We propose a generalization of the linear quantile regression model to accommodate possibilities afforded by panel data. Specifically, we extend the correlated random coefficients representation of linear quantile regression (e.g., Koenker, 2005; Section 2.6). We show that panel data allows the econometrician to (i) introduce dependence between the regressors and the random coefficients and (ii...

Taking a Bayesian perspective on model comparison for crosssectional and static panel data models considerably simplifies the task of selecting an appropriate model. A wide variety of alternative specifications that include various combinations spatial dependence in lagged values of the dependent variable, spatial lags of the explanatory variables, as well as dependence in the model disturbance...

BACKGROUND Consensus techniques have been used previously to create explicit criteria to prioritize cataract extraction; however, the appropriateness of the intervention was not included explicitly in previous studies. We developed a prioritization tool for cataract extraction according to the RAND method. METHODS Criteria were developed using a modified Delphi panel judgment process. A panel...

The purpose of this study is to evaluate the effect of the characteristics of board of directors (Chief Executive Officer Duality, CEO tenure duration, size and independence of the board of directors) on earnings management. In this study, data from 62 companies listed in the Tehran Stock Exchange during the years of 2011 to 2015 were used. The statistical method used in this research is panel ...

In the context of ridge regression, the estimation of ridge (shrinkage) parameter plays an important role in analyzing data. Many efforts have been put to develop skills and methods of computing shrinkage estimators for different full-parametric ridge regression approaches, using eigenvalues. However, the estimation of shrinkage parameter is neglected for semiparametric regression models. The m...

Depending on the type of analysis, Finite Element(FE) models of different fidelity are necessary. Creating these models manually is a labor intensive task. This paper discusses a generic approach for generating FE models of different fidelity from a single reference FE model. These different fidelity models are created by sub-structuring and a multi-scale superposition technique. Efficiency of ...

in this article, i try to find out what are the effects of financial variablessuch as ratio of private sector deposits to gdp and ratio of bank credit toprivate sector to gdp and value of stocks trade in tehran stockexchange to total current value of stocks and private sector liquidity togdp on total investment.we use two models to test our hypothesis the first is a model for iranand the second...