I estimate the effect of uncertainty on risky innovation using a panel of 11,417 manufacturing firms. I find that an increase in uncertainty has a large negative effect on the risky innovation of entrepreneurial firms, while it does not have any significant impact on other firms. This negative effect is stronger for the less diversified entrepreneurial firms in the sample. The estimation results are consistent with the innovation dynamics generated in a model in which entrepreneurs are risk averse and cannot diversify the risk of their business.

We consider a dynamic multifactor model of investment with financing imperfections, adjustment costs and fixed and variable capital. We use the model to derive a test of financing constraints based on a reduced form variable capital equation. Simulation results show that this test correctly identifies financially constrained firms even when the estimation of firms’ investment opportunities is very noisy. In addition, the test is well specified in the presence of both concave and convex adjustment costs of fixed capital. We confirm empirically the validity of this test on a sample of small Italian manufacturing companies.

We analyze a multiyear, multicountry entrepreneurship survey with more than one million observations to identify startups with low and high growth potential. We confirm the validity of these ex ante measures with ex post firm-level information on employment growth. We find that negative aggregate financial shocks reduce all startup types, but their effect is significantly stronger for startups with high growth potential, especially when GDP growth is low. Our results uncover a new composition of entry channel that significantly reduces employment growth and is potentially important for explaining slow recoveries after financial crises.

Firms consider wages, current and expected productivity, as well as firing and hiring costs when firing a worker. Financing constraints distort this intertemporal trade-off, leading firms to sub-optimally fire short-tenured workers with high future expected productivity. We provide empirical evidence of this distortion using matched employer-employee data from the Swedish population between 2000 and 2010. We propose a new empirical strategy that uses credit ratings to identify financing constraints and uses exchange rates and trade data to identify demand shocks. Our empirical results identify an important new misallocation effect of financial frictions that operates within firms across different types of workers.

We study entry into entrepreneurship during the COVID-19 recession of 2020 using new data from an extensive survey of more than 24,000 Spanish households, conducted between June and November 2020. We find that while the overall decline in the startup rate in 2020 was large, and of a similar magnitude as that during the Great Recession, the differential impact depending on ex ante income was starkly different. During 2020, the drop in firm entry was entirely concentrated among low- and medium-income households. We show that the entrepreneurship gap between these households and their high-income counterparts is not directly explained by social distancing, since it is mostly driven by the sectors not directly affected by lockdown measures, and it is larger among households that did not suffer a negative income shock during the pandemic. Our results instead indicate that high-income households performed relatively better during the COVID-19 recession because they had the means to exploit new business opportunities, thanks to their larger wealth and better access to external finance.