Does weak hiring at elite firms push top earners into entrepreneurship?
Core argument: A 1% rise in the national unemployment rate is associated with a 0.5% decline in the likelihood of employment at top consulting, finance, and technology firms and a 0.2% increase in the likelihood of entrepreneurship among top earners.
Economic data reveals that top earners are more likely to become entrepreneurs when labor market opportunities decline in top consulting, finance, and technology firms. A 1% increase in the national unemployment rate correlates with a 0.5% decrease in employment likelihood at these firms, leading to a 0.2% increase in entrepreneurship likelihood. This shift is significant given a baseline entrepreneurship rate of 2.2% at graduation, translating to a 15% increase relative to the mean. Notably, startups formed under these conditions often outperform average startups, with 15% receiving venture capital, 4.5% being acquired, and 6% obtaining patents. The majority of these firms emerge in financial, professional, and technical services sectors, reflecting the skillsets of their founders. This trend underscores the potential for labor shocks to enhance entrepreneurial quality and innovation.





Ed Comment: "Not surprising. Smart guys do better and shocks increase the likelihood of entrepreneurship, presumably at all skill levels. Does it say how much a shock affects the top relative to those below the top? Your write up only said "more." "Second, in response to a labor market shock, we find these workers are more likely to enter entrepreneurship relative to other graduates.""
Ben Comment:Here are the magnitudes: "..."we demonstrate that a 1 percentage point increase in the national unemployment rate is associated with a (i) 0.5 percentage points decrease in likelihood of employment with a top consulting, finance, or technology firm, (ii) 0.4 percentage point decline in the likelihood of employment with a firm in the Russell 1000 Index, and (iii) 0.3 percentage points decrease in a high-wage industry."..."
Addressing how much does this change the rate of entrepreneurship: "we estimate a 1 percentage point increase in the national unemployment rate increases the likelihood of entering entrepreneurship by 0.2 percentage points compared to individuals of the same gender graduating from the same institution and major in the prior year. Given a baseline entrepreneurship rate of 2.2% at graduation, a one standard deviation increase in unemployment increases entrepreneurship by 15% relative to the mean. Since differences in entrepreneurship rates remain steady three years after graduation, transitory labor shocks result in the creation of firms that would otherwise not exist in the economy.”
Addressing how successful these starts ups are (good companies): "We find that 15% of our startups receive venture capital, 4.5% are eventually acquired, and 6% receive at least one patent. To confirm labor shocks can impact the entry of successful and innovative ventures, we show that an increase in the unemployment rate increases the rate of (i) large employer firms, (ii) venture-backed firms, (iii) patent-holding firms and (iii) acquired firms.”
And "Compared to firms started during periods of low unemployment, we find forced entrepreneurs have the same employment size, and identical probability of successfully completing an IPO. Strikingly, firms started by entrepreneurs who entered the labor market during distressed labor markets are actually more likely to survive, obtain venture capital financing, produce a patent, or be acquired.”
Addressing the composition of total entrepreneurs: "To be clear our results do not imply recessions increase the level and quality of en- trepreneurship. In fact, the overall effect of recessions on the rate and composition of entrepreneurship is negative (Moreira, 2016)” - more companies are started during recessions but most of these are started by people at the low end of the talent pool. The overall quality of these businesses is low. BUT - the ones started by the high end guys (who were forced to start their own because google wasn’t hiring) is very high.
Regarding how many people get top jobs - it looks like it’s about 9% in their data (6th row).
More detail on company quality: "First, 23% startups remain in business as of 2019, while 9.4% (5.1%) currently employ at least twenty (fifty) workers. Second, at least 6% of the firms created at least one patent, including 2.5% that patent within five years of establishment. Third, 15% received VC funding throughout their firm life, and 12% receive VC funding within five years of establishment. Fourth, 4.5% were acquired by a separate firm. Lastly, 141 startups completed successfully an Initial Public Offering (IPO), representing 5.7% of all IPOs between 1999 and 2012”
Comparing the top 20 to everyone else: "Even after controlling for gender and major, we find (i) graduates of the top twenty institutions are better entrepreneurs than other grad- uates of the sample, and (ii) graduates of the top ten institutions are substantially better entrepreneurs than graduates of the next ten institutions. Relative to the rest of the sample, graduates from top twenty (ten) institutions are 2% (7%) more likely to start a firm with twenty of more employees, 5% (13%) more likely to receive venture capital funding, 2% (3%) more likely to be acquired and 1% (3%) more likely hold at least one patent.”
How badly are top folks shocked? Turns out, a lot: "We estimate that a 1 percentage point increase in the unemployment rate decreases the rate of employment with top finance, consulting, or technology firm by 1.3 percentage points; in comparison, we estimate a 0.24 percentage points decline for all other workers, and this difference is statistically significant at the 1% level. Based on this measure, we find evidence that graduates of highly-ranked undergraduate institutions are particularly exposed to labor market shocks.” However - this defines shocks interestingly. It seems like these people will probably end up ok, just maybe not at top top firms.
So they go on: "We estimate a 0.76 percentage point decrease in the likelihood of joining a Russell 100 employer (compared to a 0.35 percentage point decline for all other workers) and a 0.93 percentage point decrease in employment within a high-wage industry (compared to a 0.072 percentage point decrease for other workers). In both cases the differences in coefficients are statistically different, providing additional evidence that employment shocks are more costly for graduates of high-ranked undergraduate institutions."