We propose an approach to modeling and estimating discrete choice demand that allows for a large number of zero sale observations, rich unobserved heterogeneity, and endogenous prices. We do so by modeling small market sizes through Poisson arrivals. Each of these arriving consumers then solves...

We study how organizational boundaries affect pricing decisions using comprehensive data from a large U.S. airline. We document that the firm's advanced pricing algorithm, utilizing inputs from different organizational teams, is subject to multiple biases. To quantify the impacts of these...

We analyze several rounds of U.S. import restrictions against washing machines. Using retail price data, we estimate the price effect of these import restrictions by comparing the price changes of washers with those of other appliances. We find that in response to the 2018 tariffs on nearly all...

Oligopoly models of price competition predict that strategic firms exercise market power and generate inefficiencies. However, heterogeneity in firms' strategic ability also generates inefficiencies. We study the Texas electricity market where firms exhibit significant heterogeneity in how...

We examine the within- and across-firm shipment decisions of tens of thousands of goods-producing and distributing establishments. This allows us to quantify the normally unobservable forces that determine firm boundaries; which transactions are mediated by ownership control, as opposed to...

In the decade following the financial crisis of 2008, investment funds in corporate bond markets became prominent market players and generated concerns of financial fragility. The COVID-19 crisis provides an opportunity to inspect their resilience in a major stress event. Using daily microdata,...

We develop an analytically tractable method to estimate the fraction of unreported infections in epidemics with a known epicenter and estimate the number of unreported COVID-19 infections in the US during the first half of March 2020. Our method utilizes the covariation in initial reported...

Field experiments conducted with the village, city, state, region, or even country as the unit of randomization are becoming commonplace in the social sciences. While convenient, subsequent data analysis may be complicated by the constraint on the number of clusters in treatment and control....

Although typically overlooked, many purchase datasets exhibit a high incidence of products with zero sales. We propose a new estimator for the Random-Coefficients Logit demand system for purchase datasets with zero-valued market shares. The identification of the demand parameters is based on a...

The empirical analysis of auction data has become a thriving field of research over the past thirty years. Relying on sophisticated models and advanced econometric methods, it addresses a wide range of policy questions for both public and private institutions. This chapter offers a guide to the...