incentives, income, and government spending. Using censored quantile regression analysis, we derive results for different points …

studies. We propose to correct the bias with the quantile regression technique invented by Koenker and Bassett (Econometrica …

and important measure for detecting the market risk of financial assets. The quantile regression method can generate VaR … of quantile regression and kernel estimator which applies the nonparametric technique with extreme quantile forecasts to …

, in this study quantile regression is used to estimate the empirical model. Results of this study show the effect of land … by estimating quantile regression across farmland value categories. Results indicate that a 1percent increase in off …

this issue based on average effects (mostly considering ordinary least squares estimations), we follow a quantile … regression approach that enables us to capture heterogeneous effects of trust for different development levels. By considering …

In this paper we study risk management based on the quantile regression. Unlike the traditional VaR estimation methods …, the quantile regression approach allows for a general treatment on the error distribution and is robust to distributions …. The empirical application show that the quantile regression based method is well suited to handle negative skewness and …

unconditional quantile regression technique proposed by Firpo et al. (2009) overcomes this deficiency, and this technique is applied …

This article defines a meaningful concept of elliptical location quantile with the aid of quantile regression …