A Bayesian method for simultaneous quantile regression on a real variable is considered. By monotone transformation, the response variable and the predictor variable are transformed into the unit interval. A representation of quantile function is given by a convex combination of two monotone increasing functions ξ1 and ξ2 not depending on the prediction variables. In a Bayesian approach, a prio...

In this paper we propose the adaptive lasso for predictive quantile regression (ALQR). Reflecting empirical findings, allow predictors to have various degrees of persistence and exhibit different signal strengths. The number is allowed grow with sample size. We study regularity conditions under which stationary, local unit root, cointegrated are present simultaneously. next show convergence rat...

The current study aims to explore the role of environmental taxes and regulations for renewable energy consumption, focusing on reporting policy suggestions overcome climate change issues achieve sustainability. main objective this paper is examine relation between energy, taxes, technologies, in 29 OECD countries during 1996–2018. More precisely, we inspect impact technologies consumption. aut...

This paper is concerned with quantile regression for a semiparametric regression model, in which both the conditional mean and conditional variance function of the response given the covariates admit a single-index structure. This semiparametric regression model enables us to reduce the dimension of the covariates and simultaneously retains the flexibility of nonparametric regression. Under mil...

We consider the bootstrap unit root tests based on finite order autoregressive integrated models driven by iid innovations, with or without deterministic time trends. A general methodology is developed to approximate asymptotic distributions for the models driven by integrated time series, and used to obtain asymptotic expansions for the Dickey–Fuller unit root tests. The second-order terms in ...

Some limit properties for information based model selection criteria are given in the context of unit root evaluation and various assumptions about initial conditions. Allowing for a nonparametric short memory component, standard information criteria are shown to be weakly consistent for a unit root provided the penalty coefficient Cn ! 1 and Cn/n ! 0 as n ! 1. Strong consistency holds when Cn/...

a r t i c l e i n f o This study examines whether mean reversion in REIT prices presents an asymmetric behavior across various quantiles. Distinguished from previous literature that applied the traditional linear unit-root test, a state-of-the-art quantile unit-root test is employed to identify financial asset predictability in five real estate investment trust (REIT) classifications. Our empir...

Models based on laser height metrics matching different quantiles of the distribution of laser canopy heights should be similar to one another with respect to their predictive capabilities of aboveground biomass providing: 1) the allometric relationships in the trees studied remain consistent; and 2) the vertical distributions of laser canopy heights and needle area/mass are related according t...