方法证据记录
Fourier OLS
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.
源记录
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Fourier-Augmented Ordinary Least Squares
分类方法记录 · regression-model / econometrics
- Becker, R., Enders, W., & Hurn, S. (2004). A general test for time dependence in parameters. Journal of Applied Econometrics, 19(7), 899–906. · DOI 10.1002/jae.751
- Enders, W., & Lee, J. (2012). A unit root test using a Fourier series to approximate smooth breaks. Oxford Bulletin of Economics and Statistics, 74(4), 574–599. · DOI 10.1111/j.1468-0084.2011.00662.x
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