This paper investigates how increases in concentration can be interrupted or reversed by changes in how firms compete on quality. We examine the U.S. hotel industry during the past half century. We document that starting in the early 1980s, quality competition came more in the form of costs that...

I provide three comparative statics involving the level of demand uncertainty for the newsvendor model, two of which lead to robust predictions. I show that for distributions of demand that are greater in the dispersive order, both the expected (censored) sales and share of inventory sold fall....

Examining all widely-sold products in a large, national scanner database, we find that seasonality in demand is large, pervasive across product categories, and heterogeneous in its timing. Yet at seasonal frequencies prices fluctuate little, and typically, countercyclically, falling as demand...

Mixed frequency Bayesian vector autoregressions (MF-BVARs) allow forecasters to incorporate a large number of mixed frequency indicators into forecasts of economic activity. This paper evaluates the forecast performance of MF-BVARs relative to surveys of professional forecasters and investigates...

We document the influence of factor markets in determining the extent of the market, by appealing to the Mundell Hypothesis that trade in goods markets and factor markets are substitutes. We confirm this influence using the U.S. wholesale market for electric power. Although the Eastern, Western,...

We develop a dynamic competitive equilibrium model of battery adoption and operations to evaluate the social value and adoption trajectory of utility-scale batteries and examine policy counterfactuals. The first battery unit breaks even in 2027 when renewable energy share reaches 52% and...

We leverage an event-study research design focused on the seven costliest hurricanes to hit the US mainland since 2004 to identify the elasticity of unemployment insurance filings with respect to search intensity. Applying our elasticity estimate to the state-level Google Trends indexes for the...

[enter Abstract Body]The pass-through of local shocks to prices is important for trade adjustment, inequality, and tax policy. Standard pricing models assume that firms fully respond to local shocks, but recent research suggests that local prices may be insensitive to them, because national...

The use of mixed frequency data is now common in many applications, ranging from the analysis of high frequency financial time series to large cross-sections of macroeconomic time series. In this article, we show how state space methods can easily facilitate both estimation and inference in...