We study the effects of fiscal policy in response to the COVID-19 pandemic at the firm, sector, country and global level. First, we estimate the impact of COVID-19 and policy responses on small and medium sized enterprise (SME) business failures. We combine firm-level financial data from 50...

We study the leverage of U.S. firms over their life-cycles, and the connection between firm leverage, firm growth, and aggregate shocks. We construct a new dataset that combines private and public firms' balance sheets with firm-level data from U.S. Census Bureau's Longitudinal Business Database...

We estimate the impact of the COVID-19 crisis on business failures among small and medium size enterprises (SMEs) in seventeen countries using a large representative firm-level database. We use a simple model of firm cost-minimization and measure each firm's liquidity shortfall during and after...

This paper assesses the prospects of a 2021 time bomb in SME failures triggered by the generous support policies enacted during the 2020 COVID-19 crisis. Policies implemented in 2020, on their own, do not create a 2021 "time-bomb" for SMEs. Rather, business failures and policy costs remain...

Venture capital (VC) and growth are examined both empirically and theoretically. Empirically, VC-backed startups have higher early growth rates and initial patent quality than non-VC-backed ones. VC-backing increases a startup's likelihood of reaching the right tails of the firm size and...

We study the role of firms' political influence on the effectiveness of government spending using ARRA as a laboratory. Through an IV approach, we show that a 10 percentage points increase in the share of politically connected spending lowers the job creation effect of stimulus by 33 percent at...

This paper describes the adoption of automation technologies by US firms across all economic sectors by leveraging a new module introduced in the 2019 Annual Business Survey, conducted by the US Census Bureau in partnership with the National Center for Science and Engineering Statistics (NCSES)....

We study the early adoption and diffusion of five AI-related technologies (automated-guided vehicles, machine learning, machine vision, natural language processing, and voice recognition) as documented in the 2018 Annual Business Survey of 850,000 firms across the United States. We find that...

Timely and accurate measurement of AI use by firms is both challenging and crucial for understanding the impacts of AI on the U.S. economy. We provide new, real-time estimates of current and expected future use of AI for business purposes based on the Business Trends and Outlook Survey for...