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Krahasoni metodat

Shqyrtoni metodat e zgjedhura krah për krah; rreshtat që ndryshojnë janë të theksuar.

Testi i Njësisë-Rrënjë (Unit-Root Test) i Panelit Levin-Lin-Chu (LLC)×Testi për rrënjë njësi të panelit Fisher×
FushaEkonometriEkonometri
FamiljaHypothesis testHypothesis test
Viti i origjinës20021999
KrijuesiAndrew Levin, Chien-Fu Lin & Chia-Shang ChuG. S. Maddala & Shaowen Wu
LlojiPanel unit-root test (homogeneous alternative)Nonparametric combination-of-p-values panel unit-root test
Burimi themeluesLevin, A., Lin, C.-F., & Chu, C.-S. J. (2002). Unit root tests in panel data: asymptotic and finite-sample properties. Journal of Econometrics, 108(1), 1–24. DOI ↗Maddala, G. S., & Wu, S. (1999). A comparative study of unit root tests with panel data and a new simple test. Oxford Bulletin of Economics and Statistics, 61(S1), 631–652. DOI ↗
Emërtime të tjeraLLC Test, Panel Unit-Root Test (Homogeneous), Levin-Lin Unit-Root Test, Panel Birim Kök Testi (LLC)Maddala-Wu Test, Fisher-type Panel Unit-Root Test, MW Panel Unit-Root Test, Fisher Panel Birim Kök Testi
Të lidhura33
PërmbledhjaThe Levin-Lin-Chu (LLC) test, introduced by Levin, Lin, and Chu (2002), is a first-generation panel unit-root test that pools cross-sectional information to test whether all units in a panel share a common autoregressive unit root. It is widely used in applied economics and finance when researchers work with balanced or near-balanced panels and require a powerful test against a homogeneous stationary alternative.The Fisher-type (Maddala-Wu) panel unit-root test, introduced in 1999, combines individual-level ADF unit-root p-values using Fisher's chi-squared meta-analytic framework to produce a single panel-level test statistic. Unlike the Levin-Lin-Chu approach, it does not impose a common autoregressive parameter across cross-sections, making it a natural choice for heterogeneous panels in macroeconomics, finance, and regional economics.
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ScholarGateKrahasoni metodat: Levin-Lin-Chu Test · Fisher Panel Unit-Root Test. Marrë më 2026-06-19 nga https://scholargate.app/sq/compare