Replication data for: The Manifesto Project data extended to include the logit scales and standard errors

This dataset contains original Manifesto Project data extended to include the logit scales introduced in William Lowe, Kenneth Benoit, Slava Mikhaylov, and Michael Laver. 2011. “Scaling Policy Preferences From Coded Political Texts.” Legislative Studies Quarterly 26(1, Feb): 123-155. The dataset also includes estimations of standard errors introduced in Benoit, Kenneth, Michael Laver, and Slava Mikhaylov. 2009. “Treating Words as Data with Error: Estimating Uncertainty in Text Statements of Policy Positions”. American Journal of Political Science 53 (2): 495–513.

本数据集包含原始的宣言项目（Manifesto Project）数据，并补充了由William Lowe、Kenneth Benoit、Slava Mikhaylov与Michael Laver于2011年发表的论文《从编码政治文本中缩放政策偏好》（Scaling Policy Preferences From Coded Political Texts）中提出的对数几率尺度（logit scales）方法。该文献刊载于《立法研究季刊（Legislative Studies Quarterly）》第26卷第1期（2月刊），页码范围为123-155。此外，本数据集还纳入了由Benoit、Kenneth、Michael Laver与Slava Mikhaylov于2009年发表的论文《将文本视作带误差的数据：估计政策立场文本表述中的不确定性》（Treating Words as Data with Error: Estimating Uncertainty in Text Statements of Policy Positions）中提出的标准误（standard errors）估计方法。该文献刊载于《美国政治科学杂志（American Journal of Political Science）》第53卷第2期，页码范围为495–513。