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

In this paper we investigate a class of semi-parametric models for panel data sets 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 non-parametric covariate effect. Our model is motivated by...

In many stated choice experiments researchers observe the random variables <italic>V</italic>, <italic>X</italic>, and <italic>Y</italic> = 1{<italic>U</italic> + <italic>δ</italic>^⊤<italic>X</italic> + ε<italic>null</italic> < <italic>V</italic>}, <italic>t</italic> ≤ <italic>T</italic>, where <italic>δ</italic> is an unknown parameter and <italic>U</italic> and ε<italic>null</italic> are unobservable random variables. We show that under weak assumptions the distributions of <italic>U</italic> and ε<italic>null</italic> and also the...</<italic>

We consider additive intensity (Aalen) models as an alternative to the multiplicative intensity (Cox) models for analyzing the default risk of a sample of rated, nonfinancial U.S. firms. The setting allows for estimating and testing the significance of time-varying effects. We use a variety of...