1-\alpha )\right) =\frac{7}{8}-\alpha (1-\alpha ). \end{aligned}$$
(A.29)

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Vorobyev, D. Information disclosure in elections with sequential costly participation. Public Choice 190, 317–344 (2022). https://doi.org/10.1007/s11127-021-00938-2

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  • DOI: https://doi.org/10.1007/s11127-021-00938-2

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