From the help desk: Local polynomial regression and Stata plugins

Roberto G. Gutierrez, Jean Marie Linhart and Jeffrey S. Pitblado
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Roberto G. Gutierrez: StataCorp LP
Jean Marie Linhart: StataCorp LP
Jeffrey S. Pitblado: StataCorp LP

Stata Journal, 2003, vol. 3, issue 4, 412-419

Abstract: Local polynomial regression is a generalization of local mean smoothing as described by Nadaraya (1964)andWat s on (1964). Instead of fitting a local mean, one instead fits a local pth-order polynomial. Calculations for local polynomial regression are naturally more complex than those for local means, but local polynomial smooths have better statistical properties. The computational complexity may, however, be alleviated by using a Stata plugin. In this article, we describe the locpoly command for performing local polynomial regression. The calculations involved are implemented in both ado-code and with a plugin, allowing the user to assess the speed improvement obtained from using the plugin. Source code for the plugin is also provided as part of the package for this program. Copyright 2003 by StataCorp LP.

Keywords: local polynomial; local linear; smoothing; kernel; plugin (search for similar items in EconPapers)
Date: 2003
References: View complete reference list from CitEc
Citations: View citations in EconPapers (15)

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