Show issue Year 12/2012  Volume 2020  Issue 34 Regional Correction of The Flis-Słomczyński-Stolicki Formula: The Case of Turkish Elections

Q3 Social Sciences
Decyzje Pub Date : 2020-12-15 DOI:10.7206/dec.1733-0092.145
Uğurcan Evci
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引用次数: 2

Abstract

This paper proposes a correction to the Flis-Słomczyński-Stolicki (2019, 2020) formula for countries with large variation among their districts in terms of political divisions. The Flis-Słomczyński-Stolicki formula (FSS formula) estimates seat allocations under the Jefferson-D’Hondt method by using national vote shares, as well as other parameters that are often readily available. However, the FSS formula does not yield precise estimates in those countries where there are independent candidates, special rights assigned to minority parties, signifi cant variation in district sizes, or an unequal distribution of votes due to ethnic or other regional divisions. Hence, I propose dividing the national distribution of votes into regions that satisfy the assumptions of the FSS formula within their district borders. By applying the FSS formula to regions consisting of historically and politically homogenous districts, I demonstrate that the formula’s estimates become signifi cantly more precise. For instance, by applying the regional correction to the 2018 Turkish Parliamentary elections, as well as other Turkish elections between 2007 and 2015, I show that the formula with the correction in three separate regions improves the Loosemore-Hanby goodness of fi t estimates from 2.1 to 3.41 percentage points (95% CI). Thus, the correction might signifi cantly improve the estimates of the FSS formula in various countries, including Spain, Peru, and Belgium.
2012年12月展会  2020卷  第34期Flis-Słomczyński Stolicki公式的区域更正:土耳其选举案例
本文提出了对Flis-Słomczyński Stolicki(20192020)公式的修正,适用于政治分歧地区差异较大的国家。Flis-Słomczyński Stolicki公式(FSS公式)通过使用国家选票份额以及其他通常可用的参数,根据Jefferson-D’Hondt方法估计席位分配。然而,在那些有独立候选人、少数党享有特殊权利、地区规模显著变化或因种族或其他地区划分而导致选票分配不均的国家,FSS公式并不能给出准确的估计。因此,我建议将全国选票分布划分为在其地区边界内满足FSS公式假设的地区。通过将FSS公式应用于由历史和政治同质地区组成的地区,我证明了该公式的估计变得更加精确。例如,通过将区域修正应用于2018年土耳其议会选举以及2007年至2015年期间的其他土耳其选举,我发现在三个不同区域进行修正的公式将Loosemore Hanby的拟合优度估计值从2.1提高到3.41个百分点(95%置信区间)。因此,修正可能会显著改善包括西班牙、秘鲁和比利时在内的各个国家对FSS公式的估计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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Decyzje
Decyzje Social Sciences-Law
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