Motivated by the establishment of major U.S. Federal programs seeking to harness the potential of regional innovation ecosystems, we assess the promise and challenges of place-based innovation policy interventions. Relative to traditional research grants, place-based innovation policy...

We use daily administrative data from a leading automobile manufacturer to study the organizational impacts of introducing new models to the auto assembly line. We first show that costly defects per vehicle spike when new models are introduced. As a response, the firm trains in problem-solving...

Is the labor market for US researchers experiencing the best or worst of times? This paper analyzes the market for recently minted Ph.D. recipients using supply-and-demand logic and data linking graduate students to their dissertations and W2 tax records. We also construct a new...

We develop measures of labor-saving and labor-augmenting technology exposure using textual analysis of patents and job tasks. Using US administrative data, we show that both measures negatively predict earnings growth of individual incumbent workers. While labor-saving technologies predict...

We study the relationships between corporate R&D and three components of public science: knowledge, human capital, and invention. We identify the relationships through firm-specific exposure to changes in federal agency R\&D budgets that are driven by the political composition of congressional...

Open source is key to innovation, but we know little about how to incentivize it. In this paper, we examine the impact of a program providing monetary incentives to motivate innovators to contribute to open source. The Sponsors program was introduced by GitHub in May 2019 and enabled...

We evaluate the introduction of direct-acting antiviral (DAA) therapy for Hepatitis C (HCV) on liver transplant allocation in the United States. We develop a model of listing and organ acceptance behavior for patients with both HCV-positive and HCV-negative end-stage liver disease. In the model,...

We document that monetary policy has a substantial impact on innovation activities. After a tightening shock of 100 basis points, research and development (R&D) spending declines by about 1 to 3 percent and venture capital (VC) investment declines by about 25 percent in the following 1 to 3...

We ask whether a technical objective of using human performance of tasks as a benchmark for AI performance will result in the negative outcomes highlighted in prior work in terms of jobs and inequality. Instead, we argue that task automation, especially when driven by AI advances, can enhance...

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...