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| Παλινδρόμηση Κατωφλίου× | Παλινδρόμηση Ελαχίστων Τετραγώνων (OLS)× | |
|---|---|---|
| Πεδίο | Οικονομετρία | Οικονομετρία |
| Οικογένεια | Regression model | Regression model |
| Έτος προέλευσης≠ | 2000 | 2019 |
| Δημιουργός≠ | Bruce E. Hansen | Wooldridge (textbook treatment); classical least squares |
| Τύπος≠ | Nonlinear regime-switching regression | Linear regression |
| Θεμελιώδης πηγή≠ | Hansen, B. E. (2000). Sample Splitting and Threshold Estimation. Econometrica, 68(3), 575-603. DOI ↗ | Wooldridge, J. M. (2019). Introductory Econometrics: A Modern Approach (7th ed.). Cengage Learning. ISBN: 978-1337558860 |
| Εναλλακτικές ονομασίες | threshold model, regime-switching regression, sample splitting model, Eşik Değer Regresyonu (Threshold Regression) | ordinary least squares, classical linear regression, linear regression, en küçük kareler regresyonu |
| Συναφείς | 5 | 5 |
| Σύνοψη≠ | Threshold regression is a nonlinear, regime-switching model in which the regression parameters take different values above and below an estimated threshold value of a threshold variable. The sample-splitting and threshold-estimation framework was developed by Bruce E. Hansen (2000) and is widely used for time-series and panel data with structural breaks and regime-dependent relationships. | Ordinary Least Squares is the classical linear regression method that explains a continuous outcome as a linear combination of predictors. It estimates the coefficients by minimising the sum of squared residuals, and under the Gauss-Markov assumptions these estimates are the best linear unbiased estimator (BLUE). |
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