In recent years, more Stata programs have become available for nonparametric regression. The commands mrunning and mlowess make it possible to perform nonparametric regression over several dimensions. These techniques, however, impose the separable additivity of the effect of different regressors. In some situations, this condition may be undesirable. To allow for a fully flexible nonparametric regression, I wrote a program to perform a kernel regression over two regressors. It is the natural extension of kernreg to the bivariate case.
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