Resource title

Importance Assessment of Correlated Predictors in Business Cycles Classification

Resource image

image for OpenScout resource :: Importance Assessment of Correlated Predictors in Business Cycles Classification

Resource description

When trying to interpret estimated parameters the researcher is interested in the (relative) importance of the individual predictors. However, if the predictors are highly correlated, the interpretation of coefficients, e.g. as economic ?multipliers?, is not applicable in standard regression or classification models. The goal of this paper is to develop a procedure to obtain such measures of importance for classification methods and to apply them to models for the classification of german business cycle phases.

Resource author

Daniel Enache, Claus Weihs

Resource publisher

Resource publish date

Resource language

eng

Resource content type

text/html

Resource resource URL

http://hdl.handle.net/10419/22579

Resource license

Adapt according to the presented license agreement and reference the original author.