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Екстраполятор перших різниць×Модель фіксованих ефектів панельних даних×
ГалузьЕконометрикаЕконометрика
РодинаRegression modelRegression model
Рік появи20102014
Автор методуJeffrey Wooldridge (treatment)Hsiao (textbook treatment); within transformation of panel data
ТипPanel data estimatorPanel data regression
Основоположне джерелоWooldridge, J. M. (2010). Econometric Analysis of Cross Section and Panel Data (2nd ed.). MIT Press. ISBN: 978-0-262-23258-8Hsiao, C. (2014). Analysis of Panel Data (3rd ed.). Cambridge University Press. DOI ↗
Інші назвиFD Estimator, First-Difference Panel Estimator, First-Difference OLS, Birinci Fark Tahmincisifixed effects model, within estimator, panel fixed-effects regression, Panel Veri — Sabit Etkiler Modeli
Пов'язані25
ПідсумокThe First-Difference (FD) estimator is a panel data method that eliminates unobserved, time-invariant individual heterogeneity by subtracting each unit's observation in period t-1 from its observation in period t. By operating on changes rather than levels, FD removes any fixed individual effect that would otherwise confound causal inference. It is widely used in labor economics, program evaluation, and applied microeconomics whenever researchers suspect persistent unobserved differences across individuals, firms, or countries.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).
ScholarGateНабір даних
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ScholarGateПорівняння методів: First-Difference Estimator · Panel Fixed Effects. Отримано 2026-06-15 з https://scholargate.app/uk/compare