demand and cost uncertainties are resolved. Using several related models we show that this can cause clustering of component …

generalized least squares type. We argue theoretically that the impact of ignoring clustering in standard error estimation will … tend to increase with the number of waves in the analysis, under some patterns of clustering which are realistic for many … social surveys. The implication is that it is, in general, at least as important to allow for clustering in standard errors …

This paper is about the determination and prediction of permanent income in household data. Standard static welfare …

We contrast two approaches to the prediction of latent variables in the model of factor analysis. The likelihood …

Motivated by prediction problems for time series with heavy-tailed marginal distributions, we consider methods based on …