مقایسهٔ روشها
روشهای انتخابی خود را کنار هم مرور کنید؛ ردیفهای متفاوت برجسته شدهاند.
| رگرسیون فوریه (رگرسیون حداقل مربعات معمولی افزوده شده با فوریه)× | رگرسیون حداقل مربعات معمولی با پارامترهای متغیر در طول زمان (TVP-OLS)× | |
|---|---|---|
| حوزه | اقتصادسنجی | اقتصادسنجی |
| خانواده | Regression model | Regression model |
| سال پیدایش≠ | 2004 | 1976 |
| پدیدآور≠ | Becker, Enders, and Hurn | Cooley & Prescott (1976); further developed by Harvey (1990) |
| نوع≠ | Augmented linear regression | Time-series regression with evolving coefficients |
| منبع بنیادین≠ | Becker, R., Enders, W., & Hurn, S. (2004). A general test for time dependence in parameters. Journal of Applied Econometrics, 19(7), 899–906. DOI ↗ | Cooley, T. F., & Prescott, E. C. (1976). Estimation in the Presence of Stochastic Parameter Variation. Econometrica, 44(1), 167–184. DOI ↗ |
| نامهای دیگر | Fourier OLS, Fourier-augmented OLS, trigonometric OLS, smooth structural break OLS | TVP-OLS, time-varying coefficient regression, rolling OLS, locally weighted OLS |
| مرتبط≠ | 6 | 4 |
| خلاصه≠ | 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. | Time-Varying Parameter OLS extends classical ordinary least squares to allow regression coefficients to change over time. Instead of assuming fixed slopes throughout the sample, the model treats each coefficient as a stochastic process, tracking how economic relationships evolve — making it well-suited for analysing structural change in time-series data. |
| ScholarGateمجموعهداده ↗ |
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