Replication Data for: Introducing the LEAD Data Set

This dataset includes the data and replication information necessary to replicate Cali M. Ellis, Michael C. Horowitz, and Allan C. Stam, “Introducing the LEAD Dataset.” International Interactions. 41:4 (2015), pp. 718-741. The Leader Experience and Attribute Descriptions (LEAD) data set provides a rich source of new information about the personal lives and experiences of over 2,000 state leaders from 1875–2004. For the first time, we can combine insights from psychology and human development with large-N data on interstate conflict for a new theory of leadership and interstate relations. The data set provides details about military experiences, childhood, education, personal and family life, and occupational history before leaders assumed power. The data are available in leader-year format and are compatible with existing tools for analysis such as EUGene (Bennett and Stam 2000). This research note discusses the motivation for the creation of the LEAD data set and discusses the coding decisions for most of the key variables. We provide a series of descriptive statistical illustrations of the data and illustrate the depth of the available information with cases from Latin American leaders, showing the durability of these personal experiences across space and time.本数据集包含复现Cali M. Ellis、Michael C. Horowitz与Allan C. Stam所著《引入LEAD数据集》一文所需的全部数据与复现信息。该文发表于《国际互动》2015年第41卷第4期，第718-741页。 领导者经历与属性描述（Leader Experience and Attribute Descriptions，简称LEAD）数据集收录了1875年至2004年间2000余名国家领导人的个人生活与经历等丰富的全新研究资料。本研究首次得以将心理学与人类发展领域的研究洞见，与国家间冲突的大样本数据相结合，进而构建领导力与国家间关系的全新理论。 该数据集涵盖了领导人执政前的军事经历、童年成长、教育背景、个人与家庭生活以及职业履历等详细信息。 数据集采用领导人-年份格式存储，可与现有分析工具（如EUGene，Bennett与Stam, 2000）兼容使用。 本研究简报阐述了构建LEAD数据集的初衷，并说明了绝大多数核心变量的编码规则。 我们通过一系列描述性统计示例对数据集进行展示，并以拉美国家领导人的案例直观呈现了数据集信息的丰富程度，同时印证了这类个人经历在不同时空维度下的延续性。