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.
This accessible textbook and supporting web site use Excel (R) to teach introductory econometrics.
This work introduces readers to multiple regression with dummy variables. Multiple regression allows researchers to evaluate whether a continuous dependent variable is a linear function of two or more independent variables.
This textbook will encourage students to recognize the benefits of using quantitative methods in their own research projects. The text is clearly illustrated with tables, graphs and diagrams, leading the student through key topics.
This book walks you through tools you may have never noticed, and shows you how they can be used to streamline your workflow and enable you to produce more accurate results.
Forecasting is required in many situations.
This book describes techniques for finding the best representations of predictors for modeling and for nding the best subset of predictors for improving model performance.
The Second Edition features updated examples and new references to modern software output.
The nuts and bolts get familiar with the various characteristics of the classical linear regression model (CLRM), which is the foundation of traditional econometric analysis Form and function discover how econometric analysis is able to ...
By assuming it is possible to understand regression analysis without fully comprehending all its underlying proofs and theories, this introduction to the widely used statistical technique is accessible to readers who may have only a ...
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