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MAXIMUM LIKELIHOOD ESTIMATION OF GRAVITY MODEL PARAMETERS
Author(s) -
Sen Ashish
Publication year - 1986
Publication title -
journal of regional science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.171
H-Index - 79
eISSN - 1467-9787
pISSN - 0022-4146
DOI - 10.1111/j.1467-9787.1986.tb01054.x
Subject(s) - maximum likelihood , transformation (genetics) , scale (ratio) , estimation , mathematics , maximum likelihood sequence estimation , estimation theory , statistics , econometrics , economics , physics , biochemistry , chemistry , management , gene , quantum mechanics
. It is shown that, under some very mild conditions, maximum likelihood estimates of gravity model parameters exist and are unique (up to a scale transformation for some parameters). An algorithm for finding such estimates is also proposed.