The fixed effects estimator of panel models can be severely biased because of well-known incidental parameter problems. It is shown that this bias can be reduced in nonlinear dynamic panel models. We consider asymptotics where <italic>n</italic> and <italic>T</italic> grow at the same rate as an approximation that facilitates...

We establish strict stationarity and strong mixing properties of the dynamic Tobit process. Using these results we show that the regularity conditions for bias corrections in general non-linear dynamic panel models are satisfied for the dynamic Tobit model.

This paper proposes a new instrumental variables estimator for a dynamic panel model with .xed e¤ects with good bias and mean squared error properties even when identi.cation of the model becomes weak near the unit circle. We adopt a weak instrument asymptotic approximation to study the...

In this paper, we consider parameter estimation in a linear simultaneous equations model. It is well known that two-stage least squares (2SLS) estimators may perform poorly when the instruments are weak. In this case 2SLS tends to suffer from the substantial small sample biases. It is also known...