ScholarGate
Assistent

Sammenlign metoder

Gjennomgå de valgte metodene side om side; rader som avviker, er uthevet.

Panel Engle-Granger kointegrasjonstest×Engle-Granger kointegrasjonstest×
FagfeltØkonometriØkonometri
FamilieRegression modelRegression model
Opprinnelsesår19991987
OpphavspersonPedroni (1999), extending Engle & Granger (1987)Robert F. Engle and Clive W. J. Granger
TypeCointegration testCointegration test
Opprinnelig kildePedroni, P. (1999). Critical values for cointegration tests in heterogeneous panels with multiple regressors. Oxford Bulletin of Economics and Statistics, 61(S1), 653-670. DOI ↗Engle, R. F., & Granger, C. W. J. (1987). Co-integration and error correction: Representation, estimation, and testing. Econometrica, 55(2), 251–276. DOI ↗
Aliaspanel cointegration test, panel EG cointegration, Pedroni cointegration test, residual-based panel cointegrationEG cointegration test, Engle-Granger two-step method, residual-based cointegration test, EG test
Relaterte55
SammendragThe Panel Engle-Granger cointegration test extends the classic two-step Engle-Granger procedure to panel data, allowing researchers to detect long-run equilibrium relationships among integrated variables across multiple cross-sectional units simultaneously. Pedroni (1999) developed panel statistics that pool information across units while allowing heterogeneous short-run dynamics and individual-specific intercepts and trends.The Engle-Granger two-step method tests whether two or more non-stationary I(1) time series share a common stochastic trend — that is, whether a linear combination of them is stationary. If cointegration is confirmed, an error-correction model (ECM) can be estimated to capture both short-run dynamics and long-run equilibrium adjustment.
ScholarGateDatasett
  1. v1
  2. 2 Kilder
  3. PUBLISHED
  1. v1
  2. 2 Kilder
  3. PUBLISHED

Gå til søk Last ned lysbilder

ScholarGateSammenlign metoder: Panel Engle-Granger Cointegration · Engle-Granger Cointegration Test. Hentet 2026-06-18 fra https://scholargate.app/no/compare