Ó¦¸ÃÊǵġ£xtivreg2µÄ¹¦ÄܸüÇ¿´óЩ£ºIts features include: two-step feasible GMM estimation (gmm2s option) and continuously-updated
GMM estimation (cue option); LIML and k-class estimation; automatic output of overidentification and underidentification test statistics; C statistic test
of exogeneity of subsets of instruments (orthog() option); endogeneity tests of endogenous regressors (endog() option); test of instrument redundancy
(redundant() option); kernel-based autocorrelation-consistent (AC) and heteroskedastic and autocorrelation consistent (HAC) standard errors and covariance
estimation (bw(#) option), with user-specified choice of kernel (kernel() option); two-level cluster-robust standard errors and statistics; default
reporting of large-sample statistics (z and chi-squared rather than t and F); small option to report small-sample statistics; first-stage regressions
reported with various tests and statistics for identification and instrument relevance; ffirst option to report only these identification statistics and
not the first-stage regression results themselves. ivreg2 can also be used for ordinary least squares (OLS) estimation using the same command syntax as
official regress and newey.
Õª×Ô-help xtivreg2-
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