ScholarGate
सहायक

विधियों की तुलना करें

चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।

पैनल फिलिप्स-पेरॉन यूनिट रूट टेस्ट×Panel ARDL सीमा परीक्षण (Panel ARDL Bounds Test)×
क्षेत्रअर्थमितिअर्थमिति
परिवारRegression modelRegression model
उद्भव वर्ष1988 (original PP); panel adaptation widely established by 20032001
प्रवर्तकPhillips & Perron (1988); panel extension by Im, Pesaran & Shin (2003)Pesaran, Shin & Smith
प्रकारNonparametric unit root testBounds test for cointegration
मौलिक स्रोतIm, K. S., Pesaran, M. H., & Shin, Y. (2003). Testing for unit roots in heterogeneous panels. Journal of Econometrics, 115(1), 53-74. DOI ↗Pesaran, 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 ↗
उपनामPanel PP test, Phillips-Perron panel unit root, Im-Pesaran-Shin PP panel test, panel nonparametric unit root testPanel ARDL, Panel bounds testing, Panel ARDL cointegration, Panel PSS bounds test
संबंधित66
सारांशThe Panel PP unit root test extends the nonparametric Phillips-Perron correction for serial correlation to a multi-individual panel setting. It tests the null hypothesis that all cross-sectional units contain a unit root, using a pooled or averaged PP-type statistic that is robust to heteroscedastic and serially correlated errors without requiring explicit lag selection.The Panel ARDL Bounds Test extends the Pesaran, Shin and Smith (2001) bounds testing procedure to panel data, allowing researchers to test for long-run cointegrating relationships between variables without requiring all series to be integrated of the same order. It is widely used in macro-panel studies where variables may be I(0), I(1), or a mixture of both.
ScholarGateडेटासेट
  1. v1
  2. 2 स्रोत
  3. PUBLISHED
  1. v1
  2. 2 स्रोत
  3. PUBLISHED

खोज पर जाएँ स्लाइड डाउनलोड करें

ScholarGateविधियों की तुलना करें: Panel PP unit root test · Panel ARDL Bounds Test. 2026-06-18 को यहाँ से प्राप्त https://scholargate.app/hi/compare