방법 비교
선택한 방법을 나란히 검토하세요. 서로 다른 행은 강조 표시됩니다.
| 비선형 고정 효과 모형× | 고정 효과 모형 (Fixed Effects Model)× | |
|---|---|---|
| 분야 | 계량경제학 | 계량경제학 |
| 계열 | Regression model | Regression model |
| 기원 연도≠ | 1984 | 1971–1978 |
| 창시자≠ | Gary Chamberlain | Mundlak (1978); Nerlove (1971); classical panel econometrics |
| 유형≠ | Panel data estimator | Panel regression estimator |
| 원전≠ | Chamberlain, G. (1984). Panel data. In Z. Griliches & M. D. Intriligator (Eds.), Handbook of Econometrics (Vol. 2, pp. 1247–1318). Elsevier. link ↗ | Baltagi, B. H. (2021). Econometric Analysis of Panel Data (6th ed.). Springer. ISBN: 978-3030538002 |
| 별칭 | nonlinear FE model, NLFE, conditional fixed effects model, incidental parameters model | FE model, within estimator, least squares dummy variable, LSDV regression |
| 관련 | 5 | 5 |
| 요약≠ | The nonlinear fixed effects model extends fixed effects panel estimation to outcomes governed by nonlinear response functions — such as binary, count, or censored outcomes — while absorbing unobserved individual heterogeneity through unit-specific intercepts. Key special cases include conditional logit for binary outcomes and Poisson fixed effects for count data. | 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. |
| ScholarGate데이터셋 ↗ |
|
|