Hostname: page-component-848d4c4894-sjtt6 Total loading time: 0 Render date: 2024-06-26T19:09:26.706Z Has data issue: false hasContentIssue false
  • English
  • Français

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
Get access

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 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Barr, A. J. and Goodnight, J. H. A User's Guide to the Statistical Analysis System. Raleigh: North Carolina State University. August, 1972.Google Scholar
Barr, A. J., Goodnight, J. H., Sall, J. P. and Helwig, J. T., A User's Guide to SAS 76. Raleigh: SAS Institute, 1976.Google Scholar
Johnston, J. Econometric Methods. New York: McGraw Hill Book Co., 1963.Google Scholar
Kuehn, John P. “Satisfaction with Community Services in the Northeast.” A Northeast Regional Community Services Study. College of Food and Natural Resources, Massachusetts Agricultural Experiment Station Research Bulletin Number 647. May, 1977.Google Scholar
Leistritz, F. Larry. “The Use of Dummy Variables in Regression Analysis.” Department of Agricultural Economics Misc. Report No. 13 (Technical). Fargo, North Dakota. August, 1973.Google Scholar
Sappington, Charles. “A Numerical Example of the Practical Use of Dummy Variables.” Southern Journal of Agricultural Economics, 2(1970): 197–201.Google Scholar
Searle, S.R. Linear Models. New York: John Wiley Series in Probability and Mathematical Statistics, 1971.Google Scholar
Suits, Daniel B. “Use of Dummy Variables in Regression Equations.” Journal of the. American Statistical Association, 52(1957): 548–551.Google Scholar
Tomek, William G. “Using Zero-One Variables With Time Series Data in Regression Equations.” Journal of Farm Economics, 45(1963): 814–822.Google Scholar