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Systematic Measurement Error in Election Violence Data: Causes and Consequences

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  • von Borzyskowski, Inken
  • Wahman, Michael

Abstract

What are the causes and consequences of systematic measurement error in violence measures drawn from media-based conflict event data? More specifically, how valid are such event data for geocoding and capturing election violence? This study examines sub-national variation in election violence and uses original data from domestic election monitor surveys as a comparison to widely used sources of event data. The authors show that conventional data under-report events throughout the election cycle, particularly in sparsely populated areas and outside anticipated violence hotspots. Moreover, systematic measurement error of media-based event data for measuring election violence can generate significant relationships where none exist, and can result in different effect magnitudes. The article suggests areas for future research and indicates ways in which existing work on election violence may have been affected by systematic measurement error.

Suggested Citation

  • von Borzyskowski, Inken & Wahman, Michael, 2021. "Systematic Measurement Error in Election Violence Data: Causes and Consequences," British Journal of Political Science, Cambridge University Press, vol. 51(1), pages 230-252, January.
    • Handle: RePEc:cup:bjposi:v:51:y:2021:i:1:p:230-252_13
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    Cited by:

    1. Pearce Edwards & Patrick Pierson, 2023. "Incumbent-Aligned Terrorism and Voting Behavior: Evidence from Argentina’s 1973 Elections," Journal of Conflict Resolution, Peace Science Society (International), vol. 67(4), pages 672-700, April.
    2. Inken Borzyskowski & Felicity Vabulas, 2022. "On IGO withdrawal by states vs leaders, and exogenous measures for inference," The Review of International Organizations, Springer, vol. 17(1), pages 217-222, January.
    3. Seung-Whan Choi, 2022. "Nationalism and withdrawals from intergovernmental organizations: Connecting theory and data," The Review of International Organizations, Springer, vol. 17(1), pages 205-215, January.
    4. Sarah A. V. Ellington & Benjamin E. Bagozzi & Daniel Berliner & Brian Palmer-Rubin & Aaron Erlich, 2022. "Measuring Human Rights Abuse from Access to Information Requests," Journal of Conflict Resolution, Peace Science Society (International), vol. 66(2), pages 357-384, February.

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