A long‐standing controversy is whether leveraged buyouts (LBOs) relieve managers from short‐term pressures from public shareholders, or whether LBO funds themselves sacrifice long‐term growth to boost short‐term performance. We examine one form of long‐run activity, namely, investments in innovation as measured by patenting activity. Based on 472 LBO transactions, we find no evidence that LBOs sacrifice long‐term investments. LBO firm patents are more cited (a proxy for economic importance), show no shifts in the fundamental nature of the research, and become more concentrated in important areas of companies' innovative portfolios.

We examine two views of the creation of venture‐backed start‐ups, or “entrepreneurial spawning.” In one, young firms prepare employees for entrepreneurship, educating them about the process, and exposing them to relevant networks. In the other, individuals become entrepreneurs when large bureaucratic employers do not fund their ideas. Controlling for firm size, patents, and industry, the most prolific spawners are originally venture‐backed companies located in Silicon Valley and Massachusetts. Undiversified firms spawn more firms. Silicon Valley, Massachusetts, and originally venture‐backed firms typically spawn firms only peripherally related to their core businesses. Overall, entrepreneurial learning and networks appear important in creating venture‐backed firms.

There are substantial differences between open-source projects and traditional innovative efforts in private firms. Private firms usually pay their workers, direct and manage their efforts, and control the output and intellectual property created. In an open-source project, however, a body of original material is made publicly available for others to use, under certain conditions. Contributions to open-source projects are made by a diverse array of individual contributors, and for-profit corporations, who must often agree to make enhancements to the original material widely available for nominal cost. This paper empirically examines the dynamics of contributions to open-source software projects. We show that the share of corporate contributions in a sample of approximately 100 open-source projects between 2001 and 2004 is greater in larger and growing projects.

A mathematical model is analyzed to determine the impact of two alternative monetary policies upon the rate of change of prices and the level of real national income. The first is a once and for all change in the rate of growth of the money supply to a new level; the second is found through an optimization analysis using the maximum principle of postaudit. It is found that the second policy not only leads to a final equilibrium position in less time than the first policy, but it also induces less variability in both prices and real income.

We explore the evolution of financial innovation using US finance patents. Patented financial innovations are substantial and increasingly economically important. Their subject matter has changed, consistent with the industry’s shift toward household investors and borrowers. Information technology (IT) and other nonfinancial firms drove the surge in financial patenting. The location of innovation shifted, with banks moving activity away from states with tight financial regulation and high-tech regions attracting innovation by payments, IT, and nonfinancial firms. Analyses of returns suggest that the social value of these innovations is higher than their private value. We present a simple model to explain these trends.

We identify phrases associated with novel technologies using textual analysis of patents, job postings, and earnings calls, enabling us to identify four stylized facts on the diffusion of jobs relating to new technologies. First, the development of economically impactful new technologies is geographically highly concentrated, more so even than overall patenting: 56% of the most economically impactful technologies come from just two U.S. locations, Silicon Valley and the Northeast Corridor. Second, as the technologies mature and the number of related jobs grows, hiring spreads geographically. This process is very slow, taking around 50 years to disperse fully. Third, while initial hiring in new technologies is highly skill-biased, over time the mean skill level in new positions declines, drawing in an increasing number of lower-skilled workers. Finally, the geographic spread of hiring is slowest for higher-skilled positions, with the locations where new technologies were pioneered remaining the focus for the technology's high-skill jobs for decades.

Private equity critics claim that leveraged buyouts bring huge job losses and few gains in operating performance. To evaluate these claims, we construct and analyze a new dataset that covers US buyouts from 1980 to 2005. We track 3,200 target firms and their 150,000 establishments before and after acquisition, comparing to controls defined by industry, size, age, and prior growth. Buyouts lead to modest net job losses but large increases in gross job creation and destruction. Buyouts also bring TFP gains at target firms, mainly through accelerated exit of less productive establishments and greater entry of highly productive ones.