LISTMISS: Stata module to analyse missing values related to an estimation command
Paul Millar
Statistical Software Components from Boston College Department of Economics
Abstract:
listmiss is a post-estimation command that reports the number of missing values for each independent variable. For each independent variable a flag is created to indicate when the variable is missing. The dependent variable is regressed on the missing flag for each independent variable. The statistical significance of the slope is reported as an indicator of whether the dependent variable is statistically different where an independent variable is missing. Another test compares the null model to the model with the missing flag and performs a BIC difference test, again as an indication of whether the dependent variable is statistically different when an independent variable is missing. If the model was specified with robust standard errors, then robust standard errors are used to perform the hypothesis test related to the slope for the missing value flag.
Language: Stata
Requires: Stata version 8
Keywords: missing data; estimation; BIC; regression diagnostics (search for similar items in EconPapers)
Date: 2005-03-25, Revised 2011-04-14
Note: This module should be installed from within Stata by typing "ssc install listmiss". 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/listmiss.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/l/listmiss.hlp 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:s449506
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 ().