Previous Chapter Chapter 17: Time-Series Cross-Section

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Time-Series Cross-Section
Time-series cross-section

Social scientists have long investigated relationships between institutional, economic and social variables either by using comparisons between entities, such as schools, cities, regions, and countries, or through repeated observations in one geographic unit over time. Methodologies to examine these dimensions simultaneously, for instance time-series cross-section (TSCS) estimations, were only developed and applied in political science in the mid-1980s, and gained popularity with the publication of Stimson's (1985) seminal essay on the topic. Since then, the number of publications harnessing the strength of this technique has surged. The combination of cross-sections and time-series is a powerful analytical strategy to accommodate the interaction of the temporal and spatial dimensions in social science theories. It is therefore not surprising that TSCS models have become extremely ...

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