| Course | DDBA 8541 Seminar in Entrepreneurial Finance |
|---|---|
| Week | Week 9 |
| Paper type | Literature appraisal |
| Length | About 930 words, 6 pages |
| Format | APA 7 student paper |
| School | Walden University |
| Program | Doctor of Business Administration (DBA) |
| Updated | October 2026 |
Free sample paper for DDBA 8541 Week 9
Which Ventures the Studies Could Not See: Appraising Twelve Entrepreneurial Finance Studies by Their Sample Frames and Asking Which Claims Survive for the Ordinary New Business That Never Raises Outside Equity
Student Name
Walden University
DDBA 8541: Seminar in Entrepreneurial Finance
Instructor Name
Month Day, Year
Which Ventures the Studies Could Not See: Appraising Twelve Entrepreneurial Finance Studies by Their Sample Frames and Asking Which Claims Survive for the Ordinary New Business That Never Raises Outside Equity
The Question
The seminar's reading list teaches a great deal about how ventures are financed, but nearly all of it was learned from ventures that raised venture capital. Most new businesses never do. This appraisal reads twelve studies for their sample frames: where the data came from, which ventures the data could observe, when a venture entered the data and which ventures the study could not see. It then asks which claims survive for the ordinary new business.
The Twelve Studies
[after]
Table 1
Sample Frames of Twelve Studies
| Study | Data source | Population observed | Entry point | Not visible | |
|---|---|---|---|---|
| Sahlman (1990) | Venture fund records and industry data | Venture funds and their portfolio companies | At venture investment | Unfunded ventures | |
| Gompers (1995) | Venture Economics | 794 venture-backed firms | At first venture round | Unfunded ventures | |
| Kaplan and Stromberg (2003) | Contracts from 14 venture firms | 213 investments in 119 companies | At contract | Ventures those firms declined | |
| Kaplan et al. (2009) | Business plans and IPO prospectuses | 50 venture-backed firms that went public | At early plan, selected on IPO | Firms that failed or never listed | |
| Gompers et al. (2010) | Venture database | Entrepreneurs with venture-backed firms | At first venture round | Founders without venture backing | |
| Cochrane (2005) | VentureOne | Venture rounds and exits | At each new round or exit | Values between rounds; firms never revalued | |
| Hall and Woodward (2010) | Venture-backed company records | Venture-backed firms from first round | At first venture round | Unfunded ventures | |
| Gornall and Strebulaev (2020) | Company charters | 135 U.S. venture-backed firms valued above $1 billion | At unicorn valuation | All smaller firms | |
| Kerr et al. (2014) | Venture data and prior research | Venture-backed startups | At venture investment | Unfunded ventures | |
| Puri and Zarutskie (2012) | Census business records | Venture-backed and comparable non-venture firms | At first employment | Firms with no employees | |
| Moskowitz and Vissing-Jorgensen (2002) | Household survey data | Private businesses owned by households | At survey date | Businesses that closed before the survey | |
| Robb and Robinson (2014) | Kauffman Firm Survey | About 4,900 firms founded in 2004 | At founding year | Firms founded in other years | |
The First Gap: Only Funded Firms
Nine of the twelve studies enter a venture into their data only when it raises venture capital. Sahlman (1990), Gompers (1995), Kaplan and Stromberg (2003), Gompers et al. (2010), Hall and Woodward (2010) and Kerr et al. (2014) all observe ventures that have already passed a venture investor's screen. Their findings about contracts, staging, founder persistence and risk are well grounded for that population. They cannot say whether the same patterns hold for the great majority of ventures that never apply for, or never receive, venture funding.
The Second Gap: Selection on Success
Some studies select even more narrowly. Kaplan et al. (2009) followed firms that eventually went public, so their finding that business lines stayed stable while management changed describes successful firms. Firms that changed business lines and failed are absent. Gornall and Strebulaev (2020) studied only companies valued above $1 billion; their finding that reported valuations overstate fair value applies to the instruments those companies used, which are more elaborate than those most ventures use.
The Third Gap: Observation Only at Events
Cochrane (2005) addressed a different selection problem. Venture-backed firms are valued only when they raise a new round or exit, and firms that are doing well are more likely to raise new rounds or go public. Measuring returns only at those events therefore biases them upward. Cochrane corrected for this selection and found that average returns, while still high, were much lower than uncorrected figures suggested. His work shows that the timing of observation, not only the population, shapes conclusions.
Studies That Can See Further
Three studies reach beyond venture-backed firms. Puri and Zarutskie (2012) compared venture-backed firms with similar non-venture firms in census data and reported that venture-backed firms reached greater scale and were less likely than their matched peers to fail in their early years. Moskowitz and Vissing-Jorgensen (2002) used household survey data covering private businesses regardless of financing and found that returns to private business ownership were no higher than returns to public equity, despite the far greater risk owners bear. Robb and Robinson (2014), using the Kauffman Firm Survey, found that new firms rely heavily on external debt, especially bank loans backed by owners' personal assets, rather than on equity from outside investors.
Which Claims Survive for the Ordinary Venture?
Claims about the structure of venture contracts do not transfer, because ordinary ventures do not sign them. Claims about information problems between founders and funders likely transfer in spirit, since lenders also face asymmetry, but the remedies differ: banks rely on collateral and personal guarantees rather than staging and board seats. Claims about high returns do not transfer. Moskowitz and Vissing-Jorgensen's evidence suggests ordinary owners earn modest returns for large risks. Claims about the value of a founder's track record may transfer partly, but Gompers et al. (2010) measured success only as venture-backed success.
Limits of the Appraisal
Twelve studies are a small part of the literature. Sample frames are described from published accounts, which may omit details. And ventures that never borrow or hire, the smallest, remain invisible to nearly every study here.
Conclusion
Readers of this literature should ask, of every finding, at what point a venture entered the data. Much of what the seminar teaches is true of ventures that passed a venture capitalist's screen, and should be applied elsewhere with care.
References
Cochrane, J. H. (2005). The risk and return of venture capital. Journal of Financial Economics, 75(1), 3-52. https://doi.org/10.1016/j.jfineco.2004.03.006
Gompers, P. A. (1995). Optimal investment, monitoring, and the staging of venture capital. Journal of Finance, 50(5), 1461-1489. https://doi.org/10.1111/j.1540-6261.1995.tb05185.x
Gompers, P., Kovner, A., Lerner, J., & Scharfstein, D. (2010). Performance persistence in entrepreneurship. Journal of Financial Economics, 96(1), 18-32. https://doi.org/10.1016/j.jfineco.2009.11.001
Gornall, W., & Strebulaev, I. A. (2020). Squaring venture capital valuations with reality. Journal of Financial Economics, 135(1), 120-143. https://doi.org/10.1016/j.jfineco.2018.04.015
Hall, R. E., & Woodward, S. E. (2010). The burden of the nondiversifiable risk of entrepreneurship. American Economic Review, 100(3), 1163-1194. https://doi.org/10.1257/aer.100.3.1163
Kaplan, S. N., Sensoy, B. A., & Stromberg, P. (2009). Should investors bet on the jockey or the horse? Evidence from the evolution of firms from early business plans to public companies. Journal of Finance, 64(1), 75-115. https://doi.org/10.1111/j.1540-6261.2008.01429.x
Kaplan, S. N., & Stromberg, P. (2003). Financial contracting theory meets the real world: An empirical analysis of venture capital contracts. Review of Economic Studies, 70(2), 281-315. https://doi.org/10.1111/1467-937X.00245
Kerr, W. R., Nanda, R., & Rhodes-Kropf, M. (2014). Entrepreneurship as experimentation. Journal of Economic Perspectives, 28(3), 25-48. https://doi.org/10.1257/jep.28.3.25
Moskowitz, T. J., & Vissing-Jorgensen, A. (2002). The returns to entrepreneurial investment: A private equity premium puzzle? American Economic Review, 92(4), 745-778. https://doi.org/10.1257/00028280260344452
Puri, M., & Zarutskie, R. (2012). On the life cycle dynamics of venture-capital- and non-venture-capital-financed firms. Journal of Finance, 67(6), 2247-2293. https://doi.org/10.1111/j.1540-6261.2012.01786.x
Robb, A. M., & Robinson, D. T. (2014). The capital structure decisions of new firms. Review of Financial Studies, 27(1), 153-179. https://doi.org/10.1093/rfs/hhs072
Sahlman, W. A. (1990). The structure and governance of venture-capital organizations. Journal of Financial Economics, 27(2), 473-521. https://doi.org/10.1016/0304-405X(90)90065-8
DDBA 8541 Week 9 instructions, in plain terms
Week 9 asks you to appraise a set of studies by their samples. Build a table recording, for each study, the data source, the population it could observe, the moment a venture enters the data and the ventures it could not see. Group the gaps by kind, such as funded firms only, selection on success and observation only at events. Identify which studies reach beyond the narrow population and what they find. Then judge which claims transfer to the population you care about and which do not, and close with the limits of your own appraisal. Keep summaries of findings brief; the samples are the subject.
How the DDBA 8541 Week 9 example is put together
The sample's table covers studies from Sahlman's account of venture organizations to the Kauffman Firm Survey's roughly 4,900 firms founded in 2004. The first gap section notes six studies built on venture databases. The second covers successful-firm selection in the business-plans-to-IPO study and the unicorn charters study. The third explains Cochrane's correction. The reaching-further section reports matched census comparisons, household survey returns no higher than public equity and new firms' reliance on owner-backed bank loans. The transfer section separates contract structure, which does not carry over, from information problems, which do in spirit. A limits section notes that ventures that never borrow or hire remain invisible to nearly every study.
Where the marks sit in the DDBA 8541 Week 9 rubric
The appraisal is judged first on whether it examines samples rather than findings; a review reporting what twelve studies concluded, however accurately, has not done the week's work. Most weight follows the point-of-entry column and the argument built on it, since knowing when a venture becomes visible reveals which ventures a study cannot see. Doctoral credit goes to measuring consequences, with studies that reach ordinary ventures cited accurately. The transfer judgment should be specific, claim by claim. Acknowledging that the smallest ventures remain invisible shows awareness of the appraisal's own boundary. Accurate description of each study's data, without overstating sample sizes or populations, is checked.
Common DDBA 8541 Week 9 mistakes, and how to avoid them
For each study, find the data section and write down the source, the years and how firms were selected. Then ask the key question: at what moment does a venture first appear in this data? That moment tells you who is missing. Group studies by the type of gap rather than discussing them one by one. Look specifically for studies using census, household or survey data, since they reach unfunded ventures. Be precise about what each finds. When judging transfer, separate claims about contracts, information and returns, since they travel differently. A table is the natural format for the sample frames; keep the prose for grouping and judgment. Close with what your own appraisal cannot see, such as ventures that never borrow or hire. Precise wording about populations matters more than length.
Get a DDBA 8541 Week 9 example written to your instructions
Send the reading list or set of studies your section is appraising with the Week 9 prompt and rubric; the appraisal and its sample table come back inside 24-48h, and the first costs nothing. If your instructor names the database or survey behind a study, include it, since the table's accuracy depends on it.
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DDBA 8541 Week 9 questions, answered
Where can I find a free DDBA 8541 Week 9 sample paper?
The twelve-study sample frame table and the appraisal around it appear whole in the sample section, free.
What does the DDBA 8541 Week 9 appraisal examine?
The sample frames of twelve studies, recording which ventures each could and could not observe.
How many studies see only venture-backed firms?
Nine of the twelve enter a venture into their data only once it raises venture capital.
What did Cochrane correct for?
Valuations recorded only at new rounds or exits, which bias measured returns upward.
What do studies of ordinary ventures find?
Modest returns to private business ownership and heavy reliance on bank debt rather than outside equity.