ScholarGate
Asistent
Process / pipelineQuasi-experimental designs

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.

Otvorite u MethodMindUskoroPrimijenite, usporedite, dobijte smjernice
Alati i resursi
Preuzmi prezentaciju
Učenje i istraživanje
VideoUskoro

Pročitajte cijelu metodu

Samo za članove

Prijavite se besplatnim računom kako biste pročitali ovaj odjeljak.

Prijavite se

Karta metoda

Okruženje srodnih metoda — odaberite čvor za istraživanje.

Izvori

  1. Dunning, T. (2012). Natural Experiments in the Social Sciences: A Design-Based Approach. Cambridge: Cambridge University Press. ISBN: 9781107698000
  2. 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

Kako citirati ovu stranicu

ScholarGate. (2026, June 22). Natural Experiment in Political Science (As-If Random Assignment). ScholarGate. https://scholargate.app/hr/political-science/natural-experiment-politics

Koja metoda?

Postavite ovu metodu uz njoj najsrodnije i pročitajte ih jednu uz drugu — knjižnica vam knjige stavlja na stol; izbor je na vama.

Usporedi jedno uz drugo

Citirana u

ScholarGateNatural Experiment in Politics (Natural Experiment in Political Science (As-If Random Assignment)). Preuzeto 2026-06-25 s https://scholargate.app/hr/political-science/natural-experiment-politics · Skup podataka: https://doi.org/10.5281/zenodo.20539026