To systematically analyze how the quantiles of electric vehicles affect the quantiles of CO2 emissions, this study employs the quantile-on-quantile (QQ) regression approach. The empirical results confirm the ex
The quantile-on-quantile regression (QQR) approach presented by Sim and Zhou (2015) bridges the shortcomings of the above methods effectively. On one hand, the QQR method avoids the errors of artificial model setting because of the nonparametric attribute. On the other hand, the interference ...
Impact of dependence in river flow data on flood frequency analysis based on regression in quantile plots: Analysis and solutionsdependence in qq plotsextreme value analysisreturn levels plotQuantile-quantile plots (QQ plots) are often applied to investigate tail behavior in extreme value analysis. ...
In doing so, we apply panel quantile regression (PQR). The empirical findings delineate that EPU has a negative impact on GGDP, whereas IQ and RENE enhance the GGDP in E-7 countries. Based on the outcomes, this study suggests policy implications for achieving targets of the SDG 07, SDG ...
Impact of dependence in river flow data on flood frequency analysis based on regression in quantile plots: Analysis and solutionsdoi:10.1029/2010WR010160dependenceinqqplotsextremevalueanalysisreturnlevelsplot[1]聽Quantile-quantile plots (QQ plots) are often applied to investigate tail behavior in extreme...
Quantile-on-Quantile regressionQuantile causalityChinaChina has remained a growth engine for the global economy for the?last several years. In this study, we assess the impact of COVID-19 on China's business and economic conditions; employing the quantile-on-quantile (QQ) regression and the ...
Quantile-on-quantile regression (QQ)In recent years, Islamic finance has become increasingly influential, especially Islamic stocks, which have created huge investment attractiveness. At the same time, the financialization of oil has made the international oil market increasingly uncertain and more likely...
We examine the relationship between income inequality and tourism earnings in Fiji between 1980 and 2020 using the multivariate quantile-on-quantile regression (QQR) methodology. Unlike traditional approaches, the QQR methodology provides a comprehensive and detailed estimate of the dependency structure ...
From a wavelet-based quantile-on-quantile regression perspective 2022, Energy Citation Excerpt : Fourth, since we consider the impacts of temporal lags in the independent variable on the contemporaneous dependent variable, the QQ method ameliorates the endogeneity problem regarding simultaneity, which ...
In the literature in Table 1, the conventional hedge and safe haven regression proposed by Baur and McDermott (2010) are most frequently used, but this method can only capture the dependence between two variables at different quantiles of one party. On the other side, many econometric methods ...