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Тест причинности по Грейнджеру на панельных данных×Панельный тест Йохансена на коинтеграцию×
ОбластьЭконометрикаЭконометрика
СемействоRegression modelRegression model
Год появления1988–20122001
Автор методаHoltz-Eakin, Newey & Rosen (1988); Dumitrescu & Hurlin (2012)Larsson, Lyhagen & Lothgren (building on Johansen 1988/1991)
ТипCausality testPanel cointegration test
Основополагающий источникDumitrescu, E.-I., & Hurlin, C. (2012). Testing for Granger non-causality in heterogeneous panels. Economic Modelling, 29(4), 1450–1460. DOI ↗Larsson, R., Lyhagen, J., & Lothgren, M. (2001). Likelihood-based cointegration tests in heterogeneous panels. Econometrics Journal, 4(1), 109–142. DOI ↗
Другие названияpanel causality test, Dumitrescu-Hurlin test, heterogeneous panel causality, panel Granger testpanel Johansen test, Larsson-Lyhagen-Lothgren test, LLL panel cointegration, panel trace test
Связанные55
СводкаThe Panel Granger Causality test examines whether past values of one variable help predict another variable across multiple cross-sectional units observed over time. It extends the classical Granger causality framework to panel data, accounting for cross-sectional heterogeneity and enabling more powerful inference by pooling information across units.The Panel Johansen cointegration test extends Johansen's maximum-likelihood framework to panel data, allowing researchers to test whether multiple non-stationary variables share long-run equilibrium relationships across cross-sectional units. It pools the likelihood-ratio statistics from individual Johansen tests and compares the standardised average against a standard normal distribution, yielding greater power than single-country approaches.
ScholarGateНабор данных
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  2. 2 Источники
  3. PUBLISHED
  1. v1
  2. 2 Источники
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ScholarGateСравнение методов: Panel Granger Causality · Panel Johansen Cointegration. Получено 2026-06-18 из https://scholargate.app/ru/compare