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方法族Process / pipelineProcess / pipeline
起源年份1990s (formal methodological articulation); earlier in epidemiology (John Snow, 1854)1920s–1930s (agriculture); 1990s–2000s (social sciences)
提出者Varied; systematized in econometrics and political science (e.g., Meyer 1995; Angrist & Krueger 1991)Formalized by R. A. Fisher (1935); systematized in social sciences by Harrison & List (2004)
类型Quasi-experimental research designExperimental design
开创性文献Meyer, B. D. (1995). Natural and quasi-experiments in economics. Journal of Business and Economic Statistics, 13(2), 151–161. DOI ↗Harrison, G. W., & List, J. A. (2004). Field experiments. Journal of Economic Literature, 42(4), 1009–1055. DOI ↗
别名natural quasi-experiment, naturally occurring experiment, exogenous shock design, as-if randomizationfield trial, natural field experiment, randomized field experiment, field RCT
相关35
摘要A natural experiment exploits a real-world event, policy, or circumstance that assigns individuals to treatment and control conditions in a way that is plausibly random — or at least exogenous to the outcome of interest. Because the researcher does not control assignment, it occupies a middle ground between a true randomized controlled trial and purely observational research, offering stronger causal leverage than conventional observational designs when the as-if randomization assumption holds.A field experiment applies the logic of a randomized controlled trial in a naturally occurring, real-world environment rather than an artificial laboratory. Participants are randomly assigned to treatment and control conditions while going about everyday activities, allowing researchers to estimate causal effects with high internal validity while preserving a level of ecological realism that laboratory settings cannot offer. The design is especially prominent in economics, public health, political science, and development research.
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ScholarGate方法对比: Natural Experiment · Field Experiment. 于 2026-06-18 检索自 https://scholargate.app/zh/compare