The McGraw-Hill Series Economics essentials of economics brue, McConnell, and Flynn Essentials of Economics


Regression with a Mixture of Quantitative and Qualitative



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9.4
Regression with a Mixture of Quantitative and Qualitative
Regressors: The ANCOVA Models
ANOVA models of the type discussed in the preceding two sections, although common
in fields such as sociology, psychology, education, and market research, are not that com-
mon in economics. Typically, in most economic research a regression model contains
8
The data are obtained from the data disk in Arthur S. Goldberger, 
Introductory Econometrics,
Harvard
University Press, Cambridge, Mass., 1998. We have already considered these data in Chapter 2.
guj75772_ch09.qxd 27/08/2008 11:56 AM Page 283


284
Part One
Single-Equation Regression Models
some explanatory variables that are quantitative and some that are qualitative. Regression
models containing an admixture of quantitative and qualitative variables are called
analysis of covariance (ANCOVA) models.
ANCOVA models are an extension of the
ANOVA models in that they provide a method of statistically controlling the effects of
quantitative regressors, called
covariates
or
control variables,
in a model that includes
both quantitative and qualitative, or dummy, regressors. We now illustrate the ANCOVA
models.
To motivate the analysis, let us reconsider Example 9.1 by maintaining that the average
salary of public school teachers may not be different in the three regions if we take into
account any variables that cannot be standardized across the regions. Consider, for
example, the variable 
expenditure on public schools by local authorities,
as public education
is primarily a local and state question. To see if this is the case, we develop the following
model:
Y
i
=
β
1
+
β
2
D
2
i
+
β
3
D
3
i
+
β
4
X
i
+
u
i
(9.4.1)
where 
Y
i

average annual salary of public school teachers in state ($)
X
i

spending on public school per pupil ($)
D
2i

1, if the state is in the Northeast or North Central

0, otherwise
D
3
i

1, if the state is in the South

0, otherwise
The data on 
X
are given in Table 9.1. Keep in mind that we are treating the West as the
benchmark category. Also, note that besides the two qualitative regressors, we have a
quantitative variable, 
X,
which in the context of the ANCOVA models is known as a

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