Journal of Financial Economics · 2022

Launching with a Parachute: The Gig Economy and New Business Formation

John Manuel Barrios, Yael V. Hochberg & Hanyi Yi

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We study how the gig economy affects new business formation. Using the staggered entry of ridehailing (Uber and Lyft) across U.S. locations from 2000 to 2016, we ask whether access to gig work—a fallback source of income—changes how often people start businesses.

Ridehailing entry raises new business registrations by about 5% (4–6%), with matching increases in small-business lending (about 5%) and in entrepreneurship-related search activity (about 7%). The effect is larger where ex-ante economic uncertainty is higher: a one-standard-deviation increase in local wage-growth volatility adds about 3 percentage points. The pattern is consistent with gig work insuring the downside of starting a business.

Gig Work Spurs Entry

Ridehailing entry raises new business registrations by about 5% (4–6%), consistent with gig income serving as a financial parachute for would-be founders.

Insurance Against Uncertainty

The effect is larger where ex-ante economic uncertainty is higher—about 3 percentage points more per standard deviation of local wage-growth volatility.

Corroborating Margins

Small-business lending rises about 5% and entrepreneurship-related searches about 7%, tracking the registration effect.

Who Responds

Entry rises most in areas with lower education and a higher Hispanic population share, and is U-shaped in credit constraints.

Figure 1: Main Effects of Ridehailing Entry
Difference-in-differences estimates of the effect of ridehailing entry on new business formation. Ridehailing entry raises new business registrations by about 5% (whisker shows the reported 4–6% range), small-business lending by about 5%, and entrepreneurship-related searches by about 7%. The right panel shows the heterogeneity gradient: the effect is roughly 3 percentage points larger in cities with a one-standard-deviation-higher wage-growth volatility.
Figure 1: Main effects of ridehailing entry on new business registrations, small-business lending, and entrepreneurship searches, and the larger effect where local uncertainty is higher
Figure 2: Mechanism and Identification
Conceptual diagram of the mechanism and research design. The entry of ridehailing offers flexible gig income that reduces the downside risk of starting a business. Identification exploits the staggered entry of ridehailing across 1,193 adopting cities (of 2,959 places) from 2000 to 2016 in a difference-in-differences design, with effects strongest where ex-ante economic uncertainty is higher. Summary magnitudes: +5% new business registrations, +5% small-business lending, +7% entrepreneurship searches, and a +3-percentage-point-larger effect per standard deviation of local wage-growth volatility.
Figure 2: Mechanism and identification diagram for the gig economy and new business formation

We use the staggered entry of ridehailing (Uber and Lyft) across 1,193 adopting cities, out of 2,959 places, from 2000 to 2016. Comparing places before and after entry in a difference-in-differences design, we trace effects on new business registrations, small-business lending, and entrepreneurship-related search activity, and we test whether the response is larger where local wage-growth volatility is higher.

Barrios, John Manuel, Yael V. Hochberg, and Hanyi Yi. “Launching with a Parachute: The Gig Economy and New Business Formation.” Journal of Financial Economics 144, no. 1 (2022): 22–43.
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