Edward L Glaeser of Harvard University reviews “Chicago before the Fire: An Economic History” by Louis P. Cain The Econlit abstract of this book begins: “Examines the economic and business history of Chicago before the Great Fire of 1870, focusing on how the city's early growth and development determined its rise as the Midwest's dominant city.”

The empirical economics literature on taxation in developing countries has centered on the importance of third-party information for enforcement. Yet, while surely a long-run objective, leveraging such information remains out of reach in many developing countries due to largely informal economies and low state capacity. This article examines an emerging complementary literature focused on strengthening the “sinews” of state capacity: tax administration. We argue that reforms to the organizational structure, personnel management, and task management of tax authorities have potential to raise tax capacity in developing countries. We also argue that efforts to improve the state’s legitimacy—popular acceptance of its right to tax—can increase capacity and may complement investments in tax administration. Our approach bridges a long-standing divide between how scholars in public finance and political economy approach tax capacity building in developing countries. (JEL D63, D73, H20, H50, K34, M50, O17)

Abstract Unemployment differentials are greater between countries in the euro area than between U.S. states. In both regions, net migration responds to unemployment differentials, though the response is smaller in the euro area compared to the U.S. We use a multi-country DSGE model with cross-border migration to quantify Mundell’s hypothesis that labour mobility could substitute for independent monetary policy in a currency union. While not as effective as independent monetary policy, increased labour mobility reduces business cycle fluctuations for most countries in the euro area. However, Mundell’s conjecture does not hold uniformly. For countries that primarily face demand shocks, labour mobility stabilizes inflation and unemployment and improves welfare. If supply shocks are dominant however, labour mobility increases the cost of being in a currency union by magnifying inflation volatility.

Abstract Allocative wages—the labor costs considered when deciding to form or dissolve a long-term employment relationship—are more sensitive to cyclical conditions for more educated workers. Specifically, college-educated workers’ allocative wages are highly pro-cyclical, while high school dropouts’ wages exhibit only moderate cyclicality. Further, as education increases, an increasing share of the sensitivity of allocative wages is driven by the persistent scarring effects of the cyclical position at the time of hiring on the wages associated with higher levels of tenure, amounting to more than a third of the overall sensitivity for the college educated. The greater job stability of the more educated—and therefore the exposure to scarring—contributes to these differences. In addition, more significant scarring at each horizon of tenure amplifies the effect. In service of documenting these facts, I develop new methods for inferring the sensitivity of labor costs to shocks when agents are forward-looking and wages may be intertemporally smoothed.

ABSTRACT This study examines whether competition in the form of emerging threats from rivals' overlapping product strategies has explanatory power for future performance and volatility, beyond existing competition measures and firm life cycle proxies. We proxy for emerging threats using product market fluidity, which captures competitive pressures and instability arising from rivals' evolving product overlap. Specifically, higher fluidity (i.e., higher product market threats) is negatively associated with future profitability and operating cash flows and positively associated with the variability of future profitability and operating cash flows. We also find fluidity is negatively associated with future asset turnover, margins, and expenses, and only moderately positively associated with future sales, shedding light on the mechanisms through which product market threats manifest in future performance. However, capital market participants do not fully incorporate this information, leading to predictable future stock returns and analyst forecast errors. Overall, our findings suggest that the dynamism and fluidity in a firm's product market space convey valuable and distinct information to capital market participants.

Abstract We develop a satisficing model of choice in which the available alternatives differ in their inherent complexity. We assume—and experimentally validate—that complexity leads to errors in the perception of alternatives’ values. The model yields sharp predictions about the effect of complexity on choice probabilities, some of which qualitatively contrast with those of maximization-based choice models. We confirm the predictions of the satisficing model—and thus reject maximization—in a novel data set with information on hundreds of millions of real-world chess moves by highly experienced players. Looking beyond chess, our work offers a blueprint for incorporating complexity at the level of individual objects into models of choice and for detecting satisficing outside of the laboratory.

Abstract We develop a model-free measure of the variance premium by constructing option portfolios whose returns are highly correlated with realized stock variance. This effectively decomposes returns into realized variance minus implied variance. We apply this decomposition to document a novel quarterly cross-sectional continuation pattern in both realized variance and implied variance of individual stocks. Implied variance underanticipates the seasonality of realized variance, so options that performed well at quarterly lags continue to earn high returns in the future. Quarterly periodicity in realized stock variance only occurs on days with analyst earning revisions, suggesting an informational channel for this pattern. (JEL G12, G13, G40)

Abstract Using a novel measure of investment companies’ reliance on generative artificial intelligence (GenAI), we document a sharp increase in GenAI usage by hedge funds after ChatGPT’s 2022 launch. A difference-in-differences test shows that hedge funds adopting GenAI earn 2-4% higher annualized abnormal returns than nonadopters, while non-hedge funds do not benefit. The outperformance originates from funds’ AI talent and ChatGPT’s strength in analyzing firm-specific information. We conduct a new survey of fund managers’ GenAI usage to provide direct validation of our measure and offer additional new insights on how managers adopt GenAI tools in their practice.