Estimating Poisson pseudo-maximum-likelihood rather than log-linear model of a log-transformed dependent variable

Estimating Poisson pseudo-maximum-likelihood rather than log-linear model of a log-transformed dependent variable

Purpose – The purpose of this study is to account for a recent non-mainstream econometric approach using microdata and how it can inform research in business administration. More specifically, the paper draws from the applied microeconometric literature stances in favor of fitting Poisson regression...

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Bibliographic Details
Main Author: Victor Motta
Format: Article
Language:English
Published: Emerald Publishing 2019-12-01
Series:RAUSP Management Journal
Subjects:
health economics
applied microeconometrics
poisson pseudo maximum likelihood estimator
Online Access:https://www.emerald.com/insight/content/doi/10.1108/RAUSP-05-2019-0110/full/pdf?title=estimating-poisson-pseudo-maximum-likelihood-rather-than-log-linear-model-of-a-log-transformed-dependent-variable

Internet

https://www.emerald.com/insight/content/doi/10.1108/RAUSP-05-2019-0110/full/pdf?title=estimating-poisson-pseudo-maximum-likelihood-rather-than-log-linear-model-of-a-log-transformed-dependent-variable

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