Applied research often tolerates misspecification in order to reach informative conclusions. We focus on how the degree of misspecification varies with the level of aggregation of data for quasilinear utility models. We present aggregation results formalizing that the model cannot get worse when...

Dworczak, Kominers, and Akbarpour (2021) study when certain market structures are optimal in the presence of heterogeneous preferences. A key assumption to apply the results is that the social planner knows the joint distribution of the value of the good and marginal value of money. We show that...

This note studies necessary and sufficient conditions for consumer demand data to be generated by a symmetric utility function. We find that a dataset of prices and consumption decisions can be rationalized by a symmetric utility function if and only if the symmetrized dataset satisfies the...

Many theoretical models of stochastic choice are characterized by availability variation. Instead, most stochastic choice datasets have information on attribute values that vary across decision problems. This paper uses attribute variation to characterize a framework that encompasses existing...

This paper studies aggregate complementarity without price or income variation. We show that for a class of utility functions, variation in non-price observables allows one to recover a measure of complementarity similar to Hicksian complementarity. In addition, the entire Slutsky matrix can be...

Research estimating market supply often focuses on parametric models. In this paper, we study a non-parametric approach to market supply. We characterize the necessary and sufficient conditions of profit maximization for aggregate market behavior when participants on the supply side vary and...

Experimental work regularly finds that individual choices are not rationalized. Nonetheless, recent work shows that data collected from many individuals can be stochastically rationalized by a distribution of well-defined preferences. We study the relationship between deterministic and...

This paper characterizes the logit model with menu dependent variance. The characterization follows from two conditions: independent log-odds and log-odds monotonicity. Independent log-odds says the change to log-odds across different menus is independent of the alternatives used to compare...