Apportionment in times of digitalization
Andranick S. Tanguiane
No 161, Working Paper Series in Economics from Karlsruhe Institute of Technology (KIT), Department of Economics and Management
Abstract:
We critically discuss the Jefferson/D'Hondt and Webster/Sainte-Laguë methods, which are used to allocate parliament seats to parties in the mixed-member proportional representation systems in Germany, New Zealand, Bolivia, South Africa, South Korea, Scotland and Wales, as well as in the European Parliament. The task is as follows: (1) the parliament must be of a certain size or slightly larger than that, (2) the party factions must include all direct mandate holders elected in constituencies and (3) the faction ratio should reflect, with a certain accuracy, the votes received by the parties across the country. We show that discrete optimization techniques result in better and more accurate apportionments. In addition, we consider adjustment vote weights defined within the optimization approach and show that they can give a general consistent solution to the apportionment problem. All of these are illustrated using the example of the 2021 German Bundestag elections.
Keywords: representative democracy; proportional representation; apportionment; Jefferson/D'Hondt method; Webster/Sainte-Laguë method; optimization; adjustment vote weights (search for similar items in EconPapers)
JEL-codes: D71 (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.econstor.eu/bitstream/10419/271097/1/1845180046.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:zbw:kitwps:161
Access Statistics for this paper
More papers in Working Paper Series in Economics from Karlsruhe Institute of Technology (KIT), Department of Economics and Management Contact information at EDIRC.
Bibliographic data for series maintained by ZBW - Leibniz Information Centre for Economics ().