Partisan and bipartisan gerrymandering

Date01 September 2020
Published date01 September 2020
AuthorChen‐Yu Pan,Hideo Konishi
DOIhttp://doi.org/10.1111/jpet.12433
J Public Econ Theory. 2020;22:11831212. wileyonlinelibrary.com/journal/jpet © 2020 Wiley Periodicals, Inc.
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1183
Received: 5 September 2017
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Accepted: 30 December 2019
DOI: 10.1111/jpet.12433
ORIGINAL ARTICLE
Partisan and bipartisan gerrymandering
Hideo Konishi
1
|ChenYu Pan
2
1
Department of Economics, Boston College,
Chestnut Hill, Massachusetts
2
Department of Public Finance and
Taxation, School of Economics and
Management, Wuhan University, Wuhan,
China
Correspondence
Hideo Konishi, Department of Economics,
Boston College, Chestnut Hill, MA 02467.
Email: hideo.konishi@bc.edu
Abstract
This paper analyzes the optimal partisan and bi-
partisan gerrymandering policies in a model with
electoral competitions in policy positions and transfer
promises. Party leaders have both officeand policy
motivations. With complete freedom in redistricting,
partisan gerrymandering policy generates the most
onesidedly biased district profile, while bipartisan
gerrymandering generates the most polarized district
profile. In contrast, with limited freedom in gerry-
mandering, both partisan and bipartisan gerry-
mandering tend to prescribe the same policy.
1|INTRODUCTION
It is widely agreed upon that election competitiveness has decreased significantly in recent
decades. For example, the reelection rate of the US House of Representatives has increased
from 91.82% in 1950 to 98.25% in 2004 (Friedman & Holden, 2009). Also, 74 House seats were
won by a margin of less than 55% in 2000, but this number decreased to 24 in 2004 (Fiorina,
Pope, & Abrams, 2011). During the same period, Congress has become quite polarized. In the
1960s, the distribution of the representatives' political positions was concentrated more toward
the center of the political spectrum, with considerable overlap between Republicans' and De-
mocrats' positions. By the 2000s, the positions became sharply twinpeaked with less overlap.
1
One popular explanation for this phenomenon in the US politics is gerrymandering. Fiorina
et al. (2011) argue that gerrymandering biased toward incumbents, that is bipartisan gerry-
mandering, has an effect on the decrease in competitiveness, since both parties try to secure
their incumbent seats.
2
They also suggest that this decrease in competitiveness may be
1
It is now standard to use a onedimensional scaling score (DWNominate procedure on economic liberalconservative,
Poole and Rosenthal, 1997) to measure representatives' political positions.
2
Fiorina et al. (2011) state that Many (not all) observers believe that the redistricting that occurred in 20012002 had a
good bit to do with this more recent decline in competitive seatsthe party behaved conservatively, concentrating on
protecting their seats rather than attempting to capture those of the opposition.(see Fiorina et al., 2011, pp. 214215).
one of the causes of the recent political polarization in Congress, since proposing more po-
larized positions does not jeopardize secured seats.
3
In contrast, partisan gerrymandering is commonly used to increase the power of a political
party, and it may or may not reduce district competitiveness, since the party tries to secure their
incumbents but at the same time may create competitive districts to capture the opposing
party's districts. Recently, there have been many partisan gerrymandering lawsuits against state
legislatures to request redistricting of state congressional maps, including Pennsylvania,
Maryland, Wisconsin, and North Carolina.
4
In these cases, the courts rely on a measure of vote
misrepresentation, the efficiency gap, and heated debates are going on as to whether or not this
is an appropriate measure to use (Bernstein & Duchin, 2017; Chambers, Miller, & Sobel, 2017).
5
Since these two methods loom large in US politics and public debates, we go one step further to
see how different the resulting district maps under partisan and bipartisan gerrymandering are,
and how polarized the elected representatives are.
In this paper, we will investigate the difference between optimal partisan and bipartisan
gerrymandering and the effects on representative policy positions in a unified framework. For
this purpose, we introduce party leaders who are not only officemotivated but also policy
motivated, which is also new to the literature. We set up a twoparty political competition
model in which party leaders compete with their candidates' (unidimensional) policy positions
and porkbarrel promises in each electoral district.
6
We assume that there are minimum units
of indivisible localities with the same population, and that a gerrymanderer partitions the set of
localities to create electoral districts. Each locality has a voter distribution, and we say that the
gerrymanderer has complete freedom in redistricting if the distribution is concentrated on a
point on the political spectrum. With porkbarrel politics, the party leader understands that
porkbarrel policies in competitive districts are costly, and therefore she has strong incentives to
collect her supporters in the winning districts to avoid large porkbarrel promises.
Traditionally, the literature on gerrymandering often discusses two tactics in partisan ger-
rymandering: one is to concentrate or pack those who support the opponent in losing districts,
and the other is to evenly distribute or crack supporters in winning districts. Packing serves to
waste the opposing party's strong supporters' votes, while cracking utilizes the votes of party
supporters as effectively as possible. Owen and Grofman (1988) show that a packandcrack
policy is optimal when a partisan gerrymanderer has limited freedom in redistricting (a
constantaverage constraint: see the literature review). In contrast, Friedman and Holden (2008)
3
Since polarization has complicated causes, this argument has limitations. Citing that polarization has also been
happening in the Senate, Fiorina et al. (2011, p. 219) suggest that redistricting is only a minor part of congressional
polarization, or that it is important only in combination with other factors such as closed primaries.Alternative
explanations for polarization include voters' party sorting and geographical sorting. The former says that voters became
sorted into Republican and Democratic parties in the latter half of 1900s due to party elites' polarization
(Levendusky, 2009). See also Gilroux (2001). The latter says that voters sort themselves into more ideologically
homogeneous districts, causing polarization. The rationale behind this is that districts seem to polarize more between
redistricting than during them (McCarty, Poole, & Rosenthal, 2009).
4
In February 2018, the Pennsylvania Supreme Court blamed the states' district map on partisan gerrymandering, and
told state lawmakers to redraw the state's 18 House districts, which currently favor Republicans.
5
The efficiency gap and the voteseat curve are measures based on only two numbers, the vote shares and the seat
shares of the two parties, which may not contain sufficient information to appropriately evaluate partisan gerry-
mandering. As Chambers et al. (2017) correctly recognize, the presence of extremists and election uncertainty should be
taken into account. For example, consider the outcome of conservative bipartisan gerrymandering. It is possible that the
resulting redistricting plan generates extremely polarized policy positions for the elected representatives but is still
perfectly desirable under criteria like the efficiency gap or the seatvote curve.
6
We assume that party leaders can choose their candidates' policy positions freely.
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KONISHI AND PAN

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