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A Smart Guide to Dummy Variables: Four Applications and a ...

A Smart Guide TO Dummy VARIABLES: FOUR Applications AND A MACRO. Susan Garavaglia and Asha Sharma Dun & Bradstreet Murray Hill, New Jersey 07974. Abstract: Dummy variables are variables that take qualitative concepts such as season, male or the values of only 0 or 1. They may be explanatory female, smoker or non-smoker, etc., is required for or outcome variables; however, the focus of this many models to make sense. article is explanatory or independent variable In a regression model, a Dummy variable with a construction and usage. Typically, Dummy variables value of 0 will cause its coefficient to disappear from are used in the following Applications : time series the equation. Conversely, the value of 1 causes analysis with seasonality or regime switching ; the coefficient to function as a supplemental analysis of qualitative data, such as survey intercept, because of the identity property of responses; categorical representation, and multiplication by 1.

analysis with seasonality or regime switching; analysis of qualitative data, such as survey responses; categorical representation, and representation of value levels. Target domains may be economic forecasting, bio-medical research, credit scoring, response modeling, and other fields. Dummy variables may serve as inputs in traditional

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