Powersharing institutions are often prescribed to enhance civil peace, democratic survival, and the equitable provision of public services, and these institutions have become more prevalent over time. Nonetheless, the past decade has seen a rise in democratic backsliding and competitive authoritarianism, raising questions about how the relationship between powersharing, democracy, and civil peace may be evolving. This article introduces an update to the Inclusion, Dispersion, and Constraints (IDC) powersharing dataset that adds nine years of data, up through 2019. These new data include enhanced intercoder reliability checks, a significant reduction in missing values, and the documentation and correction of some coding errors in the original data. We also employ latent variable models to estimate each of three types of powersharing, allowing scholars to account for measurement uncertainty in analyses of the causes and consequences of powersharing. This dataset allows scholars to address urgent questions about whether previously observed relationships between powersharing and democracy and powersharing and civil peace still hold in this new era, and in what contexts powersharing institutions remain advisable.

中文翻译：

---

De jure powersharing 1975–2019：更新包含、分散和约束数据集


权力分享机构通常被规定用于促进公民和平、民主生存和公平提供公共服务，随着时间的推移，这些机构变得越来越普遍。尽管如此，过去十年见证了民主倒退和竞争性威权主义的增加，这引发了人们对权力分享、民主和公民和平之间关系如何演变的质疑。本文介绍了对 Inclusion， Dispersion， and Constraints （IDC） Powersharing 数据集的更新，该数据集增加了截至 2019 年的 9 年数据。这些新数据包括增强的编码器间可靠性检查、缺失值的显著减少以及原始数据中一些编码错误的记录和更正。我们还采用潜在变量模型来估计三种类型的权力共享中的每一种，使学者能够在分析权力共享的原因和后果时考虑测量不确定性。该数据集使学者能够解决紧迫的问题，即以前观察到的权力分享与民主以及权力分享与公民和平之间的关系在这个新时代是否仍然存在，以及在什么情况下权力分享机构仍然是可取的。