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...

We estimate time-varying income and price elasticities for energy demand for a 26- country, middle-income (primarily non-OECD) balanced panel that spans 1996-2014. To do so, we employ a recently developed nonparametric local linear dummy estimation method that estimates the trend and coefficient...