LOCPR: Stata module for semi-parametric estimation

Austin Nichols ()

Statistical Software Components from Boston College Department of Economics

Abstract: locpr semi-parametrically estimates a probability or proportion as a function of one other variable and graphs the result. Specifically, it estimates a local linear regression using lpoly and approximates the endpoints of the confidence interval via a logit transformation. The estimates are computed at ninety-nine percentiles of the regressor and graphed. The logit option offers a direct comparison to parametric logistic regression.

Language: Stata
Requires: Stata version 10.0
Keywords: logit; probit; glm; lpoly; local linear regression; fraction; proportion; lowess; mlowess; transformation (search for similar items in EconPapers)
Date: 2008-03-19, Revised 2008-05-07
Note: This module should be installed from within Stata by typing "ssc install locpr". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
References: Add references at CitEc
Citations:

Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/l/locpr.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/l/locpr.sthlp help file (text/plain)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:boc:bocode:s456918

Ordering information: This software item can be ordered from
http://repec.org/docs/ssc.php

Access Statistics for this software item

More software in Statistical Software Components from Boston College Department of Economics Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA. Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F Baum ().