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Order in Chaos: Ballot Order Effects in a Post-Conflict Election?
Abstract
Ballot order effects are well documented in established democracies, but less so in fragile post-
conflict settings. We test for the presence of ballot order effects in the 2010 parliamentary election
in Afghanistan. Turning out for the 2010 election was a potentially life-threatening endeavor for the
Afghan voter. The election provides a first look at ballot order effects in a high stakes, post-conflict
setting. In this setting limited cognitive skills and information are more likely explanations of
potential ballot order effects than mechanisms of lacking of effort or ambivalence of choice.
Importantly, we find no evidence of a positive effect on the vote share of a higher ballot position.
Keywords: ballot order effects; biases; conflict; post-conflict elections, Afghanistan
Word count: 1,986
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INTRODUCTION
Democratic elections are the mechanism by which legitimate political leadership is chosen in most
developed countries. Thus we like to think of candidate choice as a thoughtful process governed by
the policy preferences of voters. Yet ballot order effects in democratic elections are well
documented across a number of different countries and election settings (Miller & Krosnick, 1998;
Krosnick et al. 2004; Koppell & Steen, 2004; Kim et al. 2013; Webber et al. 2014). Ballot order
effects entail that candidates placed higher on the ballot receive more votes solely due to their ballot
position. Often these effects are estimated as primacy effects of being the first candidate on the list.
For instance, Miller and Krosnick (1998) found that candidates listed first in 1992 Ohio election had
an electoral advantage over candidates listed below the top spot.
Here we test for the presence of ballot order effects in the case of the 2010 parliamentary election in
Afghanistan. The elections provide a first look at ballot order effects in a high stakes, post-conflict
setting. Participating in the 2010 election was a dangerous choice. Both the UN and US security
expects had warned of potential threats to the safety of voters, and around 8 percent of the 5,816
voting locations were closed due to security concerns. Indeed, people had good reasons to expect
violence since the period surrounding the presidential election in the previous year had seen the
highest number of civilian casualties since the fall of the Taleban in 2002 (AIHRC-UNAMA, 2009).
On election day itself news agencies reported that at least 14 people were killed (BBC Online,
2010). Partly as a consequence of the increased threat level, only 3.9 million of the 10 million
eligible voters turned out.
What then could be the underlying mechanism of ballot order effects in the case of Afghanistan?
Kim et al. (2013) find that ballot order effects are stronger for voters who 1) have little information
about the candidates, 2) feel ambivalence about candidates, 3) have limited cognitive skills, and 4)
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allocate little effort to candidate evaluation. These factors all tend to make voters more susceptible
to arbitrary order effects. We argue that some of these factors are more likely to explain potential
ballot order effects in the Afghan setting. On the one hand we can expect that the high illiteracy of
the Afghan electorate and lack of experience with democratic elections imply that the electorate has
limited candidate information and cognitive skills to deploy for candidate selection. This should
translate into potentially strong ballot order effects. On the other hand we can expect the post-
conflict setting of Afghanistan to provide strong incentives for picking the right candidate. This
argument is in line with Ho & Imai (2008) who find that ballot order effects disappear in high
stakes US elections. We may view Afghanistan as an extreme case of this. Further, the potential
life-threatening act of voting should induce those selecting into turnout to have a clear and
consciously conceived idea of who to vote for. People who do not care much about the act of voting
or the outcome of it would be unlikely to brave the dangers of election day in Afghanistan. On
balance, we therefore have mechanisms at work which should both enhance and reduce ballot order
effects in the case of Afghanistan. The paper is thereby able to shed some light on the relative
weight of the mechanisms underlying ballot order effects: If we find ballot order effects in
Afghanistan, then limited information and cognitive skills are more likely explanations than lacking
effort and ambivalence.
DATA AND DESIGN
On the 18th of September 2010 Afghan parliamentary election were held. The parliamentary
elections determined who were to be members of the Wolesi Jirga (the House of the People). Our
data consists of ballot information and elections results from each of the 34 provinces for this
election. We have obtained the total number of votes obtained for each candidate in every province
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along with their ballot position (IEC 2013). In the smallest district the ballot contained 12
candidates while the largest district of Kabul had 664 candidates (Median = 47).
Afghanistan is a particular well-suited case to study ballot order effects due to its single non-
transferable voting system (SNTV). Each voter casts one vote for a candidate in a set of potentially
unlimited number of candidates. The candidates receiving the most votes fill the predefined number
of seats allocated to each electoral district. The SNTV impedes the development of political parties
as votes cannot be transferred among candidates (Goodhand & Sedra 2007; Tadjbakhsh &
Schoiswohl 2008). Therefore, elections to the Wolesi Jirga involve large numbers of independent
candidates and in 2010 more than 2500 candidates contested a total of 249 seats. All of the elected
candidates were independents.
Ballot order in Afghanistan is determined by a random lottery which allows the data generating
process to be treated as a randomized experiment. However, if strong ballot order effects exist and
if these are known there will be equally strong incentives to manipulate the ballot order by political
or administrative elites (Meredith & Salant 2013). This poses a particular problem in a highly
corrupt state such as Afghanistan. Any manipulation of the candidate order would invalidate the
natural experimental setting by inducing unobservable confounders affecting both order an election
outcomes. One way of testing for manipulation is to make sure that candidate order is uncorrelated
with candidate background characteristics.
We conduct two such tests. First, we look for irregularities in the distribution of women on each
ballot. In Afghanistan’s highly religious and patriarchal society we would expect that intentional
manipulation of the ballot order would result in lower average ballot order position for women.
However, the data shows that there is no significant difference in the ballot order position of male
and female candidates (d=0.7, p=0.913). Second, for the candidates elected we observe if they are
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incumbents or not. If manipulation of ballot order had taken place we would expect elected
incumbents to have a higher ballot position than elected non-incumbents as the former would have
been able to leverage their position in the manipulation effort. Again the data does not suggest that
this is the case (d=21.5, p=0.288). In summary, we find it plausible to assume that candidate order
was not manipulated and was therefore exogenous to any candidate qualities or resources which
could affect their vote share.
EMPIRICAL FINDINGS
The main findings are presented in figure 1. Here the candidates’ relative ballot position is plotted
against each candidate’s vote share.1 For the full sample we see no significant effect of ballot
position on a candidate’s vote share (b=0.001, p=0.409). This null result is also robust to the
exclusion of the Kabul district, which has a much longer ballot than the others (b=0.002, p=0.409).
Further, the results hold if we use logged ballot position and control for logged ballot length
(b=0.001, p=0.703) or only estimate the model on districts with ballot length below the median of
46 (b=0.01, p=0.086).
1 Using the relative vote share is standard in existing studies (King & Leigh 2009)
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FIGURE 1
Another way of measuring ballot order effects is to compare vote shares of those at the very top of
the ballot with everybody else (Meredith & Salant 2013). Here we continue to control for logged
ballot length to account for the fact that smaller lists come with larger average vote shares for each
candidate and increase the probability of a given candidate being at the top of the list.
On average the first candidate on the ballot got a somewhat larger vote share than everybody else
but the difference is not significant (d=0.141, p=0.776). This effect is marginally significant if we
compare the top ten (d=0.461, p=0.045) but not significant for the top five (d=0.148, p=0.525).
However, the top ten-effect is driven entirely by three outliers. If these are removed the effect
disappears (d=0.287, p=0.209). On balance we do not find any support for the idea of ballot order
effects in Afghanistan.
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CONCLUSION
Some have downplayed the substantive effects of ballot order on democratic outcomes (Miller and
Krosnick 1998). Others find that order effects have actually been pivotal in deciding between
winners and losers in high stake elections (Koppel and Steen 2008). The findings presented here
find no support for a ballot order effect for the case of Afghanistan. Turning out for the 2010
Afghan election was a dangerous business. The absence of ballot order effects in the chaotic post-
conflict setting of Afghanistan points to limits of the phenomenon which has previously has been
identified for elections of varying importance in stable democracies. The findings raise the question
if ballot order effects are mainly driven by an overburdened and ambivalent electorate in low stakes
Western democratic elections. We have argued that the dangers, high stakes, and clear conflict lines
in Afghanistan should lead to a high level of effort and a low level of ambivalence in the average
voter turning out. At the same time the high Afghan illiteracy rate and lack of experience with
democratic elections should imply that the electorate has limited cognitive skills and information.
The null finding point to that the latter was not a sufficient condition for the electorate to use
candidate order as a short cut. The finding raises the broader question of how generalizable
anomalies found in political behavior in the developed world are to post-conflict democracies.
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REFERENCES
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