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From the Help Desk: Local Polynomial Regression and Stata Plugins

Authors :
Jean Marie Linhart
Jeffrey S. Pitblado
Roberto G. Gutierrez
Source :
The Stata Journal: Promoting communications on statistics and Stata. 3:412-419
Publication Year :
2003
Publisher :
SAGE Publications, 2003.

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.

Details

ISSN :
15368734 and 1536867X
Volume :
3
Database :
OpenAIRE
Journal :
The Stata Journal: Promoting communications on statistics and Stata
Accession number :
edsair.doi.dedup.....cbe533c3df59870c1e5e546307aa667d
Full Text :
https://doi.org/10.1177/1536867x0400300409