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| 差分の差 (Difference-in-Differences, DiD)× | フィールド実験× | |
|---|---|---|
| 分野≠ | 計量経済学 | 実験計画法 |
| 系統≠ | Regression model | Process / pipeline |
| 提唱年≠ | 1994 | 1920s–1930s (agriculture); 1990s–2000s (social sciences) |
| 提唱者≠ | Card & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment) | Formalized by R. A. Fisher (1935); systematized in social sciences by Harrison & List (2004) |
| 種類≠ | Causal inference / panel regression | Experimental design |
| 原典≠ | Angrist, J. D., & Pischke, J.-S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355 | Harrison, G. W., & List, J. A. (2004). Field experiments. Journal of Economic Literature, 42(4), 1009–1055. DOI ↗ |
| 別名≠ | diff-in-diff, DiD, Farkların Farkı (Diff-in-Diff) | field trial, natural field experiment, randomized field experiment, field RCT |
| 関連 | 5 | 5 |
| 概要≠ | 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. | 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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