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component analysis (SPCA), coupled with a variety of other factor estimation as well as data shrinkage methods, including … nonlinear methods, and that using a combination of factor and other shrinkage methods often yields superior predictions. For … forms of shrinkage. For example, SPCA yields MSFE-best prediction models in many cases, particularly when coupled with …
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This paper proposes new ℓ1-penalized quantile regression estimators for panel data, which explicitly allows for individual heterogeneity associated with covariates. We conduct Monte Carlo simulations to assess the small sample performance of the new estimators and provide comparisons of new...
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for selection bias and shrinkage estimation and is to be contrasted with deconvolution. Simulation results confirm the …
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