Regression modelEconometrics / time series

Nelinearni KPSS test

Nelinearni KPSS test proširuje klasični test stacionarnosti Kwiatkowski-Phillips-Schmidt-Shin modeliranjem nepoznatih glatkih strukturnih promena u determinističkom trendu pomoću Furijeove aproksimacije. Pod nultom hipotezom, serija je stacionarna oko fleksibilnog nelinearnog trenda, štiteći od lažnih nalaza o jedinici korena uzrokovanih promenama režima ili postepenim prelazima.

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Izvori

  1. Becker, R., Enders, W., & Lee, J. (2006). A stationarity test in the presence of an unknown number of smooth breaks. Journal of Time Series Analysis, 27(3), 381-409. DOI: 10.1111/j.1467-9892.2006.00478.x
  2. Enders, W., & Lee, J. (2012). A unit root test using a Fourier series to approximate smooth breaks. Oxford Bulletin of Economics and Statistics, 74(4), 574-599. DOI: 10.1111/j.1468-0084.2011.00662.x

Kako citirati ovu stranicu

ScholarGate. (2026, June 3). Nonlinear Kwiatkowski-Phillips-Schmidt-Shin Test. ScholarGate. https://scholargate.app/sr/econometrics/nonlinear-kpss-test

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Citirana u

ScholarGateNonlinear KPSS Test (Nonlinear Kwiatkowski-Phillips-Schmidt-Shin Test). Preuzeto 2026-06-15 sa https://scholargate.app/sr/econometrics/nonlinear-kpss-test · Skup podataka: https://doi.org/10.5281/zenodo.20539026