Replication data for: The Measurement of Cross-cutting Cleavages and Other Multidimensional Cleavage Structures

Many studies in economics and political science include the concept of ethnic diversity as a key independent variable in empirical studies. To date, however, only single-dimensional measures of ethnic diversity, such as ethnic fractionalization, have been available. In this paper, I define and measure three multi-dimensional characteristics of social structure—cross-cuttingness, cross-fractionalization and sub-group fractionalization—and present a new cross-national dataset comprised of indices along combinations of five cleavages: race, language, religion, region and income. After addressing important definitional and measurement issues, I discuss the data and show how their inclusion in economic growth regressions re-opens the theoretical debate regarding the influence of ethnic diversity, indicating the potential for these new indices to shed light on the role of ethnic diversity (and social structure more generally) with regards to a number of phenomena of concern to political scientists.

经济学与政治学领域的诸多实证研究均将族群多样性（ethnic diversity）作为核心自变量。然而截至目前，仅可获取族群分裂度（ethnic fractionalization）这类单维度的族群多样性测度指标。本文界定并测度了社会结构的三项多维度特征——交叉切割度（cross-cuttingness）、交叉分裂度（cross-fractionalization）与亚群分裂度（sub-group fractionalization），并构建了一套全新的跨国数据集，该数据集包含基于种族、语言、宗教、地域与收入五大社会裂痕的组合所生成的各类指数。在厘清关键的定义与测度问题后，本文对该数据集进行了探讨，并展示了将其纳入经济增长回归模型后，如何重新开启关于族群多样性影响的理论争论，表明这些新型指数有望为政治学研究者关注的诸多现象背后的族群多样性（乃至更广泛的社会结构）的作用机制提供全新的阐释视角。