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Fourth Quarter 1996
Federal Reserve Bank of Dallas
| Economic Review
was published until 1999. |
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Neighborhood
School Characteristics: What Signals Quality to Homebuyers?
Kathy J. Hayes and Lori L.
Taylor
Popular wisdom and economic research
suggest that the quality of the neighborhood school
should be an important determinant of housing values.
Many researchers have found that housing values are
higher where school spending or student test scores
are higher. However, few economists consider these characteristics
good indicators of school quality. Meanwhile, no one
has examined whether the economists' notion of school
quality-the school's marginal effect on students-is
a school characteristic that matters to homebuyers.
Using a model of new home purchases
and historical data on homes in the Dallas Independent
School District (DISD), Kathy Hayes and Lori Taylor
demonstrate that property values do reflect the characteristics
of the neighborhood school. They present evidence that
property values reflect student test scores but not
school expenditures. Interestingly, they also find that
the relationship between test scores and property values
arises from an underlying relationship between property
values and the marginal effects of schools. Thus, their
analysis suggests that homebuyers and economists share
the same definition of school quality.
Trade Deficits:
Causes and Consequences
David M. Gould and Roy J.
Ruffin
According to conventional wisdom,
trade balances reflect a country's competitive strength-the
lower the trade deficit, the stronger the country's
industries and the higher its rate of economic growth.
In this article, David Gould and Roy Ruffin review the
history of the conventional wisdom and empirically examine
whether large overall trade deficits or bilateral trade
imbalances are associated with lower rates of economic
growth. They find that, once the fundamental determinants
of growth have been accounted for, trade imbalances
have little effect on rates of economic growth.
Can Mortgage
Applications Help Predict Home Sales?
John V. Duca
In this article, John Duca
finds that the Mortgage Bankers Association (MBA) index
of home mortgage applications can help forecast home
sales. Alone, the index is a good, albeit imperfect,
predictor of total home sales. But when included along
with housing affordability and real, after-tax mortgage
rate data, the index does not add extra information
if one disregards differences in data release lags.
The index is available roughly
three to four weeks ahead of the two alternative indicators.
Taking into account its greater timeliness, it provides
some extra information on home sales beyond that in
the two other indicators considered. Given this qualification,
the MBA index can help predict overall home sales. In
addition, the long-run equilibrium relationships suggest
that its usefulness may increase in the future. Nevertheless,
the index should be used cautiously. It is still relatively
new, and evidence suggests it may be misleading under
some circumstances.
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