Estimating log models: to transform or not to transform?
Article Abstract:
An analysis of log models used by health economists in their research on various health care issues is offered. Additional information on research methods used by medical economics is included.
Publication Name: Journal of Health Economics
Subject: Health care industry
ISSN: 0167-6296
Year: 2001
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Generalized modeling approaches to risk adjustment of skewed outcomes data
Article Abstract:
The econometric problems encountered due to the skew in data in healthcare applications are examined using the three parameter generalized Gamma (GGM) distribution method.
Publication Name: Journal of Health Economics
Subject: Health care industry
ISSN: 0167-6296
Year: 2005
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The logged dependent variable, heteroscedasticity, and the retransformation problem
Article Abstract:
Identification of heteroscedasticity plays a vital role in addressing any transformed dependent variable. Identification of heteroscedasticity is first undertaken when with dealing error term, which is determined whether it is heteroscedastic across treatment groups or relies on some combination of x's. Identifying the form of heteroscedasticity in error tearm leads to attainment of unbiased retransformation factor estimate that can, in turn, be utilized in the estimation of the total expected response of y to x.
Publication Name: Journal of Health Economics
Subject: Health care industry
ISSN: 0167-6296
Year: 1998
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