Entrepreneurs: Jacks of all Trades or Hobos?

Human capital investment theory suggests that entrepreneurs should be generalists, while those who work for others should be specialists; it also predicts higher incomes for entrepreneurs with generalist skills. An alternative view predicts that those with greater taste for variety are more likely to become entrepreneurs and that entrepreneurs will see their incomes decrease with greater skill variety. Data from a survey of 830 independent inventors and 300 individuals from the general population confirm that inventor-entrepreneurs typically have a more varied labor market experience. However, the more varied their experience, the lower their household income. The results support the interpretation that both choice of entrepreneurship and investment in generalist skills are driven by a taste for variety.Entrepreneurship, employment choice, skill, jack-of-all-trades, taste for variety.

Preference for Skew in Lotteries: Evidence from the Laboratory

Using a laboratory experiment we investigate how skew inuences choices under risk. We find that subjects make significantly riskier choices when the distribution of payoffs is positively skewed, these choices being driven in part by the shape of the utility function but also by subjective distortion of probabilities. A utility model with probability distortion calibrated on laboratory data is able to explain why most gamblers in public lotteries buy only a small number of tickets.risk; skew; gambling; lab experiment

Preference for Skew in Lotteries: Evidence from the Laboratory

Using a laboratory experiment we investigate how skew in uences choices under risk. We find that subjects make significantly riskier choices when the distribution of payoffs is positively skewed, these choices being driven in part by the shape of the utility function but also by subjective distortion of probabilities. A utility model with probability distortion calibrated on laboratory data is able to explain why most gamblers in public lotteries buy only a small number of tickets.Risk; Skew; Gambling; Lab Experiment

The Economic Returns to Entrepreneurship – Implications for Stimulating Entrepreneurship

Recent evidence comparing earnings from entrepreneurship versus wage earning shows that, after allowing for obvious observable differences, most entrepreneurs in most developed countries earn less than similar wage-earning employees. Does this mean that the decision to become an entrepreneur should be discouraged? The answer depends in part on whether we believe that entrepreneurs report their income truthfully or not. Adjusting for what is considered to be underreporting by entrepreneurs lifts entrepreneurial earnings by between 10% and 40%, reversing the fortunes of the entrepreneur such that they appear to be earning much more than their counterparts in a wage-earning job. If this adjustment should prove to be appropriate, then there is no obvious reason to increase the incentive for individuals to become entrepreneurs (such as with tax breaks or direct start-up subsidies) in developed countries, and there is reason, instead, to discuss decreasing these subsidies

The Return to Independent Invention: Evidence of Risk Seeking, Extreme Optimism or Skewness-Loving

International audienceExamining a sample of 1,091 inventions I investigate the magnitude and distribution of the pretax internal rate of return (IRR) to inventive activity. The average IRR on a portfolio investment in these inventions is 11.4%. This is higher than the risk-free rate but lower than the long-run return on high-risk securities and the long-run return on early-stage venture capital funds. The portfolio IRR is significantly higher, for some ex ante identifiable classes of inventions. The distribution of return is skew: only between 7-9% reach the market. Of the 75 inventions that did, six realised returns above 1400%, 60% obtained negative returns and the median was negative

Sunk Costs and the Depth and Probability of Technology Adoption

International audienceI propose that sunk costs of learning and the output over which these costs are spread determine the probability and depth of technology adoption. Depth of adoption describes the extent to which firms exploit the advantages of the technology. I find that plant size but not firm size predicts CAD and CNC adoption. Learning costs are lumpy, are closely connected to technology adoption and determine both the probability and depth of adoption. Depth of adoption is considerably more plant idiosyncratic than the decision to adopt

Gross, Net, and New Job Creation by Entrepreneurs

Using a dataset with over 24 million observations and the universe of more than 230,000 entries into entrepreneurship we analyze the gross (including the founders), net (excluding the founders), and new (jobs to the former unemployed or those outside the labor force) job creation by entrepreneurs two and six years after start-up. These novel measures of job creation shows that the average entrepreneur does not create any jobs for any other than him/her-self, and typically arrives from having another job. Thus, short term job creation by entrepreneurs involves a reshuffling of jobs from older to new firms rather than creating new jobs

The Effects of a Training Program to Encourage Social Entrepreneurship

We use two sequential randomized controlled trials (RCTs) to study the impact of the first two editions of a 12-day intensive training program that cost about 12,000 euros (approx. $14,878) per participant to encourage youth to become leaders in social entrepreneurship. The first edition of the program showed no robust treatment effects. The program was adjusted to reduce leadership training and increase “hard skills” entrepreneurship training. The second edition of the program had treatment effects on entrepreneurial activities and the creation of a new venture during the program, as well as subsequent start-up activity. In both RCTs, participants who had made more entrepreneurial progress before the start of the program made more progress afterward, irre-spective of treatment. Those with the highest pretreatment expectations made the least progress, irrespective of treatment. Training people to learn entrepreneurship seems to be difficult and costly, but repeated field experiments will increase our knowledge of the impact of entrepreneurship training