2017
DOI: 10.1016/j.electstud.2017.06.004
|View full text |Cite
|
Sign up to set email alerts
|

Malapportionment and democracy: A curvilinear relationship

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
8
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
6

Relationship

1
5

Authors

Journals

citations
Cited by 19 publications
(10 citation statements)
references
References 19 publications
0
8
0
Order By: Relevance
“…Despite the fact that varying combinations of electioneering strategies have been of interest, we know little about how malapportionment is related to blatant electoral manipulation. Previous research on the value of a vote has primarily focused on the economic consequences of malapportionment (Horiuchi and Saito, 2003) or determinants of malapportionment (Samuels and Snyder, 2001; Horiuchi, 2004; Kamahara and Kasuya, 2014; Ong et al ., 2017). One important exception is Daxecker (2019), who uses the constituency-level data of six parliamentary elections in India and finds that highly malapportioned districts tend to experience less electoral violence.…”
Section: The Incumbent's Election Toolkitmentioning
confidence: 99%
See 4 more Smart Citations
“…Despite the fact that varying combinations of electioneering strategies have been of interest, we know little about how malapportionment is related to blatant electoral manipulation. Previous research on the value of a vote has primarily focused on the economic consequences of malapportionment (Horiuchi and Saito, 2003) or determinants of malapportionment (Samuels and Snyder, 2001; Horiuchi, 2004; Kamahara and Kasuya, 2014; Ong et al ., 2017). One important exception is Daxecker (2019), who uses the constituency-level data of six parliamentary elections in India and finds that highly malapportioned districts tend to experience less electoral violence.…”
Section: The Incumbent's Election Toolkitmentioning
confidence: 99%
“…The main independent variable in this paper is the degree of malapportionment. I use an extensive cross-sectional time series dataset of malapportionment originally constructed by Kamahara and Kasuya (2014), complemented with Ong et al's (2017) cross-sectional data of malapportionment 5 . Malapportionment is defined as ‘the discrepancy between the shares of legislative seats and the shares of population held by geographical units’ (Samuels and Snyder, 2001: 652).…”
Section: Empiricsmentioning
confidence: 99%
See 3 more Smart Citations