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The calculus of democratic deliberation

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Abstract

Deliberation may increase the quality of decisions but also necessarily takes time and effort and hence will have costs. But proponents of deliberative democracy as an attractive or superior method for making decisions almost all focus on presumed benefits while in practice ignoring the costs associated with investing time and resources in the process of deliberation. We show that the cost side significantly influences the performance of the deliberative process. Through a number of simulations, we demonstrate that there must be a certain point beyond which the costs of deliberating will outweigh the potential benefits. Since this type of processes invariably will be time consuming, especially when the convergence of the participants towards a common goal is slow, conditions are derived where the deliberative process performs relatively well or relatively poorly, both as concerns the probability of reaching an agreement and in the net benefits to the participants. This is especially the case when the number of participants increase.

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Notes

  1. Cf., e.g., Thompson 2013, 498. There is no one, unifying theory or general version of deliberative democracy, but for some major statements, see, e.g., Fishkin 1991; Gutmann and Thompson 2004, and the contributions collected in Bohman and Rehg 1997; Elstub and McLaverty 2014. For a broad, if somewhat dated, survey, see Bohman 1998.

  2. For contrasting treatments of the inclusion of problems involved in democratic deliberation see, e.g., Shapiro 2002; Fishkin and Laslett 2002, 127. Ackerman and Fishkin (2004) consider the potential practical costs of organizing a national ‘Deliberation Day’ in the US, but without comparing these to the supposed benefits.

  3. The problem identified and discussed here should not be confused with the quite distinct problem of whether deliberation is likely to reduce the probability of cyclical collective preferences (Riker 1982); cf. the discussions involving, e.g., Grofman and Feld 1988; Miller 1992; Dryzek and List 2003. The two issues may relate (e.g., since more majority-cycles could be seen as potentially increasing decision costs, while a structuration of preferences through deliberation could be seen as reducing cycling) but they are conceptually different. There may potentially be significant costs in collective decision-making, no matter whether there are cyclical preferences or not.

  4. Modeling such a process requires elaborating on the important virtues of a consensus decision making model as being inclusive, participatory and collaborative.

  5. Variance-based measures can mislead when the mean is close to an extreme point and are only applicable when outcomes have a quantitative scale (Akiyama et al. 2016).

  6. Not all authors share this positive view of the participants’ behaviour in a deliberative process. E.g., Sunstein (2002) and Wolf, Strachan and Shea (2012) consider several mechanisms by which a deliberative process could end in a polarized situation rather than in a consensus. It would be easy to derive results that deliberation is not worthwhile by building in obstructive behaviour. But why should participants enter such a process in the first place?

  7. The direct costs consist both of opportunity costs of time and travel costs. Both can be properly valued using a standard economic valuation method.

  8. Which is to say that there is a 96% likelihood that the three participants accept the outcome. Note that even though the positions are still far from fully converged, the probability of consensus is high. This hinges on the specification of the probability of consensus relationship, other specification could obviously result in other (lower) probabilities of consensus for these three positions.

  9. Our results are also compatible with those of Congleton, who through the use of simulations has demonstrated that when ignorance is an element, even relatively small increases in the shares of ignorant voters may lead to significantly poorer democratic decisions (Congleton 2007; cf. Selb and Lachat 2009).

  10. For some, this describes the main dynamics in the deliberative process (Gabbay, 2007). However, according to List (2018), this set-up is not fully realistic, given that public deliberation seldom seems to change anyone’s mind.

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Correspondence to Peter Kurrild-Klitgaard.

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We are grateful to Roger Congleton and anonymous reviewers for very useful suggestions.

Appendix

Appendix

For all calculations, (if nothing else is mentioned) we use the following parameter values: \(U_{i} \left( {C_{t} } \right) = U\left( C \right) = 30\), \(\beta_{it} = \beta = 1\), \(a_{0} = 5\), \(a_{1} = 0.5\), \(TC_{i} = 2\), \(n = 3\). Start value = 5% (implying that \(P_{i1} = \left( {P_{0}^{A} - P_{i0} } \right)\cdot5\% + P_{i0}\)) 3 participants with initial position: \(P_{1}^{I} = 1\), \(P_{2}^{I} = 3\), \(P_{3}^{I} = 8\).

1.1 Additional material for Sect. 3

See Table 2.

Table 2 Effect of changes in one parameter on the performance of the deliberation process

Increasing \(n\) is done by duplicating the participants from the original situation (which means \(P_{1}^{I} = P_{4}^{I} , P_{2}^{I} = P_{5}^{I}\) and \(P_{3}^{I} = P_{6}^{I}\)). Thereby the group variance is unchanged, while \(\frac{{\partial V_{t}^{e} }}{{\partial P_{it} }}\) is halved and the result holds that for \(n = 6\), no consensus exists (Table 3).

Table 3 Effect of changing an individual \(\alpha_{it}\) on outcome of deliberative process

Note that an increase in \(\alpha_{3t}\) by 25%, results in a decrease in all participants position changes, reduces the probability of consensus and reduces all participants expected net benefits. A reduction in \(\alpha_{3t}\) gives the opposite result. Remarkably, all participants benefit almost identically even though only \(\alpha_{3t}\) is subject to the change (Table 4).

Table 4 Effect of changing an individual \({\varvec{U}}_{{\varvec{i}}} \left( {\varvec{C}} \right)\) on outcome of deliberative process

Note that changes in \(TC_{i}\) does not affect the optimal choice of position in a round but might affect how many rounds are optimal for that participant, and thereby reduces the probability of consensus. Changes in \({\varvec{U}}_{{\varvec{i}}} \left( {\varvec{C}} \right)\) does affect both the optimal choice of position in any round and the utility for that participant. A sufficiently increase in \(U_{3} \left( C \right)\), makes positions converge faster and increase the net benefit for all participants. A sufficiently decrease in \({\varvec{U}}_{3} \left( C \right)\) reducing utility for all participants.

1.2 Additional material for Sect. 4

The effect of preference change on performance of deliberative process.

In this example, we model preference shifts as follows:

$$P_{it}^{ \cdot } = P_{i}^{I} \cdot \left( {1 + z} \right)^{t} + \frac{1}{{2\alpha_{it} }}\left( {\frac{{dPr_{t}^{E} }}{{dV_{t} }} \cdot U_{i} \left( {C_{t} } \right) + \beta_{i} } \right) \cdot \left( { - \frac{{\partial V_{t}^{E} }}{{\partial P_{it} }}} \right),\;\;{\text{if}}\;\;\frac{{\partial V_{t}^{E} }}{{\partial P_{it} }} < 0\left( {P_{it} < P_{t}^{A} } \right)$$
$$P_{it}^{*} = P_{i}^{I} \cdot \left( {1 - z} \right)^{t} - \frac{1}{{2\alpha_{it} }}\left( {\frac{{dPr_{t}^{E} }}{{dV_{t} }} \cdot U_{i} \left( {C_{t} } \right) + \beta_{i} } \right) \cdot \left( { - \frac{{\partial V_{t}^{E} }}{{\partial P_{it} }}} \right),\;\;{\text{if}}\;\;\frac{{\partial V_{t}^{E} }}{{\partial P_{it} }} > 0\left( {P_{it} > P_{t}^{A} } \right)$$

Hence, for any given period, we let the initial position be moved towards the average position by a factor of \(\left( {1 \pm z} \right)^{t}\). Results presented in Table 5.

Table 5 Effect of preference change on performance of deliberative process

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Kurrild-Klitgaard, P., Brandt, U.S. The calculus of democratic deliberation. Const Polit Econ 32, 165–186 (2021). https://doi.org/10.1007/s10602-021-09329-7

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