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Пространствен лаг модел (SAR / Spatial Autoregressive)×Модел с фиксирани ефекти за панелни данни×
ОбластПространствен анализИконометрия
СемействоRegression modelRegression model
Година на възникване19882014
СъздателAnselin (textbook formalisation); LeSage & PaceHsiao (textbook treatment); within transformation of panel data
ТипSpatial autoregressive regressionPanel data regression
Основополагащ източникAnselin, L. (1988). Spatial Econometrics: Methods and Models. Kluwer Academic. DOI ↗Hsiao, C. (2014). Analysis of Panel Data (3rd ed.). Cambridge University Press. DOI ↗
Други названияSAR model, spatial autoregressive model, spatial lag, Uzamsal Gecikme Modeli (SAR / Spatial Lag)fixed effects model, within estimator, panel fixed-effects regression, Panel Veri — Sabit Etkiler Modeli
Свързани55
РезюмеThe Spatial Lag Model is an autoregressive regression that assumes spatial dependence in the dependent variable itself: the outcome values of neighbouring units enter the model as an explanatory term (ρWy). It was formalised in Anselin's Spatial Econometrics (1988) and developed further by LeSage and Pace (2009), and it decomposes spillover effects into direct, indirect, and total impacts.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 от данни
  1. v1
  2. 2 Източници
  3. PUBLISHED
  1. v1
  2. 2 Източници
  3. PUBLISHED

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ScholarGateСравнение на методи: Spatial Lag Model · Panel Fixed Effects. Извлечено на 2026-06-17 от https://scholargate.app/bg/compare