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| 다요인 자연 실험× | 이중차분법 (Diff-in-Diff)× | |
|---|---|---|
| 분야≠ | 실험설계 | 계량경제학 |
| 계열≠ | Process / pipeline | Regression model |
| 기원 연도≠ | 1920s (factorial origins, Fisher); natural experiment formalization 1990s–2000s; factorial natural experiment usage widespread 2000s–present | 1994 |
| 창시자≠ | Extension of natural experiment tradition (Dunning, Angrist & Pischke) combined with factorial design logic (Fisher) | Card & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment) |
| 유형≠ | Quasi-experimental research design | Causal inference / panel regression |
| 원전≠ | Dunning, T. (2012). Natural Experiments in the Social Sciences: A Design-Based Approach. Cambridge University Press. ISBN: 978-1107698000 | Angrist, J. D., & Pischke, J.-S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355 |
| 별칭 | factorial quasi-experiment, multi-factor natural experiment, factorial exogenous variation design | diff-in-diff, DiD, Farkların Farkı (Diff-in-Diff) |
| 관련≠ | 4 | 5 |
| 요약≠ | A factorial natural experiment exploits naturally occurring exogenous variation across two or more factors simultaneously, allowing researchers to estimate main effects and interactions without random assignment. Natural events, policy changes, or institutional rules create treatment conditions that approximate a factorial structure, enabling causal inference in observational settings where controlled experimentation is infeasible or unethical. | Difference-in-Differences is a causal-inference method that estimates the effect of an intervention by comparing how a treatment group and a control group change over time. Made famous by Card and Krueger's 1994 minimum-wage study and developed in Angrist and Pischke's Mostly Harmless Econometrics, it isolates the treatment effect as the difference between the two groups' before-after changes. |
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