Bayesian partially identified models have received a growing attention in recent years in the econometric literature, due to their broad applications in empirical studies. Classical Bayesian approach in this literature has been assuming a parametric model, by specifying an ad-hoc parametric...

Weak capacity to enforce regulations and sanction violators, and an emphasis on economic growth in developing countries has led to concerns about worsening environmental conditions and the potential for these countries becoming pollution havens for multinational corporations. International...

Research has paid scant attention to reparative behavior to compensate for unintended wrongdoing or to the role of emotions in doing the right thing. We propose a new approach to investigating reparative behavior by looking at moral emotions and psychological proximity. In this study, we compare...

As organizations globalize, culturally based variation in the ways employees conceptualize their relationships with their employers increases in importance. In the competition for talent, organizations must understand employee preferences and expectations regarding their treatment by the firm....

Estimating and assessing the risk of a large portfolio is an important topic in financial econometrics and risk management. The risk is often estimated by a substitution of a good estimator of the volatility matrix. However, the accuracy of such a risk estimator for large portfolios is largely...

We study the estimation of a high dimensional approximate factor model in the presence of both cross sectional dependence and heteroskedasticity. The classical method of principal components analysis (PCA) does not efficiently estimate the factor loadings or common factors because it essentially...