Nonlinear state-space models driven by differential equations have been widely used in science. Their statistical inference generally requires computing the mean and covariance matrix of some nonlinear function of the state variables, which can be done in several ways. For example, such...

Nonlinear drift models of the short-rate are estimated using data on the short-end of the term structure, where the cross-sectional relation is obtained by an analytical approximation. We find that (i) nonlinear physical drift is not implied unless it is strongly affected by cross-sectional...

We extend three existing cross-sectional limited dependent variable (LDV) estimators, that allow for endogenous regressors, to a panel data model. We focus on estimation of effects of timeinvariant endogenous regressors, since to our knowledge, besides joint maximum likelihood, no other...