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.

Econometrics & Model Building, Business models, Econometric models

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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.

General services, Science & research, Usage, Company systems management, Information management, Statistical methods, Medical insurance claims processing software, Health insurance claims processing software

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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.

Research and Development in the Physical, Engineering, and Life Sciences, Economics, Research and Development in the Social Sciences and Humanities, Mathematics, Heteroscedasticity

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