Comparar métodos
Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.
| Teste de Cointegração de Johansen Robusto× | Teste de Cointegração de Engle-Granger× | |
|---|---|---|
| Área | Econometria | Econometria |
| Família | Regression model | Regression model |
| Ano de origem≠ | 1988–2010 | 1987 |
| Autor original≠ | Johansen (1988, 1991); robust extensions by Cavaliere, Rahbek, Taylor (2010) and others | Robert F. Engle and Clive W. J. Granger |
| Tipo≠ | Cointegration rank test (robust variant) | Cointegration test |
| Fonte seminal≠ | Johansen, S. (1991). Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models. Econometrica, 59(6), 1551–1580. 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 nomes | outlier-robust Johansen test, robust trace test, robust maximum eigenvalue test, robust cointegration rank test | EG cointegration test, Engle-Granger two-step method, residual-based cointegration test, EG test |
| Relacionados | 5 | 5 |
| Resumo≠ | The Robust Johansen Cointegration test extends the classical Johansen (1988, 1991) likelihood-ratio framework for determining the cointegrating rank of a multivariate I(1) system to settings where standard Gaussian assumptions fail — in particular when the data exhibit outliers, fat-tailed innovations, or conditional heteroskedasticity. Robust modifications adjust residuals, re-weight observations, or bootstrap critical values so that rank inference remains valid under these violations. | 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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