We study the effects of going public using a unique panel of firms in 16 European countries for which we observe financial data before and after initial public offering (IPO) attempts. We compare completed and withdrawn IPO attempts. We instrument the decision to complete the IPO using prior market returns. After instrumenting, we isolate a positive causal effect of going public on profitability. We also find a post-IPO expansion in sales per employee, subsidiaries, and countries in which firms operate. Overall, our results are consistent with going public relaxing financial constraints and inducing a shift in strategy towards increased commercialization.

We examine the determinants of vertical acquisitions using product text linked to product vocabulary from input-output tables. We find that the innovation stage is important in understanding vertical integration. R&D-intensive firms are less likely to become targets of vertical acquisitions. In contrast, firms with patented innovation are more likely to sell to vertically related buyers. Firms’ R&D intensity is a more important deterrent to their vertical acquisitions when the provision of innovation incentives by potential acquirers is more difficult. The role of patents in fostering vertical acquisitions is more prevalent when potential buyers face a higher risk of holdup.

We analyze whether industry competition influences analyst coverage decisions and whether analysts benefit from covering product market competitors. We find that analysts are more likely to cover a firm when this firm competes with more firms already covered by the analyst. We also find that the intensity of competition among these competitors is additionally important to the coverage decision. Moreover, we find that analysts who cover product market competitors are more likely to obtain analyst star status. These results are consistent with the importance to analysts of industry competition and product market knowledge accumulated through covering product market competitors.

We provide evidence that the deregulation of U.S. state banking markets leads to a significant increase in the relative employment and capital growth of local firms with higher productivity, and that this effect is concentrated among young firms. Using financial data for a broad range of firms, our analysis suggests that this effect is driven by a shift in the composition of local bank credit supply toward more productive firms. We estimate that this effect translates into economically important gains in aggregate industry productivity and that changes in the allocation of labor play a central role in driving these gains.

To what extent is a worker's human capital growth affected by the quality of his coworkers? To answer this question, we develop and estimate a model in which the productivity and the human capital growth of an individual depend on the average human capital of his coworkers. The measured production function is supermodular: The marginal product of a more knowledgeable individual is increasing in the human capital of his coworkers. The measured human capital accumulation function is convex: An individual's human capital growth is increasing in coworkers' human capital only when paired with more knowledgeable coworkers, but independent of coworkers' human capital when paired with less knowledgeable coworkers. Learning from coworkers accounts for two thirds of the stock of human capital accumulated on the job. Technological changes that increase production supermodularity lead to labor market segregation and, by reducing the opportunities for low human capital workers to learn from better coworkers, lead to a decline in aggregate human capital and output.