2021
DOI: 10.1080/09644008.2021.1982901
|View full text |Cite
|
Sign up to set email alerts
|

Unequal Geographic Representation in a Mixed-Member Electoral System: Evidence from the German Bundestag

Abstract: This paper demonstrates a systematic geographic bias in the German mixedmember electoral system. This bias concerns the composition of the individual party groups, and, by extension, the composition of the parliament: The Bundestag is much more urban than it would be under equal geographic representation. The bias is caused by the distribution of list seats across districts: since parties have incentives to give the best list positions to candidates from their strongest districts, regions where the vote is mor… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
4

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(1 citation statement)
references
References 37 publications
0
1
0
Order By: Relevance
“…These include turnout as a standard measure for civicness, log total population, GDP per capita, population above the age of 60, gender ratio, percentage of people with a college degree, employment shares in sectors that hardly allow for work-from-home such as hospitality, transport, and manufacturing, a dummy for East Germany, and lagged number of Covid cases, a measure that featured prominently in German media coverage as "case incidence." For urbanization, we follow Haffert (2021) and include a variety of indices: population density, percentage of people below the age of 35, percentage of students, and university-to-population ratio. To further alleviate the potential confounding effects of urbanization, we split our sample into two, based on (1) the distinction between free cities ("Kreisfreie Stadt" or "Stadtkreis") and rural counties ("Kreis" or "Landkreis") and ( 2) the presence of universities (either above or below the mean university-population ratio).…”
Section: Estimation Strategymentioning
confidence: 99%
“…These include turnout as a standard measure for civicness, log total population, GDP per capita, population above the age of 60, gender ratio, percentage of people with a college degree, employment shares in sectors that hardly allow for work-from-home such as hospitality, transport, and manufacturing, a dummy for East Germany, and lagged number of Covid cases, a measure that featured prominently in German media coverage as "case incidence." For urbanization, we follow Haffert (2021) and include a variety of indices: population density, percentage of people below the age of 35, percentage of students, and university-to-population ratio. To further alleviate the potential confounding effects of urbanization, we split our sample into two, based on (1) the distinction between free cities ("Kreisfreie Stadt" or "Stadtkreis") and rural counties ("Kreis" or "Landkreis") and ( 2) the presence of universities (either above or below the mean university-population ratio).…”
Section: Estimation Strategymentioning
confidence: 99%