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Functional Forms of Regression Models by mahomedyac is a document available to read on EtoBox.
This document discusses various functional forms that can be used in regression analysis beyond the standard linear model. It introduces log-linear, semilog, polynomial, and regression through the origin models. Log-linear models transform variables to be linear in the parameters and can be estimated using ordinary least squares. This allows estimation of elasticities from the slope coefficients. Semilog models have either the dependent or independent variable in log form. Polynomial models include higher-o
- Author
- mahomedyac
- Language
- EN