XTSUR: Stata module to estimate seemingly unrelated regression model on unbalanced panel data
Minh Nguyen
Statistical Software Components from Boston College Department of Economics
Abstract:
xtsur fits a many-equation seemingly-unrelated regression (SUR) model of the y1 variable on the x1 variables and the y2 variable on the x1 or x2 variables and etc..., using random effect estimators in the context of unbalanced panel data. The approach for this command is based on constructing a stepwise algorithm using Generalized Least Squares (GLS) and the Maximum Likelihood (ML) procedures. The method is originally developed by Erik Biorn (Journal of Econometrics, 2004).
Language: Stata
Requires: Stata version 10.0
Keywords: random effects; unbalanced panel; seemingly unrelated regression (search for similar items in EconPapers)
Date: 2008-08-14, Revised 2010-10-01
Note: This module should be installed from within Stata by typing "ssc install xtsur". 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: View citations in EconPapers (5)
Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/x/xtsur.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/x/xtsur.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/x/xtsur_example.dta sample data file (application/x-stata)
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:s456953
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 ().