Small and young businesses are essential for job creation, innovation, and economic growth. Even most of the superstar firms start their business life small and then grow over time. Small firms have less internal resources, which makes them more fragile and sensitive to macroeconomic conditions. This suggests the need for frequent and real-time monitoring of the small business sector’s health. Previously this was difficult due to a lack of appropriate data. This paper fills this important gap by developing a new Intuit QuickBooks Small Business Index that focuses on the smallest of small businesses with at most 9 workers in the US and the UK and at most 19 workers in Canada. The Index aggregates a sample of anonymous Quick- Books Online Payroll subscriber data (QBO Payroll sample) from 333,000 businesses in the US, 66,000 in Canada, and 25,000 in the UK. After comparing the QBO Payroll sample data to the official statistics, we remove the seasonal components and use a Flexible Least Squares method to calibrate the QBO Payroll sample data against official statistics. Finally, we use the estimated model and the QBO Payroll sample data to generate a near real-time index of economic activity. We show that the estimated model performs well both in-sample and out-of-sample. Additionally, we use this analysis for different regions and industries. Keywords:

Using variation in the timing and location of branches of failed banks we analyze its effect on income inequality. Employing a difference-in-differences specification we find that bank failures increased the GINI by 0.3 units (or 0.7%). We show that the rise in inequality is due to a decrease in the incomes of the poor that outpaces declines of the rest. We further show that individuals with lower levels of education exhibit a relatively greater decline in real wages and weekly hours worked. Exploring channels of transmission, we find income inequality is explained by a general decline in small business loans. This in turn reduces net new small business formation and their job creation capacity, a sector that hires a substantial share of low-income earners.

We present causal evidence on the rent-sharing elasticity of German manufacturing firms. We develop a new firm-level Bartik instrument for firm rents that combines the firms’ predetermined energy input mix with national energy carrier price changes. Instrumental variable estimation yields a rent-sharing elasticity of approximately 0.20 implying that a 10 percent change in rents leads to a 2 percent change in wages. Rent-sharing induced by energy price variation is asymmetric and driven by energy price increases, such that, on average, workers do not benefit from energy price reductions but are harmed by price increases. Reduced-form evidence shows that a 10 percent increase in firm-level energy prices depresses firm-level wage growth by 0.34 percent.