So sánh phương pháp

	Hồi quy nhị thức âm	Mô hình Hiệu ứng Cố định Dữ liệu Bảng
Lĩnh vực	Kinh tế lượng	Kinh tế lượng
Họ	Regression model	Regression model
Năm ra đời	2011	2014
Người khởi xướng	Hilbe (textbook treatment); generalized linear model framework	Hsiao (textbook treatment); within transformation of panel data
Loại	Generalized linear model for count data	Panel data regression
Công trình gốc	Hilbe, J. M. (2011). Negative Binomial Regression (2nd ed.). Cambridge University Press.	Hsiao, C. (2014). Analysis of Panel Data (3rd ed.). Cambridge University Press.
Tên gọi khác	NB regression, NB2 regression, negatif binom regresyonu	fixed effects model, within estimator, panel fixed-effects regression, Panel Veri — Sabit Etkiler Modeli
Liên quan	4	5
Tóm tắt	Negative Binomial Regression is a generalized linear model for count outcomes that extends Poisson regression to handle overdispersion, where the variance of the counts exceeds their mean. Developed in the GLM tradition and treated in depth by Hilbe (2011), it adds a dispersion parameter so that inference stays valid when Poisson would understate the spread of the data.	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).