the weights on the positive events in the sample—
further magnifying their importance in the
estimation procedure. In unreported regressions we
experimented by setting the population success
rate to 10 percent and 2.5 percent. This had no
effect on the significance level of any of the coefficients
in our regressions, and the magnitude of
the significant effects, as measured by the proportional
change in the baseline probability of
funding (that is, quasi-elasticities), was identical
to reported specifications. The undersampling of
high-quality requests does not appear to influence
our inference.
We made two additional assumptions in our
analysis that are somewhat arbitrary. First, we used
characteristics of the full management team as
opposed to the founding team. It is conceivable
that venture capitalists are most concerned with
the founding team alone. Second, we used averaged
human capital measures across team members.
It is plausible that the maximum values are
more important. To investigate the robustness of
our results to these assumptions, we repeated Models
12, 14, and 16 using different aggregation
techniques. In the interest of brevity, we only
summarize the regression results. When we use
the maximum values for top management team
members (that is, the very highest values across
all team members), the results are qualitatively
unchanged, although the entrepreneurial prominence
variable is significant at the five percent
level in the model similar to Model 16. We also
test the mean values and maximum values for
founding teams. Founding teams are only specifically
identified in 264 of the requests. Reporting
MBA experience of any founding team member
completely determines a (negative) funding outcome,
and neither of the other two educational
human capital variables are significant, nor do they
affect any of the other coefficients. For the subsample
that reports founding teams, both maximum
and mean entrepreneurial experience predicts
funding outcomes, but entrepreneurial prominence
does not.
To summarize: Businesses associated with submissions
that include any documentation are more
likely to receive VC funding unless they submit
an executive summary without supporting documentation.
This is supportive of the ceremonial
view. Inclusion of any information pertaining
to known success factors is not predictive of
funding decisions. However, conditional on the
the weights on the positive events in the sample—
further magnifying their importance in the
estimation procedure. In unreported regressions we
experimented by setting the population success
rate to 10 percent and 2.5 percent. This had no
effect on the significance level of any of the coefficients
in our regressions, and the magnitude of
the significant effects, as measured by the proportional
change in the baseline probability of
funding (that is, quasi-elasticities), was identical
to reported specifications. The undersampling of
high-quality requests does not appear to influence
our inference.
We made two additional assumptions in our
analysis that are somewhat arbitrary. First, we used
characteristics of the full management team as
opposed to the founding team. It is conceivable
that venture capitalists are most concerned with
the founding team alone. Second, we used averaged
human capital measures across team members.
It is plausible that the maximum values are
more important. To investigate the robustness of
our results to these assumptions, we repeated Models
12, 14, and 16 using different aggregation
techniques. In the interest of brevity, we only
summarize the regression results. When we use
the maximum values for top management team
members (that is, the very highest values across
all team members), the results are qualitatively
unchanged, although the entrepreneurial prominence
variable is significant at the five percent
level in the model similar to Model 16. We also
test the mean values and maximum values for
founding teams. Founding teams are only specifically
identified in 264 of the requests. Reporting
MBA experience of any founding team member
completely determines a (negative) funding outcome,
and neither of the other two educational
human capital variables are significant, nor do they
affect any of the other coefficients. For the subsample
that reports founding teams, both maximum
and mean entrepreneurial experience predicts
funding outcomes, but entrepreneurial prominence
does not.
To summarize: Businesses associated with submissions
that include any documentation are more
likely to receive VC funding unless they submit
an executive summary without supporting documentation.
This is supportive of the ceremonial
view. Inclusion of any information pertaining
to known success factors is not predictive of
funding decisions. However, conditional on the
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