Teaching autocracy with global panel data

Fabio Angiolillo

Chapter 5 in Teaching Autocracy and Autocratic Politics, 2026, pp 88-105 from Edward Elgar Publishing

Abstract: This chapter explores the pedagogical value of incorporating panel data into teaching about autocracy. As interest in non-democratic governance rises, political science instructors face the challenge of making complex theoretical frameworks accessible and engaging. The chapter argues that panel data should be considered foundational in fostering students’ analytical and conceptual skills when learning about authoritarianism. These datasets help translate theories into measurable variables, allowing students to critically evaluate competing regime typologies and the empirical implications of methodological choices. The chapter outlines four uses of integrating panel data into an authoritarian politics class: illustrating theory-to-measurement challenges, exploring regime characteristics, accommodating students’ diverse methodological backgrounds with active or passive data engagement, and contextualizing regime developments across time and space. By embedding panel data into course design, instructors can create dynamic, evidence-based learning environments that enhance understanding and encourage critical engagement with authoritarianism, one of the most fast-paced evolving topics in political science.

Keywords: Panel data; Dynamic Learning; Authoritarianism; Political Science; Regime Typologies; Measurements (search for similar items in EconPapers)
Date: 2026
ISBN: 9781035353453
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