Knowledge that Transforms

This article reviews the theory of imperfectly competitive financial markets, with special attention to recent contributions and rapidly growing areas of research. We highlight the methodological advances that have led to a unified analytic framework for static, dynamic, centralized, and decentralized markets. Accounting for imperfect competition has not only reshaped our understanding of financial market data but also underscored the importance of market structure, motivated novel policy tools and objectives, and opened new avenues for market design. We identify areas where new models and techniques could enable further progress on equilibrium and market design analyses for markets with large players.

This paper provides analytic guides to recent literature on China’s macroeconomic development, emphasizing the critical role of the gradualist reform approach. Our analysis suggests that from 1978 to 1997, the gradualist approach contributed to China’s aggregate total factor productivity and economic growth primarily through policies that facilitated the reallocation of surplus labor from agriculture to nonagricultural sectors. Since 1998, the government’s focus shifted, with various reforms encouraging large enterprises, whether state owned or privately owned, to enter capital-intensive sectors, making capital deepening the main driver of economic growth. While this strategy sustained China’s GDP growth, it also increased trade tensions with global partners, created barriers to transitioning to a consumption-led economy, and threatened China’s long-term financial stability, casting long shadows over the Chinese economy.

We survey the recent literature in economics using open-ended survey data to uncover mechanisms behind economic beliefs and behaviors. We first provide an overview of different applications, including the measurement of motives, mental models, narratives, attention, information transmission, and recall. We next describe different ways of eliciting open-ended responses, including single-item open-ended questions, speech recordings, and artificial intelligence–powered qualitative interviews. Subsequently, we discuss methods to annotate and analyze such data with a focus on recent advances in large language models. Our review concludes with a discussion of promising avenues for future research.

Natural experiments, high stakes, expert subjects, knowledge of the precise objectives and exact rules, clean measurement, observability of strategies, incentives, actions and consequences, large datasets, exogenous rule changes, distinct social effects, and no Hawthorne effects. These and other desirable attributes for empirical work are found in sports settings. In sports, features that often characterize either the lab or the field are found simultaneously. Sports can offer the best of both worlds. Reluctance to recognize these advantages reflects a misunderstanding of the virtues of sports data, and this reluctance has discouraged the study of these settings and slowed down the production of knowledge. This survey reviews literature that shows how sports settings have made it possible to implement the first successful test, or the best test to date, of various models and hypotheses, and to discover new phenomena. It is not a question of what economics can do for sports, but what sports can do for economics.

We assess the effect of the built environment on low-cost helping behavior toward neighbors. The setting is households in Shanghai, China that, due to rapid development, were involuntarily, i.e. as good as randomly, relocated to different building structures. Using a natural field experiment of misdelivered mail, we test the causal effect of spatial proximity and the built environment on helping behavior. Living one floor apart reduces the willingness to help a neighbor by 16 percentage points, similar to adding one more apartment per floor. Small spatial barriers can profoundly shape social interactions, and helping behavior, in urban settings.

Platform-based information sharing among competing firms presents challenges for antitrust authorities, yet effective remedies remain unclear. Drawing inspiration from the Informed Sources retail gasoline antitrust case, we develop a theoretical model that offers policy guidance for disrupting anticompetitive coordination facilitated through price-sharing platforms. Removing only one firm from a platform may be ineffective for disrupting such coordination. However, competitive benefits can emerge if (i) at least two firms lack platform access, and (ii) the costs of price leadership are sufficiently high. More broadly, coordinating price increases becomes more difficult when multiple firms cannot quickly observe or respond to rivals' prices.

Dispersion in marginal revenue products of capital (MRPK) across firms may lower aggregate productivity through misallocation. Using firm-level panel data from China, I document that MRPK dispersion decreases substantially with firm age, particularly before age five. Building on this novel fact, I propose a new interpretation of MRPK dispersion as resulting from firm life-cycle learning. To formalize this idea, I develop a quantitative model in which firms learn about their fundamental productivity as they age in a frictional market with endogenous exits. I find that omitting learning can result in considerable overestimation of TFP losses from "distortions" .

Adolescents in Sub-Saharan Africa face high rates of intimate partner violence (IPV). This paper evaluates the impact of offering adolescent females a goal-setting inter- vention to improve sexual and reproductive health and offering their male partners a soccer-based intervention, which educates and inspires young men to make better sexual and reproductive health choices. Both interventions significantly reduce female reports of IPV. The soccer intervention improves male attitudes around violence and risky sexual behaviors. Females in the goal setting arm take control of their sexual and reproductive health by exiting violent relationships. Both mechanisms drive reductions in IPV.

The presence of pricing power in housing markets significantly impacts our understanding of the housing supply. It biases estimates of housing production functions, supply elasticities, the effects of land-use policies, and the results of quantitative spatial models. We test for the existence of pricing power in the New York City rental market. Using tax policy changes, we conduct complementary difference-in-differences and instrumental variable analyses. An idiosyncratic increase in a single building's costs leads to a proportional rent increase, holding market-level rents constant. Our findings support the existence of pricing power and challenge the prevailing perfect competition framework.

This study analyzes how multinational enterprises (MNEs) influence corporate labor share in their home countries, using the 2011 Thailand Floods as a natural experiment. Flood-related disruptions to Thai subsidiaries of Japanese MNEs generated a negative foreign productivity shock that raised labor share in Japan. We interpret this pattern using a model with international factor substitution and estimate the elasticity of substitution between domestic labor and foreign inputs using an instrument based on flood exposure. The estimated model quantifies the long-run e!ect of Thai productivity growth on Japan's labor share, indicating that expanding global production networks can shift labor–capital balances.