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A NOTE ON APPROXIMATION OF FULL INFORMATION MAXIMUM LIKELIHOOD ESTIMATES
Author(s) -
Ramasastry M. V.
Publication year - 1970
Publication title -
metroeconomica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.256
H-Index - 29
eISSN - 1467-999X
pISSN - 0026-1386
DOI - 10.1111/j.1467-999x.1970.tb00144.x
Subject(s) - maximum likelihood , econometrics , mathematical economics , mathematics , statistics , economics
S ummary The method of scoring introduced by R. A. Fisher and C. R. Rao is useful to find solutions from complicated maximum likelihood equations. The purpose of this note is to indicate the implications of this technique in econometrics. For example the linearized maximum likelihood LML estimates of Rothenberg and Leenders ( 1 ) are only special values of Rao's estimates.