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Teste de Cointegração de Painel de Engle-Granger×Teste de Cointegração de Engle-Granger×
ÁreaEconometriaEconometria
FamíliaRegression modelRegression model
Ano de origem19991987
Autor originalPedroni (1999), extending Engle & Granger (1987)Robert F. Engle and Clive W. J. Granger
TipoCointegration testCointegration test
Fonte seminalPedroni, 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 ↗
Outros nomespanel 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
Relacionados55
ResumoThe 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.
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ScholarGateComparar métodos: Panel Engle-Granger Cointegration · Engle-Granger Cointegration Test. Recuperado em 2026-06-18 de https://scholargate.app/pt/compare