abstract:In statistics, marginal models (Heagerty & Zeger, 2000) are a technique for obtaining regression estimates in multilevel modeling, also called hierarchical linear models.
An integrated-assessment model quantifies the marginal damages of air pollution emissions for the US which are multiplied times the quantity of emissions by industry to compute gross damages.
The model can determine the marginal value of hiring ten new drivers who live in central Illinois, say, based on the number of times that freight departs from the Midwest.