Fuel economy gaps within and across garages: A bivariate random parameters seemingly unrelated regression approach

Bayesian Geoadditive Seemingly Unrelated Regression

Parametric seemingly unrelated regression (SUR) models are a common tool for multivariate regression analysis when error variables are reasonably correlated, so that separate univariate analysis may result in inefficient estimates of covariate effects. A weakness of parametric models is that they require strong assumptions on the functional form of possibly nonlinear effects of metrical covaria...

Efficient Semiparametric Seemingly Unrelated Quantile Regression Estimation

We propose an efficient semiparametric estimator for the coefficients of a multivariate linear regression model — with a conditional quantile restriction for each equation — in which the conditional distributions of errors given regressors are unknown. The procedure can be used to estimate multiple conditional quantiles of the same regression relationship. The proposed estimator is asymptotical...

Bayesian Geoadditive Seemingly Unrelated Regression 1

Parametric seemingly unrelated regression (SUR) models are a common tool for multivariate regression analysis when error variables are reasonably correlated, so that separate univariate analysis may result in inefficient estimates of covariate effects. A weakness of parametric models is that they require strong assumptions on the functional form of possibly nonlinear effects of metrical covaria...

Multimodality of the Likelihood in the Bivariate Seemingly Unrelated Regression Model

Multill10dality of the likelihood in the bivariate seemingly unrelated regression model

Seemingly unrelated regression (SUR) models traditionally appear in econometrics but recently also emerged in likelihood factorizations of Gaussian graphical models. The literature on maximum likelihood estimation in SUR seems not to mention the possibility of a multimodallikelihood. \eVe want to increase the awareness of this phenomenon by a thorough study of a two-equation model illustrated b...