In this paper we investigate a class of semiparametric models for panel datasets where the cross-section and time dimensions are large. Our model contains a latent time series that is to be estimated and perhaps forecasted along with a nonparametric covariate effect. Our model is motivated by...

We consider the identification problem for the model of Lee and Carter (1992). The parameters of this model are known only to be identified up to certain transformations. Forecasts from the model may therefore depend on the arbitrarily chosen identification scheme. A condition for invariant...