The authors study the prediction of latent variables in a finite mixture of linear structural equation models. The latent variables can be viewed as well-defined variables measured with error or as theoretical constructs that cannot be measured objectively, but for which proxies are observed....

On theoretical grounds, shareholder returns should be better explained by some version of residual income (operating profit minus a capital charge) than by a profit number solely. However, empirical evidence indicates the opposite. We first investigate whether this 'value metrics puzzle' may be...

We present a model to test the null hypothesis that firms organize their corporate governance arrangements optimally given the constraints they face. Following the literature, the model rejects the null if the conditional correlation between governance and performance is significantly different...

The paper introduces the appropriate within estimators for the most frequently used three-dimensional fixed effects panel data models. It analyzes the behavior of these estimators in the cases of no self-flow data, unbalanced data, and dynamic autoregressive models. The main results are then...

We present a model to test the null hypothesis that firms organize their corporate governance arrangements optimally given the constraints they face. Following the literature, the model rejects the null if the conditional correlation between governance and performance is significantly different...

This paper presents estimates from a latent variables model of the relation between corporate governance and financial performance. We use data on large US corporations to estimate the correlation, conditional on the firms' investment opportunity set, between governance and performance. We find...