We state a sufficient condition under which choice data alone suffices to identify consumer preferences when choices are not fully informed. Suppose that: (i) the data generating process is a search model in which the attribute hidden to consumers is observed by the econometrician; (ii) if a...

We state a sufficient condition under which choice data alone suffices to identify consumer preferences when choices are not fully informed. Suppose that: (i) the data generating process is a search model in which the attribute hidden to consumers is observed by the econometrician; (ii) if a...

Demand estimates are essential for addressing a wide range of positive and normative questions in economics that are known to depend on the shape-and notably the curvature-of the true demand functions. The existing frontier approaches, while allowing flexible substitution patterns, typically...

An oil lease auction is the classic example motivating a common values model. However, formal testing for common values has been hindered by unobserved auction-level heterogeneity, which is likely to affect both participation in an auction and bidders' willingness to pay. We develop and apply an...

Demand estimates are essential for addressing a wide range of positive and normative questions in economics that are known to depend on the shape-and notably the curvature-of the true demand functions. The existing frontier approaches, while allowing flexible substitution patterns, typically...

We present a new class of methods for identification and inference in dynamic models with serially correlated unobservables, which typically imply that state variables are econometrically endogenous. In the context of Industrial Organization, these state variables often reflect econometrically...

We propose a demand estimation method that allows researchers to estimate substitution patterns from unstructured image and text data. We first employ a series of machine learning models to measure product similarity from products' images and textual descriptions. We then estimate a nested logit...

I develop and apply a nonparametric approach to estimate demand in differentiated products markets. Estimating demand flexibly is key to addressing many questions in economics that hinge on the shape - and notably the curvature - of market demand functions. My approach applies to standard...

This article reviews recent developments in the study of industry dynamics, with a special emphasis on the econometric endogeneity of market structure. Endogeneity of market structure follows from the presence of serially correlated unobservable shocks to the profitability of firms' dynamic...

We explore the impact of investors' beliefs on cryptocurrency demand and prices using three new individual-level surveys. We find that younger individuals with lower income and education are more optimistic about the future value of cryptocurrencies, as are late investors. We then estimate the...