CI_MARG_MU: Stata module to produce simulation-based confidence intervals after gllapred
Sophia Rabe-Hesketh
Statistical Software Components from Boston College Department of Economics
Abstract:
ci_marg_mu produces simulation-based confidence intervals for predictions using gllapred varname, mu marg after estimation using gllamm. It repeatedly draws a sample of model parameter values from the estimated asymptotic sampling distribution (i.e., a multivariate normal distribution with mean given by the estimates in e(b) and covariance matrix in e(V)) and obtains predictions using these simulated parameters. It returns the appropriate percentiles in lower and upper. For example, with the level(95) and reps(1000) options, the 25th largest prediction is returned in lower and the 976th largest prediction is returned in upper.
Language: Stata
Requires: Stata version 10 and gllamm package
Keywords: confidence intervals; predicted probabilities; gllamm (search for similar items in EconPapers)
Date: 2008-09-22, Revised 2008-11-17
Note: This module should be installed from within Stata by typing "ssc install ci_marg_mu". 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/c/ci_marg_mu.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/c/ci_marg_mu.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:s456961
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 ().