Abstract

Time can either be treated as a nuisance or as a substantively interesting variable across a variety of political science subfields and a wide array of research questions. The popularity of studying political phenomena over time has increased over the past 40 years. Encompassing any study where data are collected at multiple points in time, time series analysis includes studies of duration, event counts, (pseudo-)panels, repeated cross-sections, pooled cross-sections, and studies of volatility. Beginning with a discussion of the development and integration of ‘long’ time series methodology in the political science literature, we also briefly discuss other types of time series. We conclude with some suggestions for future research.

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