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| OLS con Fourier (Minimi Quadrati Ordinari Aumentati con Fourier)× | Test di causalità di Granger-Fourier× | |
|---|---|---|
| Campo | Econometria | Econometria |
| Famiglia | Regression model | Regression model |
| Anno di origine≠ | 2004 | 2016 |
| Ideatore≠ | Becker, Enders, and Hurn | Enders and Jones |
| Tipo≠ | Augmented linear regression | Causality test |
| Fonte seminale≠ | Becker, R., Enders, W., & Hurn, S. (2004). A general test for time dependence in parameters. Journal of Applied Econometrics, 19(7), 899–906. DOI ↗ | Enders, W., & Jones, P. (2016). Grain prices, oil prices, and multiple smooth breaks in a VAR. Studies in Nonlinear Dynamics and Econometrics, 20(4), 399–419. DOI ↗ |
| Alias | Fourier OLS, Fourier-augmented OLS, trigonometric OLS, smooth structural break OLS | Fourier Granger causality test, Enders-Jones Granger causality, smooth structural break Granger test, spectral Granger causality |
| Correlati | 6 | 6 |
| Sintesi≠ | Fourier OLS is an OLS regression extended by adding low-frequency trigonometric (sine and cosine) terms to the regressor matrix. These Fourier components approximate smooth, gradual structural changes in the regression relationship over time without requiring knowledge of the number, timing, or form of the breaks. | The Fourier Granger causality test extends the classic Granger causality framework by embedding low-frequency Fourier terms in the VAR equation, allowing the causal relationship to shift gradually over time without requiring the researcher to pre-specify the number or location of structural breaks. |
| ScholarGateInsieme di dati ↗ |
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