方法证据记录
Structural Break Quantile-on-Quantile Regression
Structural Break Quantile-on-Quantile Regression (SB-QQR) extends the quantile-on-quantile framework of Sim and Zhou (2015) by allowing regression slopes to differ across regimes separated by structural breaks. It maps how the effect of a predictor's quantile on an outcome's quantile changes not only across the full distributional space but also across distinct historical periods or policy regimes.
源记录
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Structural Break Quantile-on-Quantile Regression
分类方法记录 · regression-model / econometrics
- Sim, N., and Zhou, H. (2015). Oil prices, US stock return, and the dependence between their quantiles. Journal of Banking and Finance, 55, 1-8. · DOI 10.1016/j.jbankfin.2015.01.013
- Bai, J., and Perron, P. (1998). Estimating and testing linear models with multiple structural changes. Econometrica, 66(1), 47-78. · DOI 10.2307/2998540
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