A note on the use of logged variables in interaction terms: why units matter

Article Abstract:

Units of measurement for models with logged variables must be chosen with care to avoid presenting misleading information. For loglinear models the coefficient of the logged variable hinges on another variable, which leads to inferences that are scale dependent. In cointegration tests, testing unit root integration order is not applicable for models with at least one variable that is logarithmized.

Analysis, Usage, Weights and measures, Measurement units and standards, Logarithmic functions

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A Comparison of the Amemiya GLS and the Lee- Maddala-Trost GZSLS in a Simultaneous-Equations Tobit Model

Article Abstract:

Performance comparison is made of a class of general least square estimators. The Amemiya GLS estimators are asymptotically more efficient. The Amemiya estimator is statistically burdensome.

Comparative analysis, Estimation theory

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