Students who
study more do tend to get higher grade, but other factors also influence a
student’s grade. Previous preparation is an important factor, for instance, as
are talent, attention from teachers, even eating a good breakfast. A scatter plot like Figure A-2 does not attempt to isolate the effect that study
has on grades from the effects of other variables. Often, however economists
prefer looking at how one variable affects another, holding everything else
constant.
To see how
this is done, let’s consider one of the most important graph in economics: the
demand curie. The demand curve traces out the effect of a good’s price on the
quantity of the good consumers want to buy. Before showing a demand curve.
However, consider Table a-1 which shows how the number of novels that Emma buys
depends on her income and on the price of novels. When novels are cheap, Emma
buys them in large quantities. As they become more expensive she borrows books
from the library instead of buying them or chooses to go to the movies instead
of reading. Similarly, at any given price, Emma buys more novels when she has a
higher income. That is when her income increases, she spends part of the
additional income on novels and part on
other goods.
We now have
three variable the price of novels, income, and the number of novels purchased
which are more than we can represent in two dimensions. To put the information
from Table A-1 in graphical from we need to hold one of the three variables
constant and trace out the relationship between the other two. Because the
demand curve represents the relationship between price and quantity demanded we
hold Emma’s income constant and show how the number of novels she buys varies
with the price of novels
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