Knowledge that Transforms

High commissions in the U.S. residential real estate agency market pose a puzzle for economic theory because brokerage is not a concentrated industry. We model brokered markets as a game in which agents post prices for customers and then choose which other agents to work with. We show that there exists an equilibrium in which each agent conditions working with other agents on those agents' posted prices. Prices can therefore be meaningfully higher than the competitive level (for a fixed discount factor), regardless of the number of agents. Thus, brokered markets can remain uncompetitive even with low concentration and easy entry.

This paper highlights the simple fact that households typically consist of multiple members who may hold divergent views, a fact that existing approaches to measuring and modeling household macroeconomic expectations largely abstract from. Using unique data on the macroeconomic expectations of both spouses, I document substantial intrahousehold disagreement about inflation, economic recessions, and stock market returns. I further show that household asset allocation decisions are shaped by disagreement between spouses about future stock returns, and a preregistered randomized survey experiment confirms the causal impact of such disagreement on portfolio choice.

Regulatory fragmentation occurs when multiple federal agencies oversee a single issue. Using the full text of the Federal Register, the government's official daily publication, we provide the first systematic evidence on the extent and costs of regulatory fragmentation. Fragmentation increases the firm's costs while lowering its productivity, profitability, and growth. Moreover, it deters entry into an industry and increases the propensity of small firms to exit. These effects arise from redundancy and, more prominently, from inconsistencies between government agencies. Our results uncover a new source of regulatory burden, and we show that agency costs among regulators contribute to this burden.

We analyze the behavior of credit and output in financial crises using data on credit spreads and credit growth. Crises are marked by a sharp rise in credit spreads, signaling sudden shifts in expectations. The severity of a crisis can be predicted by the extent of credit losses (spread increases) and financial sector fragility (precrisis credit growth). This interaction is a key feature of crises. Postcrisis recessions are typically severe and prolonged. Notably, precrisis spreads tend to drop to low levels while credit growth accelerates, indicating that credit supply expansions often precede crises. The 2008 crisis aligns with these patterns.

Privatization of state‐owned enterprises is on the agenda across the globe. Using Swedish data covering two decades, we show that productivity gains and headcount reductions are associated with economic costs for incumbent workers. Workers experience income losses and higher unemployment, but half of the losses are covered by the social safety net. We also find small positive effects on entrepreneurship and cash holdings but no meaningful effects on other labor market, family, health, or household finance outcomes. Productivity improves when the CEO is replaced, and the gains outweigh workers' income declines by a factor of between two and six.

Although algorithmic trading now dominates financial markets, some exchanges continue to use human floor traders. On March 23, 2020 the NYSE suspended floor trading because of COVID‐19. Using a difference‐in‐differences analysis around the closure of the floor, we find that floor traders are important contributors to market quality. The suspension of floor trading leads to higher spreads and larger pricing errors for treated stocks relative to control stocks. To explore the mechanism, we exploit two partial floor reopenings that have different characteristics. Our finding suggests that in‐person human interaction facilitates the transfer of valuable information that algorithms lack.

We model the “feedback effect” of a firm's stock price on investment in projects exposed to a systematic risk factor, like climate risk. The stock price reflects information about both the project's cash flows and its discount rate. A cash‐flow‐maximizing manager treats discount rate fluctuations as “noise,” but a price‐maximizing manager interprets such variation as information about the project's net present value. This difference qualitatively changes how investment behavior varies with the project's risk exposure. Moreover, traditional objectives (e.g., cash flow or price maximization) need not maximize welfare because they do not correctly account for hedging and risk‐sharing benefits of investment.

At‐scale field experiments at major U.K. banks show that automatic enrollment into “just‐in‐time” text alerts reduces unarranged overdraft and unpaid item charges 17% to 19% and arranged overdraft charges 4% to 8%, implying annual market‐wide savings of £170 million to £240 million. Incremental benefits from “early‐warning” alerts are statistically insignificant, although economically significant effects are not ruled out. Prior to the experiments, over half of overdrafts could have been avoided by using lower‐cost liquidity available in savings and credit card accounts. Alerts help consumers achieve less than half of these potential savings.

Uniswap is a system of smart contracts on the Ethereum blockchain and is the largest decentralized exchange with a liquidity balance worth up to 4 billion USD and daily trading volume of up to 7 billion USD. It is a new model of liquidity provision, so‐called automated market making. For this new market form, we characterize equilibrium in the liquidity pools. We collect all 95.8 million Uniswap interactions and compare this automated market maker (AMM) to a centralized limit order book. We document absence of long‐lived arbitrage opportunities, and show conditions under which the AMM dominates a limit order market.

We study the asset market for pollutive plants. Firms divest pollutive plants in response to environmental pressures. Buyers are firms facing weaker environmental pressures that have supply chain relationships or joint ventures with the sellers. While pollution levels do not decline following divestitures, sellers highlight their sustainable policies in subsequent conference calls, earn higher returns as they sell more pollutive plants, and benefit from higher Environmental, Social, and Governance (ESG) ratings and lower compliance costs. Overall, the asset market allows firms to redraw their boundaries in a manner perceived as environmentally friendly without real consequences for pollution but with substantial gains from trade.