We approximate the error density of a nonparametric regression model by a mixture of Gaussian densities with means being the individual error realizations and variance a constant parameter. We investigate the construction of a likelihood and posterior for bandwidth parameters under this...

Purpose This paper aims to investigate empirically whether Islamic securities enhance economic growth in the Southeast Asian region based on the endogenous growth theory using the non-parametric analysis. Design/methodology/approach This paper applies panel quantile regression with Markov chain...

This paper explores the link between exports and total factor productivity (TFP) in Brazilian manufacturing firms over the period 2000–2008. The Brazilian experience is instructive as it is a case of an economy that expanded aggregate exports significantly, but with stagnant aggregate TFP...

This paper reviews recent developments in nonparametric identi.cation of mea- surement error models and their applications in applied microeconomics, in particular, in empirical industrial organization and labor economics. Measurement error models describe mappings from a latent distribution to...