ScholarGate
Ассистент

Сравнение методов

Просматривайте выбранные методы рядом; строки с различиями подсвечены.

Панельные инструментальные переменные (Панельные IV / 2МНК)×Модель с фиксированными эффектами для панельных данных×
ОбластьПричинно-следственный выводЭконометрика
СемействоRegression modelRegression model
Год появления1978-19912014
Автор методаHausman (1978); Anderson & Hsiao (1982); Arellano & Bond (1991)Hsiao (textbook treatment); within transformation of panel data
ТипCausal inference / panel regressionPanel data regression
Основополагающий источникArellano, M., & Bond, S. (1991). Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. Review of Economic Studies, 58(2), 277-297. DOI ↗Hsiao, C. (2014). Analysis of Panel Data (3rd ed.). Cambridge University Press. DOI ↗
Другие названияPanel IV, Panel 2SLS, Within-IV, Fixed-Effects IVfixed effects model, within estimator, panel fixed-effects regression, Panel Veri — Sabit Etkiler Modeli
Связанные45
СводкаPanel data instrumental variables combines the bias-correcting power of instrumental variables (IV) with the within-unit variation exploited by panel data methods. It addresses endogeneity — omitted variables, reverse causation, or measurement error — in longitudinal settings where observations are repeated across units and time. Seminal contributions come from Hausman (1978) on specification testing and Arellano and Bond (1991) on GMM-based panel IV.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).
ScholarGateНабор данных
  1. v1
  2. 2 Источники
  3. PUBLISHED
  1. v1
  2. 2 Источники
  3. PUBLISHED

Перейти к поиску Скачать слайды

ScholarGateСравнение методов: Panel Data Instrumental Variables · Panel Fixed Effects. Получено 2026-06-17 из https://scholargate.app/ru/compare