Answers are grounded in this paper and cite their sources.
SUMMARY Estimation in regression models with multiplicative error is commonly based on either the log-normal or the gamma likelihood. When the regression effects are also multiplicative, the gamma maximum likelihood estimate is found to be the more efficient of the two, but only slightly so, under reciprocal misspecification.
No takes yet. Share an insight, caveat, or question.
David Firth (1988) studied this question.
Synapse has enriched 10 related papers. Consider them for comparative context: