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Risk attitudes of nascent entrepreneurs–new evidence from an experimentally validated survey

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Abstract

The influence of risk aversion on the decision to become self-employed is a much discussed topic in the entrepreneurial literature. Conventional wisdom asserts that being an entrepreneur means making risky decisions; hence more risk-averse individuals are less likely to become entrepreneurs. In contrast to previous research, we are able to examine empirically whether the decision of starting a business is influenced by objectively measurable risk attitudes at the time when this decision is made. Our results show that in general, individuals with lower risk aversion are more likely to become self-employed. Sensitivity analysis reveals, however, that this is true only for people coming out of regular employment, whereas for individuals coming out of unemployment or inactivity, risk attitudes do not seem to play a role in the decision process.

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Notes

  1. Interestingly, nascent entrepreneurs are not immune to overconfidence when they are making a self-assessment of their entrepreneurial skills and experience. Recent findings by Köllinger et al. (2005b) suggest that a perception bias exists in particular among nascent entrepreneurs. Unfortunately, it is not yet clear to what extent subjectively perceived skills are correlated with objectively measurable skills. For more information on this topic, see also Köllinger et al. (2005a) and Arenius and Minniti (2005).

  2. The SOEP was started in 1984 as a longitudinal survey of private households and persons in West Germany and was expanded to the territory of East Germany in June 1990. The central aim of this panel study is to collect representative micro-data on persons, households and families. It is similar to the BHPS for the UK and the PSID for the US. A rather stable set of core questions is asked every year covering the most essential areas such as ‘population and demography’, ‘education, training, and qualification’, ‘labor market and occupational dynamics’, ‘earnings, income and social security’, ‘housing’, ‘health’, ‘household production’ and ‘basic orientation’. For a more detailed data description, see Haisken De-New and Frick (2005).

  3. Individuals who had missing values in one of the variables used in the latter estimations were excluded from the sample.

  4. Our results are not sensitive to this classification, see footnote 8 in Sect. 3.

  5. See Table B.1 in the Appendix for the original phrases of the risk measures.

  6. See Table B.1 in the Appendix for a detailed description of the used variables.

  7. It should be noted, that the differences between the standard logit and the rare events logit model turn out to be negligible in our setting since the general results stay unchanged. Standard logit results are available on request by the authors. Estimations are done using the \({\tt RELOGIT}\) Stata ado package by King and Zheng.

  8. We tested the sensitivity of our results with respect to the chosen risk categories. When we included all possible answers to the hypothetical investment question as separate dummies, the category indicating investment of the full 100,000 Euros had a positive and highly significant coefficient. The marginal effects of the other (statistically not significant) dummies monotonically increased with the size of invested amounts, from a 1% point higher entry probability when the individual invests 20,000 Euros (in comparison to investing nothing) to 7.6% points when he/she invests the full amount. The other risk measures presented a similar picture, with the effects of the highest willingness to take risks being largest and most significant. In summary, our finding that less risk-averse individuals are more likely to enter self-employment seems to be driven to a large extent by those individuals who have the lowest risk aversion. Full results are available upon request.

  9. Full estimation results are available on request.

  10. For more information on the data collection methods of the GEM, see Reynolds et al. (2005). For the German GEM data used for the analysis of risk attitudes, see Sternberg et al. (2001) and for some interesting analysis of that year’s REM data of Germany, see Wagner and Sternberg (2005).

  11. We should emphasize once more that the individual perception of one’s entrepreneurial abilities are not necessarily equal to the objectively measurable abilities, see inter alia Köllinger et al. (2005b).

  12. It seems to be a stable pattern that previously employed entrepreneurs start their businesses with more capital and a higher pace of employment growth than previously unemployed entrepreneurs (Hinz and Jungbauer-Gans 1999). Recent surveys of an entrepreneurship monitor run by the German public bank KfW in 2005 confirm this observation (Kreditanstalt für Wiederaufbau 2005).

  13. The latter finding—women are more risk-averse than men—is a more general one and also found in other countries; see Croson and Gneezy (2004) for a recent survey of gender differences in preferences.

  14. It has to be pointed out, that Wagner (2007), again making use of the German REM data, found a corresponding result as men differ from women in their fear of failing as an entrepreneur in a way that the gender gap can also be explained by this variable.

References

  • Arenius, P., & Minniti, M. (2005). Perceptual variables and nascent entrepreneurship. Small Business Economics, 24, 233–247.

    Article  Google Scholar 

  • Barsky, R., Juster, F., Kimball, M., & Shapiro, M. (1997). Preference parameters and behavioral heterogeneity: An experimental approach in the health and retirement study. The Quarterly Journal of Economics, 111, 537–579.

    Article  Google Scholar 

  • Blanchflower, D., & Oswald, A. (1998). What makes an entrepreneur? Journal of Labor Economics, 6, 26–60.

    Article  Google Scholar 

  • Cramer, J., Hartog, J., Jonker, N., & Van Praag, C. (2002). Low risk aversion encourages the choice for entrepreneurchip: An empircal test of a truism. Journal of Economic Behavior and Organization, 48, 29–36.

    Article  Google Scholar 

  • Croson, R., & Gneezy, U. (2004). Gender differences in preferences. Working paper, Wharton School, University of Pennsylvania.

  • Dohmen, T., Falk, A., Huffman, D., Sunde, U., Schupp, J., & Wagner, G. (2005). Individual risk attitudes: New evidence from a large, representative, experimentally-validated survey, Discussion paper no. 511, DIW Berlin.

  • Dunn, T., & Holtz-Eakin, D. (2000). Financial capital, human capital, and the transition to self-employment: Evidence from intergenerational links. Journal of Labor Economics, 18, 282–305.

    Article  Google Scholar 

  • Ekelund, J., Johannson, E., Järvelin, M., & Lichtermann, D. (2005). Self-employment and risk aversion—evidence from psychological test data. Labour Economics,12, 649–659.

    Article  Google Scholar 

  • Gifford, S. (2003). Risk and uncertainty. In Z. Acs & D. Audretsch (Eds.), Handbook of entrepreneurship research: An interdisciplinary survey and introduction (pp. 37–52). Kluwer Academic Publishers.

  • Haisken De-New, J., & Frick, J. (2005). Desktop compendium to the German socio-economic panel study (SOEP). Berlin: DIW.

    Google Scholar 

  • Hinz, T., & Jungbauer-Gans, M. (1999). Starting a business after unemployment: Characteristics and chances of success (empirical evidence from a regional German labour market). Entrepreneurship and Regional Develoment, 11, 317–333.

    Article  Google Scholar 

  • Johannson, E. (2000). Self-employment and liquidity constraints—evidence from Finland. Scandinavian Journal of Economics, 102, 123–134.

    Article  Google Scholar 

  • Kihlstrom, R., & Laffont, J. (1979). A general equilibrium theory of firm formation based on risk aversion. Journal of Political Economy, 87, 719–748.

    Article  Google Scholar 

  • King, G., & Zeng, L. (2003). Logistic regression in rare events data. Journal of Statistical Software, 8(2), 137–163.

    Google Scholar 

  • Köllinger, P., Minniti, M., & Schade, C. (2005a). Entrepreneurial overconfidence: Evidence from a C.A.R.T. approach. Discussion paper 465, DIW Berlin.

  • Köllinger, P., Minniti, M., & Schade, C. (2005b). "I think I can, I think I can": Overconfidence and entrepreneurial behavior. Discussion paper 501, DIW.

  • Kreditanstalt für Wiederaufbau (2005). KfW-Gründungsmonitor 2005. Jährliche Analyse von Struktur und Dynamik des Gründungsgeschehens in Deutschland, Report, Frankfurt.

  • Lentz, B., & Laband, D. (1990). Entrepreneurial success and occupational inheritance among proprietors. Canadian Journal of Economics, 23, 563–579.

    Article  Google Scholar 

  • Müller, G. (1999). Personality and entrepreneurship—measurement and analysis of dispositional influences. Wirtschaftspsychologie, 6, 2–12.

    Google Scholar 

  • Pratt, J. (1964). Risk aversion in the small and in the large. Econometrica, 32, 122–136.

    Article  Google Scholar 

  • Rauch, A., & Frese, M. (2000). Psychological approaches to entrepreneurial success: A general model and an overview of findings. In C. Cooper & I. Robertson (Eds.), International review of industrial and organizational psychology (pp. 101–142). Wiley.

  • Rees, H., & Shah, A. (1986). An empirical analysis of self-employment in the UK. Journal of Applied Econometrics, 1, 95–108.

    Article  Google Scholar 

  • Reynolds, P., Bosma, N., & Autio, E. (2005). Global entrepreneurship monitor: data collection design and implementation 1998–2003. Small Business Economics, 24, 205–231.

    Article  Google Scholar 

  • Rosen, H., & Willen, P. (2002). Risk, return and self-employment. Discussion paper, University of Princeton.

  • Schiller, B., & Crewson, P. (1997). Entrepreneurial origins: A longitudinal inquiry. Economic Inquiry, 35, 523–531.

    Article  Google Scholar 

  • Sternberg, R., Bergmann, H., & Tamásy, C. (2001). Global entrepreneurship monitor. Länderbericht Deutschland 2001. Discussion paper, Wirtschafts- und Sozialwissenschaftliches Institut, Universität zu Köln.

  • Stewart, W., Watson, W., Carland, J., & Carland, J. (1999). A proclivity for entrepreneurship: A comparison of entrepreneurs, small business owners, and corporate managers. Journal of Business Venturing, 14, 189–214.

    Article  Google Scholar 

  • Van Praag, C., & Cramer, J. (2001). The roots of entrepreneurship and labour demand: Individual ability and low risk aversion. Economica (pp. 45–62).

  • Wagner, J. (2003). The impact of personal characteristics and the regional milieu on the transition from unemployment to self-employment: Empirical evidence for Germany. Jahrbücher für Nationalökonomie und Statistik, 223(2), 204–221.

    Google Scholar 

  • Wagner, J. (2007). What a difference a Y makes—female and male nascent entrepreneurs in Germany. Small Business Economics, 28, 1–21.

    Article  Google Scholar 

  • Wagner, J., & Sternberg, R. (2005). Personal and regional determinants of entrepreneurial activities: Empirical evidence from the regional entrepreneurship monitor (REM). Jahrbuch für Regionalwissenschaft, 25, 91–105

    Google Scholar 

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Acknowledgments

The authors thank Friedel Bolle, Peter Haan, Dieter Nautz, Michael Frese, Günther Müller, Viktor Steiner, Joachim Wagner, the editor and two anonymous referees for valuable comments. The usual disclaimer applies.

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Correspondence to Marco Caliendo.

Appendices

Appendix A: Arrow–Pratt coefficient of relative risk aversion

From the responses to the hypothetical investment question, under certain assumptions, we can calculate proxies for individual Arrow–Pratt coefficients of RRA. Utility is a function of wealth. Individuals may choose to invest an amount inv between zero and x = 100,000 Euros (the hypothetical windfall gain). There are equal probabilities α of earning a profit of inv and losing half of it. Thus, the agent maximizes his/her expected utility subject to the budget constraint:

$$ \begin{array}{ll} {\hbox{max}}&\left(\alpha U(x+inv)+\alpha U\left(x-\frac{inv}{2}\right)\right)={\hbox{max}}(f(inv))\\ {\hbox{s.t.}}&0\leq inv \leq 100,000\end{array} $$
(2)

The problem is solved by finding the null of the first derivative:

$$ \begin{array}{lll} f^{\prime}(inv)=0&\mathop{\Longrightarrow}\limits^{\alpha > 0} & U^{\prime}(x+inv)=\frac{1}{2}U^{\prime}\left(x-\frac{inv}{2}\right)\\ &\mathop{\Longrightarrow}\limits^{Taylor-approx.} & U^{\prime}(x)+inv U^{\prime\prime}(x)\approx \frac{1}{2}U^{\prime}(x)-\frac{inv}{4}U^{\prime\prime}(x)\\&\mathop{\Longrightarrow}\limits^{inv\neq 0\wedge U^{\prime}(x)\neq 0} &\rho _{ARA}=\frac{-U^{\prime\prime}(x)}{U^{\prime}(x)}\approx\frac{2}{5inv}\end{array} $$
(3)

Individuals cannot indicate risk-neutral or risk-loving attitudes by construction of the hypothetical investment question, which implies the assumption \(U''(x) < 0\forall x. \) As α > 0, it follows that

$$ f^{\prime\prime}(inv)= \alpha U''(x+inv)+\frac{1}{4}\alpha U^{\prime\prime}(x-\frac{inv}{2}) < 0\forall inv\\ $$
(4)

Thus, f(inv) reaches its global maximum at the null. ρARA is the Arrow–Pratt measure of absolute risk aversion. We approximate the individual’s total wealth endowment w with the hypothetical 100,000 Euros to calculate the coefficient of RRA ρRRA:

$$ \rho_{\rm RRA} = \rho _{\rm ARA} \cdot w \approx \frac{2}{5inv}\cdot 100,000 $$
(5)

As inv is nonnegative, ρRRA is always positive (risk averse agents). If an individual chooses to invest nothing (inv = 0), we arbitrarily set his/her ρRRA to 4 (double the coefficient of an individual choosing the smallest investment possible, i.e., 20,000 Euros). The results remain basically unchanged, albeit somewhat less significant, if ρRRA is set to 8 or 16.

Appendix B: Definition of variables used in the estimations

Table B.1 Detailed description of the risk measures used
Table B.2 Detailed description of the variables used

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Caliendo, M., Fossen, F.M. & Kritikos, A.S. Risk attitudes of nascent entrepreneurs–new evidence from an experimentally validated survey. Small Bus Econ 32, 153–167 (2009). https://doi.org/10.1007/s11187-007-9078-6

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