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ARDL Bounds Test (Pesaran Bounds Test)×Model panelových dat s fixními efekty×
OborEkonometrieEkonometrie
RodinaRegression modelRegression model
Rok vzniku20012014
TvůrcePesaran, Shin & SmithHsiao (textbook treatment); within transformation of panel data
TypCointegration test / Autoregressive distributed lag modelPanel data regression
Původní zdrojPesaran, M. H., Shin, Y., & Smith, R. J. (2001). Bounds Testing Approaches to the Analysis of Level Relationships. Journal of Applied Econometrics, 16(3), 289–326. DOI ↗Hsiao, C. (2014). Analysis of Panel Data (3rd ed.). Cambridge University Press. DOI ↗
Další názvyPesaran bounds test, bounds testing approach, ARDL cointegration test, ARDL Sınır Testi (Pesaran Bounds Test)fixed effects model, within estimator, panel fixed-effects regression, Panel Veri — Sabit Etkiler Modeli
Příbuzné45
ShrnutíThe ARDL bounds test is an autoregressive distributed lag method that tests for a cointegrating (long-run level) relationship between time series, introduced by Pesaran, Shin and Smith in 2001. Unlike the Johansen procedure, it remains valid whether the variables are I(0), I(1) or a mix of the two, and it is more reliable than Johansen in small samples of roughly 30 to 80 observations.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).
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ScholarGatePorovnat metody: ARDL Bounds Test · Panel Fixed Effects. Získáno 2026-06-18 z https://scholargate.app/cs/compare