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allowance for heteroskedasticity is generally important. The solution is a Fuller (1977) like estimator and standard errors that … are robust to heteroskedasticity and many instruments. We show that the estimator has finite moments and high asymptotic …. We find that the estimator is asymptotically as efficient as the limited-information maximum likelihood (LIML) estimator …
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