This paper studies nonparametric control charts to sequentially monitor dependent stochastic processes in continuous time with arbitrary but smooth drift functions m(t) to detect fast changes of m(t). Such methods are of particular interest when monitoring financial time series in order to...

I consider the problem of estimating an additive partially linear model using general series estimation methods with polynomial and splines as two leading cases. I show that the finite-dimensional parameter is identified under weak conditions. I establish the root-n-normality result for the...

We consider the problem of instrumental variable estimation of semipara-metric dynamic panel data models. We propose several new semiparametric instrumental variable estimators for estimating a dynamic panel data model. Monte Carlo experiments show that the new estimators perform much better...