SVYPXCAT: Stata module to calculate predicted means or proportions for nominal X's for survey data

Joanne M. Garrett ()
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Joanne M. Garrett: University of North Carolina

Statistical Software Components from Boston College Department of Economics

Abstract: svypxcat calculates and optionally graphs means from linear regression models or proportions from logistic regression models corrected for the survey sampling scheme (weights) for one or two nominal X variables, adjusted for covariates. If a second X is specified, means or proportions are calculated for all possible combinations of X categories, and an interaction effect is tested. Optionally, model estimates and/or a graph may be displayed. Dummy variables are created for xvar1. The lowest dummy variable defaults to the reference group. If xvar2 is specified, dummy variables are created for it, as well as interaction terms.

Language: Stata
Requires: Stata version 9.0
Keywords: means; survey data; proportions (search for similar items in EconPapers)
Date: 2005-04-09, Revised 2006-07-03
Note: This module should be installed from within Stata by typing "ssc install svypxcat". 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.
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http://fmwww.bc.edu/repec/bocode/s/svypxcat.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/s/svypxcat.hlp help file (text/plain)

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Persistent link: https://EconPapers.repec.org/RePEc:boc:bocode:s449902

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