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| Test di radice unitaria Bayesiano Phillips-Perron× | Test di radice unitaria di Dickey-Fuller aumentato (ADF)× | |
|---|---|---|
| Campo | Econometria | Econometria |
| Famiglia | Regression model | Regression model |
| Anno di origine≠ | 1988 / early 1990s | 1979–1984 |
| Ideatore≠ | Phillips & Perron (classical test, 1988); Bayesian framework: Sims & Uhlig (1991) | Said & Dickey (1984); building on Dickey & Fuller (1979) |
| Tipo≠ | Unit root test (Bayesian) | Hypothesis test (unit root) |
| Fonte seminale≠ | Phillips, P. C. B., & Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75(2), 335-346. DOI ↗ | Said, S. E., & Dickey, D. A. (1984). Testing for unit roots in autoregressive-moving average models of unknown order. Biometrika, 71(3), 599–607. DOI ↗ |
| Alias | Bayesian PP test, Bayesian Phillips-Perron test, Bayesian nonparametric unit root test, Bayes PP unit root | ADF test, ADF unit root test, Dickey-Fuller test (augmented), Said-Dickey test |
| Correlati | 5 | 5 |
| Sintesi≠ | The Bayesian Phillips-Perron unit root test combines the nonparametric long-run variance correction of the classical Phillips-Perron test with a Bayesian inferential framework. Instead of a p-value, it yields a posterior probability or Bayes factor quantifying evidence for or against a unit root, allowing researchers to incorporate prior economic knowledge and obtain probability statements directly about the persistence of a time series. | The Augmented Dickey-Fuller test is the standard procedure for determining whether a univariate time series contains a unit root — that is, whether the series is non-stationary. It extends the original Dickey-Fuller test by including lagged difference terms that absorb serial correlation in the residuals, making the test valid for a wide range of time-series processes encountered in economics and finance. |
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