bank credits affect employment through providing investment opportunities for firms and creating jobs for applicants. this needs، of course، an efficient financial system in the country to manage properly financial resources in order that the firms can access to the relevant economic effects of employment and growth.the performance of banking is thus a major determinant of employment and busine...

Seemingly unrelated regression (SUR) models are useful in studying the interactions among different variables. In a high dimensional setting or when applied to large panel of time series, these models require a large number of parameters to be estimated and suffer of inferential problems. To avoid overparametrization and overfitting issues, we propose a hierarchical Dirichlet process prior for ...

This article considers the seemingly unrelated regression (SUR) model first analyzed by Zellner (1962). We describe estimators used in the basic model as well as recent extensions.

This paper proposes robust regression to solve the problem of outliers in seemingly unrelated regression (SUR) models. The authors present an adaptation of S-estimators to SUR models. S-estimators are robust, with high breakdown point, and are much more efficient than other robust regression estimators commonly used in practice. Furthermore, modifications to Ruppert’s algorithm allow a fast eva...

Robust alternatives to the seemingly unrelated regression (SUR) estimator of Zellner (1962) are proposed for the classical multivariate regression model. These weighted M-estimators achieve an asymptotic covariance matrix analogous to that of the SUR estimator. Comparisons are made with the efficient estimator in the case of elliptically contoured distributions. The / lt least absolute deviatio...

System of panel models are popular models in applied sciences and the question of spatial errors has created the recent demand for spatial system estimation of panel models. Therefore we propose new diagnostic methods to explore if the spatial component will change significantly the outcome of non-spatial estimates of seemingly unrelated regression (SUR) systems. We apply a local sensitivity ap...

The study addresses problems in measuring credit risk under the structure model, and then proposes a seemingly unrelated regression model (SUR) to predict farms’ ability in meeting their current and anticipated obligations in the next 12 months. The empirical model accounts for both the dependence structure and the dynamic feature of the structure model, and is used for estimating asset correla...