DDBA 8541 Week 9 Sample Frame Appraisal Example

Seminar in Entrepreneurial Finance Walden University Free custom sample in 24 to 48h

This DDBA 8541 Week 9 sample frame appraisal example reads twelve entrepreneurial finance studies for which ventures they could not see. Walden DDBA 8541 asks doctoral students to examine samples rather than summarize findings, and the sample's table records each study's data source, population, point of entry and blind spot, finding nine of the twelve observe a venture only once it raises venture capital. Cochrane's correction for valuations recorded only at rounds and exits shows that timing shapes returns. Moskowitz and Vissing-Jorgensen, Robb and Robinson and Puri and Zarutskie reach ordinary ventures, finding modest returns, reliance on bank debt and different growth. The DBA appraisal judges which claims survive for businesses that never raise outside equity.

CourseDDBA 8541 Seminar in Entrepreneurial Finance
WeekWeek 9
Paper typeLiterature appraisal
LengthAbout 930 words, 6 pages
FormatAPA 7 student paper
SchoolWalden University
ProgramDoctor of Business Administration (DBA)
UpdatedOctober 2026

Free sample paper for DDBA 8541 Week 9

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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

What this page is doingThe title frames the appraisal around sample frames rather than findings and names the population the conclusions are tested against.
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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.

What this page is doingThe appraisal states that it examines samples, not findings, so the reader does not expect a summary of conclusions.
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The Twelve Studies

[after]

Table 1

Sample Frames of Twelve Studies

StudyData sourcePopulation observedEntry pointNot visible |
Sahlman (1990)Venture fund records and industry dataVenture funds and their portfolio companiesAt venture investmentUnfunded ventures |
Gompers (1995)Venture Economics794 venture-backed firmsAt first venture roundUnfunded ventures |
Kaplan and Stromberg (2003)Contracts from 14 venture firms213 investments in 119 companiesAt contractVentures those firms declined |
Kaplan et al. (2009)Business plans and IPO prospectuses50 venture-backed firms that went publicAt early plan, selected on IPOFirms that failed or never listed |
Gompers et al. (2010)Venture databaseEntrepreneurs with venture-backed firmsAt first venture roundFounders without venture backing |
Cochrane (2005)VentureOneVenture rounds and exitsAt each new round or exitValues between rounds; firms never revalued |
Hall and Woodward (2010)Venture-backed company recordsVenture-backed firms from first roundAt first venture roundUnfunded ventures |
Gornall and Strebulaev (2020)Company charters135 U.S. venture-backed firms valued above $1 billionAt unicorn valuationAll smaller firms |
Kerr et al. (2014)Venture data and prior researchVenture-backed startupsAt venture investmentUnfunded ventures |
Puri and Zarutskie (2012)Census business recordsVenture-backed and comparable non-venture firmsAt first employmentFirms with no employees |
Moskowitz and Vissing-Jorgensen (2002)Household survey dataPrivate businesses owned by householdsAt survey dateBusinesses that closed before the survey |
Robb and Robinson (2014)Kauffman Firm SurveyAbout 4,900 firms founded in 2004At founding yearFirms 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.

What this page is doingGaps are grouped by kind, since each kind limits a different set of claims.
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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.

What this page is doingThe appraisal identifies which studies reach the ordinary new business and what they find there.
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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.

More DDBA 8541 papers and DBA samples

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.