We develop inference tools in a semiparametric regression model with missing response data. A semiparametric regression imputation estimator, a marginal average estimator and a (marginal) propensity score weighted estimator are defined. All the estimators are proved to be asymptotically normal,...

In the presence of heteroskedasticity, Lin and Lee (2010) show that the quasi maximum likelihood (QML) estimators of spatial autoregressive models (SAR) can be inconsistent as a ‘necessary’ condition for consistency can be violated, and thus propose robust GMM estimators for the model. In...

We treat the banking system as a traded credit portfolio and calculate systemic risk capital as the amount of capital that insures the portfolio's value against unexpected losses. Using data from the largest global financial institutions, we find evidence of extreme event dependence between...

Predictive cost reduction based on a thermodynamic model, in which parameters associated with a process are accessed. The parameters include a quantity of units of Work-in-process at first and second times, and first and second constants respectively indicative of growth between the first and...

This Application claims the priority of U.S. Provisional Patent Application Serial No. 60/479,333, Filed: June 18, 2003.

In this paper we analyse the problem of the modelling of individual transitions in presence of an incomplete sampling scheme.