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フーリエOLS(フーリエ拡張最小二乗法)×構造的ブレークOLS×
分野計量経済学計量経済学
系統Regression modelRegression model
提唱年20041960–1998
提唱者Becker, Enders, and HurnChow (1960) for the breakpoint test; Bai & Perron (1998) for multiple break estimation
種類Augmented linear regressionSegmented linear regression
原典Becker, R., Enders, W., & Hurn, S. (2004). A general test for time dependence in parameters. Journal of Applied Econometrics, 19(7), 899–906. DOI ↗Bai, J., & Perron, P. (1998). Estimating and testing linear models with multiple structural changes. Econometrica, 66(1), 47–78. DOI ↗
別名Fourier OLS, Fourier-augmented OLS, trigonometric OLS, smooth structural break OLSOLS with structural breaks, piecewise OLS, regime-switching OLS, breakpoint regression
関連66
概要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.Structural Break OLS extends ordinary least squares to allow regression coefficients to shift at one or more breakpoints in time or across regimes. Rather than forcing a single coefficient vector across the entire sample, the model partitions the data and estimates a separate OLS regression within each segment, making it appropriate when economic relationships are suspected to change due to policy shifts, crises, or other structural events.
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ScholarGate手法を比較: Fourier OLS · Structural Break OLS. 2026-06-18に以下より取得 https://scholargate.app/ja/compare