The Effects of Redistricting on Incumbents

Ansolabehere, Stephen; Snyder, James M.

doi:10.1089/elj.2012.0152

Cited by 15 publications

(7 citation statements)

References 22 publications

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“…A visual approach to the first question looks for areas in the literature network where two concepts are discussed separately and where a researcher might posit a connection. For example, recent work (Ansolabehere and Snyder Jr. 2012; Carsey, Winburn, and Berry 2017; Hood and McKee 2013; Limbocker and You 2020) has shown that redrawn lines that change the composition of the electorate exert an exogenous effect on the vote, but less attention has been paid to how such changes affect minority representation; there exists an opportunity for research concerned with political consequences of constituency boundaries to engage more directly with scholarship on minority representation.…”

Section: Application To Redistrictingmentioning

confidence: 99%

Mapping Literature with Networks: An Application to Redistricting

Lo¹,

Judge-Lord

Hudson³

et al. 2023

Polit. Anal.

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Understanding the gaps and connections across existing theories and findings is a perennial challenge in scientific research. Systematically reviewing scholarship is especially challenging for researchers who may lack domain expertise, including junior scholars or those exploring new substantive territory. Conversely, senior scholars may rely on long-standing assumptions and social networks that exclude new research. In both cases, ad hoc literature reviews hinder accumulation of knowledge. Scholars are rarely systematic in selecting relevant prior work or then identifying patterns across their sample. To encourage systematic, replicable, and transparent methods for assessing literature, we propose an accessible network-based framework for reviewing scholarship. In our method, we consider a literature as a network of recurring concepts (nodes) and theorized relationships among them (edges). Network statistics and visualization allow researchers to see patterns and offer reproducible characterizations of assertions about the major themes in existing literature. Critically, our approach is systematic and powerful but also low cost; it requires researchers to enter relationships they observe in prior studies into a simple spreadsheet—a task accessible to new and experienced researchers alike. Our open-source R package enables researchers to leverage powerful network analysis while minimizing software-specific knowledge. We demonstrate this approach by reviewing redistricting literature.

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Section: Application To Redistrictingmentioning

confidence: 99%

Mapping Literature with Networks: An Application to Redistricting

Lo¹,

Judge-Lord

Hudson³

et al. 2023

Polit. Anal.

View full text Add to dashboard Cite

show abstract

“…The first uses simulations to evaluate the fairness of a redistricting plan (Gelman andKing, 1990, 1994a,b;Engstrom, 2006;Glazer et al, 1987;McCarty et al, 2009;Chen and Rodden, 2013;Chen, 2016). The second compares actual election outcomes under different redistricting plans (Brunell and Grofman, 2005;Hetherington et al, 2003;Grainger, 2010;Ansolabehere and Snyder Jr, 2012;Carson et al, 2007;McCarty et al, 2009;Lo, 2013).…”

Section: Related Literaturementioning

confidence: 99%

Do Voters or Politicians Choose the Outcomes of Elections? Evidence from the Struggle to Control Congressional Redistricting

Jeong

Shenoy

2016

SSRN Journal

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“…One of the first efforts to elucidate the causes that cause the so-called "marginal seats" in a district is presented in [16]; that is, districts in which the winners win by a small majority, without finding significant links between redistricting and advantages for the incumbents. More recently, [17] analyze the US presidential elections for 1980, 1988 and 2000, both before and after the manipulation of district boundaries; it is empirically demonstrated, from a bipartisan perspective, that, on average, the manipulation of district boundaries had an impact no greater than a 2% advantage for incumbents, and even negatively affecting candidates of a certain party.…”

Section: Introductionmentioning

confidence: 99%

The Impact of Candidates’ Profile and Campaign Decisions in Electoral Results: A Data Analytics Approach

et al. 2021

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In recent years, a wide range of techniques has been developed to predict electoral results and to measure the influence of different factors in these results. In this paper, we analyze the influence of the political profile of candidates (characterized by personal and political features) and their campaign effort (characterized by electoral expenditure and by territorial deployment strategies retrieved from social networks activity) on the electoral results. This analysis is carried out by using three of the most frequent data analyitcs algorithms in the literature. For our analysis, we consider the 2017 Parliamentary elections in Chile, which are the first elections after a major reform of the electoral system, that encompassed a transition from a binomial to a proportional system, a modification of the districts’ structure, an increase in the number of seats, and the requirement of gender parity in the lists of the different coalitions. The obtained results reveal that, regardless of the political coalition, the electoral experience of candidates, in particular in the same seat they are running for (even when the corresponding district is modified), is by large the most influential factor to explain the electoral results. However, the attained results show that the influence of other features, such as campaign expenditures, depends on the political coalition. Additionally, by means of a simulation procedure, we show how different levels of territorial deployment efforts might impact on the results of candidates. This procedure could be used by parties and coalitions when planning their campaign strategies.

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The Effects of Redistricting on Incumbents

Cited by 15 publications

References 22 publications

Mapping Literature with Networks: An Application to Redistricting

Mapping Literature with Networks: An Application to Redistricting

Do Voters or Politicians Choose the Outcomes of Elections? Evidence from the Struggle to Control Congressional Redistricting

The Impact of Candidates’ Profile and Campaign Decisions in Electoral Results: A Data Analytics Approach

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