IVREG29: Stata module for extended instrumental variables/2SLS and GMM estimation (v9)
Christopher Baum,
Mark Schaffer () and
Steven Stillman
Statistical Software Components from Boston College Department of Economics
Abstract:
ivreg2 provides extensions to Stata's official ivreg and newey. ivreg2 supports the same command syntax as official ivreg and supports (almost) all of its options. The main extensions: two-step feasible GMM estimation; continuously updated GMM estimation (CUE); LIML and k-class estimation; automatic output of the Hansen-Sargan or Anderson-Rubin statistic for overidentifying restrictions; C statistic test of exogeneity of subsets of instruments (orthog() option); kernel-based autocorrelation-consistent (AC) and heteroskedastic and autocorrelation-consistent (HAC) estimation, with user-specified choice of kernel; Cragg's "heteroskedastic OLS" (HOLS) estimator; default reporting of large-sample statistics (z and chi-squared rather than t and F); small option to report small-sample statistics; first-stage regression reported with F-test of excluded instruments and R-squared with included instruments "partialled-out"; enhanced Kleibergen-Paap and Cragg-Donald tests for weak instruments, redundancy of instruments, significance of endogenous regressors. ivreg2 can also be used for ordinary least squares (OLS) estimation using the same command syntax as Stata's official regress and newey. This is version 2.2.10 of ivreg2, updated from that published in Stata Journal, 5(4), requiring Stata 9.2 or better. Stata 8 users may use ivreg28 (q.v.) Stata 7 users may use the Stata Journal version of ivreg2, accessible via net search ivreg2.
Language: Stata
Requires: Stata version 9.2
Keywords: instrumental variables; Sargan test; robust estimation; orthogonality; GMM; Hansen's J; heteroskedastic OLS; HAC; bandwidth; k-class estimator; LIML (search for similar items in EconPapers)
Date: 2010-02-05, Revised 2015-01-19
Note: This module may be installed from within Stata by typing "ssc install ivreg29". 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 (2)
Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/i/ivreg29.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/i/ivreg29.hlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/i/ivreg29_p.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/i/ivreg29File-URL ... pec/bocode/_/cue.ado program code (text/plain)
Our link check indicates that this URL is bad, the error code is: 404 Not Found
http://fmwww.bc.edu/repec/bocode/c/cs_ivreg29.do certification script (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:s4254010
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 ().