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- W2439581045 abstract "We apply the third-order efficient method of estimation to the estimation problem of a system of structural equations in econometrics. The maximum likelihood estimator (hereafter m.l.e.) of structural equations is proved to give uniformly higher probability of concentration about true values than any regular best asymptotically normal estimator, if its asymptotic bias is properly adjusted. For instance, the full-information or limitedinformation m.l.e. give asymptotically uniformly higher probability of concentration than the three-stage or two-stage least-squares estimators, given that these estimators are adjusted to have the same biases. The same result holds for the subsystem m.l.e. We prove the asymptotic completeness of Fuller's modified estimator. Asymptotic expansions of the distributions of the full-information m.l., subsystem m.l., and limited-information m.l. estimators are derived to terms of order O(T-'). Our general theorem is also applied to the multi-equation seemingly unrelated regression (SUR) model." @default.
- W2439581045 created "2016-06-24" @default.
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- W2439581045 date "1985-01-01" @default.
- W2439581045 modified "2023-09-26" @default.
- W2439581045 title "IN A SIMULTANEOUS EQUATION SYSTEM" @default.
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