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PROPRCSPLINE: Stata module for restricted cubic spline smoothing of proportions

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Maarten L. Buis () (Universitaet Tuebingen)

Additional information is available for the following registered author(s):

Abstract

[roprcspline computes a restricted cubic spline smooth of proportions of observations in each category of a dependent/response/explained variable given an independent/predictor/explanatory variable, and graphs these smoothed proportions as a stacked area plot.

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File URL: http://fmwww.bc.edu/repec/bocode/p/proprcspline.ado
File Format: text/plain
File Function: program code
Download Restriction: no
File URL: http://fmwww.bc.edu/repec/bocode/p/proprcspline.sthlp
File Format: text/plain
File Function: help file
Download Restriction: no
File URL: http://fmwww.bc.edu/repec/bocode/p/proprcspline_ex.ado
File Format: text/plain
File Function: example file
Download Restriction: no

Publisher Info
Software component provided by Boston College Department of Economics in its series Statistical Software Components with number S457062.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
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Programming language: Stata
Requires: Stata version 10.0
Date of creation: 23 Jun 2009
Date of revision: 22 Oct 2009
Handle: RePEc:boc:bocode:s457062

Note: This module may be installed from within Stata by typing "ssc install proprcspline". Windows users should not attempt to download these files with a web browser.
Contact details of provider:
Postal: Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA
Phone: 617-552-3670
Fax: +1-617-552-2308
Email:
Web page: http://fmwww.bc.edu/EC/
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Web: http://repec.org/docs/ssc.php

For technical questions regarding this item, or to correct its listing, contact: (Christopher F Baum).

Related research
Keywords: smoothing; cubic spline; proportion; mlogit; graphics;

Statistics
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This page was last updated on 2009-12-10.

This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.