Natural Experiment in Politics
A natural experiment in political science exploits a naturally occurring source of as-if random assignment — close elections, lotteries, arbitrary boundaries, or policy thresholds — to identify causal effects without the researcher manipulating anything. Codified for the social sciences by Thad Dunning's 2012 design-based treatment and exemplified by David Lee's close-election regression-discontinuity analysis of U.S. House races, the approach treats nature, institutions, or chance as if they had run an experiment, recovering credible causal estimates from observational data when randomization is impossible.
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Fonti
- Dunning, T. (2012). Natural Experiments in the Social Sciences: A Design-Based Approach. Cambridge: Cambridge University Press. ISBN: 9781107698000
- Lee, D. S. (2008). Randomized experiments from non-random selection in U.S. House elections. Journal of Econometrics, 142(2), 675–697. DOI: 10.1016/j.jeconom.2007.05.004 ↗
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ScholarGate. (2026, June 22). Natural Experiment in Political Science (As-If Random Assignment). ScholarGate. https://scholargate.app/it/political-science/natural-experiment-politics
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- Difference-in-Means EstimatorPolitical Science↔ confronta
- Field Experiment in PoliticsPolitical Science↔ confronta
- Esperimento NaturaleDisegno sperimentale↔ confronta
- Regression Discontinuity in ElectionsPolitical Science↔ confronta
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