We model platform competition with endogenous data generation, collection, and sharing, thereby providing a unifying framework to evaluate data-related regulation and antitrust policies. Data are jointly produced from users' economic activities and platforms' investments in data infrastructure....

We examine aggregate productivity differences across nations using cross-country firm-level data and a quantitative model of production heterogeneity with distortions featuring operation decisions (selection) and productivity-enhancing investments (technology). Empirically, less developed...

In this paper, we present theory and evidence on the link between wage inequality and foreign competition in concentrated industries. We develop a simple model in which the impact of foreign competition on the relative wages of an economy depends on the market structure of the industry...

We propose a framework to evaluate the potential impact of international competition on firm performance and highlight two points. First, it is important to consider effects on productive efficiency and market power in an integrated framework. The popular concept of (revenue) TFP combines both...

This paper investigates whether an emissions tax (equivalent to an emissions cap) maximizes social welfare (defined as the sum of consumer and producer surplus) in the presence of incomplete regulation (leakage) or market power by analyzing an intensity standard regulating emissions per unit of...

This paper uses a large language model to develop an ex-ante measure of the commercial potential of scientific findings. In addition to validating the measure against the typical holdout sample, we validate it externally against 1.) the progression of scientific findings through a major...

We analyze how expropriation risk reduces incentives for innovation and reallocates resources from the innovative sector, building on Romer's(1990) model. Our framework predicts the R&D expenditure, the share of human capital in R&D, the number of patents, technical progress, and economic growth...

Using dissertation research topics found in the EconLit database and large-scale algorithmic methods that identify author demographics based on names, we explore the link between race and ethnicity and fields of economic research. We find that underrepresented racial and ethnic minority (URM)...

Using the EconLit dissertation database and large-scale algorithmic methods that identify author demographics from names, we investigate the connection between the gender of economics dissertators and dissertation topics. Despite stagnation in the share of women among economics Ph.D.s in recent...

This paper evaluates claims about large macroeconomic implications of new advances in AI. It starts from a task-based model of AI's effects, working through automation and task complementarities. So long as AI's microeconomic effects are driven by cost savings/productivity improvements at the...