방법 비교
선택한 방법을 나란히 검토하세요. 서로 다른 행은 강조 표시됩니다.
| 불연속 차이 설계 (Difference-in-Discontinuities Design)× | 패널 데이터 고정 효과 모형× | |
|---|---|---|
| 분야≠ | 인과추론 | 계량경제학 |
| 계열 | Regression model | Regression model |
| 기원 연도≠ | 2016 | 2014 |
| 창시자≠ | Grembi, Nannicini & Troiano | Hsiao (textbook treatment); within transformation of panel data |
| 유형≠ | Hybrid quasi-experimental causal design (RDD + DID) | Panel data regression |
| 원전≠ | Grembi, V., Nannicini, T. & Troiano, U. (2016). Do Fiscal Rules Matter? A Difference-in-Discontinuities Design. American Economic Journal: Applied Economics, 8(3), 1-30. DOI ↗ | Hsiao, C. (2014). Analysis of Panel Data (3rd ed.). Cambridge University Press. DOI ↗ |
| 별칭≠ | diff-in-disc, DiD-RDD, Süreksizliklerde Fark (Difference-in-Discontinuities) | fixed effects model, within estimator, panel fixed-effects regression, Panel Veri — Sabit Etkiler Modeli |
| 관련 | 5 | 5 |
| 요약≠ | Difference-in-Discontinuities is a hybrid quasi-experimental design that fuses regression discontinuity (RDD) with difference-in-differences (DID), introduced by Grembi, Nannicini and Troiano (2016). It compares the discontinuity at the same cutoff value across two periods to isolate a causal effect. | The Panel Data Fixed Effects model estimates relationships from panel data (the same units observed over several time periods) while controlling for unit- and/or time-specific effects, supporting causal inference. It is developed as the within estimator in standard treatments such as Hsiao's Analysis of Panel Data (2014). |
| ScholarGate데이터셋 ↗ |
|
|