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Alternative Representations of Dummy Variables and Their Interpretations

Published online by Cambridge University Press:  10 May 2017

John P. Kuehn  and
E. James Harner
John P. Kuehn
Affiliation:
West Virginia University
E. James Harner
Affiliation:
West Virginia University
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Abstract

The objective of the paper was to bring together some of the preexisting theoretical treatments of dummy variables in regression analysis and to present them in such a way as they could be more effectively used and interpreted. This will enable researchers to select the particular representation that best suits their hypotheses. Four alternatives were exhibited for both a one-way analysis of variance and a one-way analysis of variance with a covariate. The predicting equations were presented in the text of the paper along with numerical examples and their interpretations. The derivations of the predicting equations and variable definitions were presented in the Appendix.

Type
Articles
Information
Journal of the Northeastern Agricultural Economics Council , Volume 7 , Issue 1 , April 1978 , pp. 63 - 69
Copyright
Copyright © Northeastern Agricultural and Resource Economics Association 

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