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| 패널 기반 확인적 연구× | 고정 효과 모형 (Fixed Effects Model)× | |
|---|---|---|
| 분야≠ | 연구설계 | 계량경제학 |
| 계열≠ | Process / pipeline | Regression model |
| 기원 연도≠ | 1960s–1980s (formalization of panel methods with confirmatory inference) | 1971–1978 |
| 창시자≠ | Multiple contributors; panel data analysis formalized by Yair Mundlak, Zvi Griliches, and Edwin Kuh in the 1960s–1970s; confirmatory integration developed across econometrics and SEM traditions | Mundlak (1978); Nerlove (1971); classical panel econometrics |
| 유형≠ | Quantitative longitudinal research design | Panel regression estimator |
| 원전≠ | Hsiao, C. (2003). Analysis of Panel Data (2nd ed.). Cambridge University Press. ISBN: 978-0521522717 | Baltagi, B. H. (2021). Econometric Analysis of Panel Data (6th ed.). Springer. ISBN: 978-3030538002 |
| 별칭 | confirmatory panel design, longitudinal confirmatory study, panel confirmatory analysis, PBCR | FE model, within estimator, least squares dummy variable, LSDV regression |
| 관련≠ | 4 | 5 |
| 요약≠ | Panel-based confirmatory research combines the longitudinal power of panel data — repeated observations of the same units over time — with a pre-specified, hypothesis-driven analytic framework. Instead of exploring patterns post-hoc, the researcher commits to theoretical propositions before data collection and uses the panel structure to test causal or directional claims while controlling for unobserved time-invariant confounders. It is widely used in economics, sociology, epidemiology, and organizational research. | The fixed effects (FE) model is the workhorse estimator for panel data when unobserved unit-specific characteristics are suspected to correlate with the regressors. By absorbing each entity's time-invariant heterogeneity into a separate intercept, FE isolates the causal effect of within-unit variation and eliminates omitted-variable bias from time-constant confounders. |
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