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傅里叶普通最小二乘法(傅里叶增强普通最小二乘法)×傅里叶ARDL边界检验×
领域计量经济学计量经济学
方法族Regression modelRegression model
起源年份20042001-2021
提出者Becker, Enders, and HurnPesaran, Shin & Smith (ARDL foundation); Fourier extension by Nazlioglu and related authors
类型Augmented linear regressionCointegration / bounds test
开创性文献Becker, R., Enders, W., & Hurn, S. (2004). A general test for time dependence in parameters. Journal of Applied Econometrics, 19(7), 899–906. DOI ↗Nazlioglu, S., Gormus, A., & Soytas, U. (2021). Oil prices and monetary policy in emerging markets: structural breaks, asymmetries, and Fourier approximations. Energy Economics, 95, 105119. link ↗
别名Fourier OLS, Fourier-augmented OLS, trigonometric OLS, smooth structural break OLSFourier ARDL, Fourier bounds testing, ARDL with Fourier approximation, F-ARDL cointegration test
相关65
摘要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 ARDL bounds test augments the Pesaran-Shin-Smith cointegration framework with trigonometric (Fourier) terms that capture gradual, smooth structural breaks in the data-generating process. It tests for a long-run level relationship between variables without requiring the researcher to specify the number, timing, or form of structural breaks in advance.
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ScholarGate方法对比: Fourier OLS · Fourier ARDL Bounds Test. 于 2026-06-19 检索自 https://scholargate.app/zh/compare