Applying nonparametric variable selection criteria in nonlinear regression models generally requires a substantial computational effort if the data set is large. In this paper we present a selection technique that is computationally much less demanding and performs well in comparison with...

This paper considers using asymmetric kernels in local linear smoothing to estimate a regression curve with bounded support. The asymmetric kernels are either beta kernels if the curve has a compact support or gamma kernels if the curve is bounded from one end only. While possessing the standard...

The rapid increase in international trade and financial integration over the past decade and the growing importance of emerging markets in world trade and GDP have inspired the IMF to place stronger emphasis on multilateral surveillance, macro-financial linkages, and the implications of...