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Econometrica Vol. 50 No. 5 1982

On the Consistency of Nonlinear FIML

Peter C. B. Phillips

Abstract

Examples are given which show that:(i) normality is not Necessary for the consistency of the quasi maximum likelihood estimator in the nonlinear simultaneous equations model (nonlinear FIML) even when there are major departures from linearity; and (ii) the lemma which is used extensively by Amemiya [2] in the theoretical development of the properties of nonlinear FIML under the assumption of normality is, as presently stated, incorrect.

DOI
10.2307/1911875
Volume
50
Issue
5
Pages
1307
Sources
bibtex:phds-export.bib openalex crossref

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