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epresented in the survey responses are somewhat<br />

more recent and average fewer employees than<br />

the universe of MIT alumni-founded companies.<br />

All told, these 4,611 specific surveyed firms included<br />

in the direct responses employ more than 585,000<br />

people. We estimate, however, that the entire<br />

population of MIT alumni firms employs more than<br />

3.3 million people.<br />

The <strong>report</strong>’s findings on where and why<br />

companies locate where they do, what gives them<br />

their competitive edge, how they received initial<br />

funding, where they sell their products, and how many<br />

patents they have, are taken directly from the<br />

responses to this 2003 survey, updated to reflect the<br />

2006 corporate information obtained from Compustat<br />

and Dun & Bradstreet. To estimate accurately the<br />

entrepreneurial activity and economic <strong>impact</strong> of those<br />

in the entire MIT alumni population who did not<br />

respond to the surveys, we multiply the direct response<br />

numbers by a scale factor. For further details, see the<br />

Appendix section, “Estimation Methods,” below.<br />

The detailed questionnaire used for this survey<br />

is available at www.kauffman.org/MITstudy. We<br />

encourage other universities to undertake and share<br />

comparative analyses. We also should note here that,<br />

although we correctly identify all of the alumni in the<br />

MIT database as “MIT alumni,” a substantial fraction<br />

of them are also alumni of other universities in the<br />

United States and other countries. So the economic<br />

<strong>impact</strong>s cited in this <strong>report</strong> reflect the direct and<br />

indirect educational <strong>impact</strong> of many institutions of<br />

higher learning in science, technology, and<br />

management.<br />

Estimation Methods<br />

As in all surveys, a large segment of the alumni<br />

population did not respond to the MIT alumni surveys.<br />

Therefore, estimation of the total <strong>impact</strong> of MIT alumni<br />

entrepreneurs requires extrapolation to account for<br />

non-respondents. To estimate the numbers for the<br />

entire MIT alumni population, we multiply by a scale<br />

factor to give an accurate estimate of the<br />

entrepreneurial activity of those who did not respond<br />

Appendix<br />

to the surveys. Since we have aggregated data from<br />

both the 2001 and 2003 MIT surveys, with<br />

adjustments from the 2006 Compustat and Dun &<br />

Bradstreet databases, the appropriate scale factor<br />

depends on the particular statistic or question being<br />

answered.<br />

1. For survey items where we have data on all<br />

companies created over the life of the<br />

entrepreneur, the base scale factor is<br />

approximately 9.476 (i.e., 2.425 * 3.906 =<br />

~9.476). These numbers are approximate because<br />

we actually use more than three digits after the<br />

decimal. We multiply by 2.425 because, as<br />

indicated above, the total population of MIT<br />

alumni is 105,928 and 43,668 responded to the<br />

first survey. To get from 43,668 to 105,928 we<br />

have to multiply by 2.425 (i.e., 105,928/43,668 =<br />

~2.425). Then we multiply by 3.906 because<br />

8,044 indicated that they were entrepreneurs and<br />

only 2,059 responded to the Founder’s Survey<br />

(i.e., 8,044/2,059 = ~3.906). We multiply that by<br />

0.773 to avoid duplicate counting by correcting<br />

for multiple MIT alumni on the same founding<br />

teams. Because 23.4 percent of the <strong>report</strong>ed<br />

companies were out of business by 2003, we<br />

finally multiply by 0.766 to count just those<br />

companies likely to still be active.<br />

2. For items where we only have data on one of the<br />

companies the entrepreneur founded, we then<br />

multiply by 1.61 because 1.61 is the number of<br />

companies on average each entrepreneur has<br />

founded (27 percent of the entrepreneurial alumni<br />

are repeat/serial entrepreneurs). For example, if we<br />

take 100 alumni entrepreneurs, on average they<br />

would have created 161 companies during their<br />

careers. If we only have data on total employees<br />

for one company each (100 companies), then we<br />

must multiple by 1.61 to get an estimate of the<br />

real total number of employees for all the<br />

companies founded by that entrepreneur.<br />

3. We further adjust the scaling factor for items<br />

where data are missing due to entrepreneurs<br />

skipping a survey item. This process may seem<br />

ENTREPRENEURIAL IMPACT: THE ROLE OF MIT 69

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