1992
DOI: 10.1016/0047-259x(92)90035-e
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Optimizing in the class of Fuller modified limited information maximum likelihood estimators

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Cited by 3 publications
(2 citation statements)
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“…Fuller's (1977) modified limited-information maximum likelihood (FLIML) addresses small sample size with weak instruments and has finite sample moments (Hahn et al 2004). In effect, the FLIML modifies the LIML estimator by subtracting from LIML root, λ0, a number which is asymptotically negligible as the sample size increases (Davidson and MacKinnon 1993;and Kadiyala and Oberhelman 1992). We used α = 4 as it has smaller root mean square (better model fit) and instrument capital inflows to the Philippines using their corresponding aggregate inflows to Indonesia, Malaysia, and Thailand.…”
Section: Empirical Specificationmentioning
confidence: 99%
“…Fuller's (1977) modified limited-information maximum likelihood (FLIML) addresses small sample size with weak instruments and has finite sample moments (Hahn et al 2004). In effect, the FLIML modifies the LIML estimator by subtracting from LIML root, λ0, a number which is asymptotically negligible as the sample size increases (Davidson and MacKinnon 1993;and Kadiyala and Oberhelman 1992). We used α = 4 as it has smaller root mean square (better model fit) and instrument capital inflows to the Philippines using their corresponding aggregate inflows to Indonesia, Malaysia, and Thailand.…”
Section: Empirical Specificationmentioning
confidence: 99%
“…Fuller's (1977) modified limited-information maximum likelihood (FLIML) addresses small sample size with weak instruments and has finite sample moments (Hahn et al 2004). In effect, the FLIML modifies the LIML estimator by subtracting from LIML root, λ0, a number which is asymptotically negligible as the sample size increases (Davidson and MacKinnon 1993;and Kadiyala and Oberhelman 1992). We used α = 4 as it has smaller root mean square (better model fit) and instrument capital inflows to the Philippines using their corresponding aggregate inflows to Indonesia, Malaysia, and Thailand.…”
Section: Empirical Specificationmentioning
confidence: 99%