We develop a dynamic equilibrium model of asset markets with adverse selection. There exists a unique equilibrium in which better quality assets trade at higher prices but with a lower price-dividend ratio in less liquid markets. Sellers of high-quality assets signal quality by accepting a lower trading probability. We show how the distribution of sellers' private information affects an asset's price and liquidity, how a change in that distribution can cause a fire sale and a flight to quality, and how asset purchase and subsidy programs may raise prices and liquidity and reverse the flight to quality.

We propose a model of delegated portfolio management with career concerns. Investors hire fund managers to invest their capital either in risky bonds or in riskless assets. Some managers have superior information on default risk. Based on past performance, investors update beliefs on managers and make firing decisions. This leads to career concerns that affect managers' investment decisions, generating a countercyclical “reputational premium.” When default risk is high, return on bonds is high to compensate uninformed managers for the high risk of being fired. As default risk changes over time, the reputational premium amplifies price volatility.

Motivated by the effects of the COVID-19 pandemic, we present a theory of Keynesian supply shocks: shocks that reduce potential output in a sector of the economy, but that, by reducing demand in other sectors, ultimately push aggregate activity below potential. A Keynesian supply shock is more likely when the elasticity of substitution between sectors is relatively low, the intertemporal elasticity of substitution is relatively high, and markets are incomplete. Fiscal policy can display a smaller multiplier, but the insurance benefit of fiscal transfers can be enhanced. Firm exits and job destruction can amplify and propagate the shock.

When a city experiences a decline in income or population, do all neighborhoods within the city decline equally? Or, do some neighborhoods decline more than others? What are the characteristics of the neighborhoods that decline the most? We answer these questions by looking at what happened to neighborhoods within Detroit as Detroit experienced a sharp decline in income and population from the 1980s to the late 2000s. We find patterns of changes in income and population that are consistent with the model and empirical patterns of gentrification presented in Guerrieri, Hartley, and Hurst (2011), only playing out in reverse.