In this section I discuss testing results
of four different postsecondary institutions. In terms of the testing,
dependent variable is total expenditure, while independent variables are
function expenditure like instruction and student services.
For private research institutions, table
17 tabulates test results for private research institutions. Column 1 shows
that holding other variables unchanged, increasing instruction expenditure by
one dollar tends to increase expenditure by 1.37 dollar. As for research
expenditure, the influence is 0.97 dollar. The coefficient of instruction
indicates that instruction spending has an economically significant impact upon
total expenditure. If spending on instruction is efficient, then it means these
institutions have experienced a certain amount of quality increase. One thing
interesting in this testing is that coefficient of grant expenditure is
negative, indicating that spending more on scholarships and fellowships alone
actually decrease total expenditure. The sign of the coefficient depends on how
institutions do their budgeting. If institutions do zero-based budgeting,
namely that they come up with a number to spend on each category and implement
it, then spending more on each subcategory is bound to increase total
expenditure. However, if institutions first set an overall expenditure and then
allocate to each category based on revenue sources and donors’ specific
requirements, it is reasonable to see negative coefficient.
Considering that many private research
institutions have affiliated hospitals, I further decomposed samples into two
subgroups and tested difference with respect to instruction and research
expenditure. Column 2 and 3 tabulate the testing results. The results show that
institutions without hospitals have more quality increase in terms of
instruction while institutions with affiliated hospitals have more quality
improvement in research.
As for public research institutions
(Table 19), since coefficients of instruction and research are both bigger than
1, it implies that these institutions experienced quality increase from both
instruction investment and research effort. Column 2 and 3 illustrate results
for institutions with and without hospitals. We can see that
hospital-affiliated institutions, compared to peers without one, have more
quality return from research and less from instruction. I think that existence
of affiliated hospitals tends to let schools have different spending decisions,
and the possible reason is that: schools with hospital have more research
projects related to medicine, and thus they are more likely to get results and
explore frontier of knowledge in terms of this field of researches. As a
result, they attract more talented students and faculties interested in this
field and their quality contribution in terms of research is more significant
than peers without hospitals.
As for private bachelor institutions,
their coefficient of instruction is larger than 1, which implies that they also
experienced certain level of quality increase. One thing to notice is that,
even though their coefficient of research is larger than 1 (though not much),
this doesn’t mean that they gain extra quality increase from this field because
their investments in research are very small.
For community colleges, holding other
variables constant, increasing instruction expenditure by 1 dollar will cause total
expenditure to rise by 0.97 dollar, and since these institutions are not
research oriented, their research coefficient doesn’t tell much about their
quality change. Direct expenditure on instruction doesn't lead to economically
significant increase of total expenditure, and this implies that with respect
to public associate institutions, they didn’t experience much quality
improvement over years.
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