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| 차단된 자연 실험× | 이중차분법 (Diff-in-Diff)× | |
|---|---|---|
| 분야≠ | 실험설계 | 계량경제학 |
| 계열≠ | Process / pipeline | Regression model |
| 기원 연도≠ | Blocking: 1935; natural experiments as formal causal framework: 1990s–2000s | 1994 |
| 창시자≠ | Combines Fisher's blocking principle (1935) with natural experiment methodology formalized by Angrist and Pischke (2009) | Card & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment) |
| 유형≠ | Quasi-experimental causal design | Causal inference / panel regression |
| 원전 | Angrist, J. D., & Pischke, J.-S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355 | Angrist, J. D., & Pischke, J.-S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355 |
| 별칭 | stratified natural experiment, block-stratified quasi-experiment, natural experiment with blocking | diff-in-diff, DiD, Farkların Farkı (Diff-in-Diff) |
| 관련≠ | 3 | 5 |
| 요약≠ | A blocked natural experiment is a quasi-experimental design that exploits naturally occurring, researcher-uncontrolled variation in treatment assignment while pre-stratifying (blocking) units on key observed covariates. Blocking absorbs between-stratum variance, improves statistical precision, and strengthens the plausibility of the as-if-random assumption within each block. The design draws on Fisher's blocking principle and the natural experiment tradition in economics and epidemiology. | 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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