Regression with Dummy Variables (Quantitative Applications in the Social Sciences) issue 93

✍ Scribed by Professor Melissa A Hardy

Publisher: Sage Publications, Inc
Year: 1993
Tongue: English
Leaves: 100
Series: Quantitative Applications in the Social Sciences
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

It is often necessary for social scientists to study differences in groups, such as gender or race differences in attitudes, buying behavior, or socioeconomic characteristics. When the researcher seeks to estimate group differences through the use of independent variables that are qualitative, dummy variables 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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