IVREG2: Stata module for extended instrumental variables/2SLS and GMM estimation
ivreg2 provides extensions to Stata's official ivregress and newey. Its main capabilities: 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; two-way clustering of standard errors; Kiefer and Driscoll-Kraay standard errors. 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 4.0.01 of ivreg2, updated from that published in Stata Journal, 5(4), requiring Stata 11.2 or better. Stata 8.2/9.2/10.2 users may use this routine, which will automatically call ivreg28, ivreg29, or ivreg210, respectively. These versions are now included in the ivreg2 package. Stata 7 users may use the Stata Journal version of ivreg2, accessible via net search ivreg2.
|Requires:||Stata version 11.2 and ranktest from SSC|
|Date of creation:||02 Apr 2002|
|Date of revision:||09 Feb 2015|
|Note:||This module may be installed from within Stata by typing "ssc install ivreg2". Windows users should not attempt to download these files with a web browser.|
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