A large literature shows that the self-employed underreport their income to tax authorities. In this paper, we quantify the extent to which the self-employed also systematically underreport their income in U.S. household surveys. We use the Engel curve describing the relationship between income and expenditures of wage and salary workers to infer the actual income, and thus the reporting gap, of the self-employed based on their reported expenditures. On average, the self-employed underreport their income by about 25%. We show that failing to account for such income underreporting leads to biased conclusions in a variety of settings.

About one-half of all startups fail within five years, and those that survive grow at vastly different speeds. Using Census microdata, we estimate that most of these differences are determined by ex ante heterogeneity rather than persistent ex post shocks. Embedding such heterogeneity in a firm dynamics model shows that the presence of ex ante heterogeneity (i) is a key determinant of the firm size distribution and firm dynamics, (ii) can strongly affect the macroeconomic effects of firm-level frictions, and (iii) helps understand the recently documented decline in business dynamism by showing a disappearance of high-growth startups (“gazelles”) since the mid-1980s.

The U.S. economy has been going through a striking structural transformation--the secular reallocation of employment across sectors--over the past several decades. We propose a decomposition framework to assess the contributions of various margins of firm dynamics to this shift. Using firm-level data, we find that at least 50 percent of the adjustment has been taking place along the entry margin, due to sectors receiving different shares of startup employment than their employment shares. The rest is mostly due to life cycle differences across sectors. Declining overall entry has a small but growing effect of dampening structural transformation.