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Regression with Dummy Variables
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Regression with Dummy Variables



February 1993 | 96 pages | SAGE Publications, Inc

Social scientists are often interested in studying differences in groups, such as gender or race differences in attitudes, buying behaviors, or socioeconomic characteristics. When the researcher seeks to estimate group differences through the use of independent variables that are qualitative (i.e., measured at only the nominal level), dummy variables will allow the researcher to represent information about group membership in quantitative terms without imposing unrealistic measurement assumptions on the categorical variables. Beginning with the simplest model, Hardy probes the use of dummy variable regression in increasingly complex specifications, exploring issues such as: interaction, heteroscedasticity, multiple comparisons and significance testing, the use of effects or contrast coding, testing for curvilinearity, and estimating a piecewise linear regression.


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Introduction
 
Creating Dummy Variables
 
Using Dummy Variables as Regressors
 
Assessing Group Differences in Effects
 
Alternative Coding Schemes for Dummy Variables
 
Special Topics in the Use of Dummy Variables
 
Conclusions

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ISBN: 9780803951280
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