Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Модель нелінійної АРДЛ (NARDL)× | Квантильна регресія× | |
|---|---|---|
| Галузь | Економетрика | Економетрика |
| Родина | Regression model | Regression model |
| Рік появи≠ | 2014 | 1978 |
| Автор методу≠ | Shin, Yu & Greenwood-Nimmo | Koenker & Bassett |
| Тип≠ | Nonlinear cointegration model | Conditional quantile regression |
| Основоположне джерело≠ | Shin, Y., Yu, B., & Greenwood-Nimmo, M. (2014). Modelling asymmetric cointegration and dynamic multipliers in a nonlinear ARDL framework. In R. C. Sickles & W. C. Horrace (Eds.), Festschrift in Honor of Peter Schmidt: Econometric Methods and Applications (pp. 281–314). Springer. link ↗ | Koenker, R. & Bassett, G., Jr. (1978). Regression Quantiles. Econometrica, 46(1), 33-50. DOI ↗ |
| Інші назви≠ | NARDL, nonlinear bounds test, asymmetric ARDL, asymmetric cointegration model | conditional quantile regression, regression quantiles, Kantil Regresyon |
| Пов'язані | 5 | 5 |
| Підсумок≠ | The Nonlinear ARDL (NARDL) model extends the linear ARDL bounds-testing framework to allow asymmetric long-run and short-run relationships. By decomposing the regressor into cumulative positive and negative partial sums, it tests whether increases and decreases in a variable exert different effects on the outcome — a feature especially relevant in financial and energy economics where positive and negative shocks rarely cancel out symmetrically. | Quantile regression models conditional quantiles of an outcome - the median, the 25th or 75th percentile, and so on - rather than the conditional mean that OLS targets. Introduced by Koenker and Bassett in 1978, it reveals how predictors act across the whole distribution, including its tails. |
| ScholarGateНабір даних ↗ |
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