Comparing Political Units Over Time: An Overview of Time-Series-Cross-Section Analysis

Phillippe J Scrimger
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Abstract

This article overviews time-series-cross-section (TSCS) data analysis in the social sciences, a method that has been gaining in popularity since the late 1990s. The paper outlines the pros and cons of the different strategies to model both the time-series and the cross-sectional dimensions of TSCS data. Most importantly, it is argued throughout that one should follow an iterative process when modeling TSCS data. This means using more general models first and then imposing some restrictions on the basis of theoretical insights and in accordance with the actual structure of the data.
比较不同时期的政治单位:时间序列-横断面分析概述
本文概述了时间序列横截面(TSCS)数据分析在社会科学中的应用,这是一种自20世纪90年代末以来越来越受欢迎的方法。本文概述了对TSCS数据的时间序列和横截面维度进行建模的不同策略的优缺点。最重要的是,在对TSCS数据建模时,应该遵循迭代过程。这意味着首先使用更一般的模型,然后根据理论见解和数据的实际结构施加一些限制。
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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