We study identification and estimation in a binary response model with random coefficients B allowed to be correlated with regressors X. Our objective is to identify the mean of the distribution of B and estimate a trimmed mean of this distribution. Like Imbens and Newey (2009), we use...

Using results from Convex Analysis, we investigate a novel approach to identification and estimation of discrete-choice models that we call the mass transport approach. We show that the conditional choice probabilities and the choice-specific payoffs in these models are related in the sense of...

How do people learn? We assess, in a distribution-free manner, subjects' learning and choice rules in dynamic two-armed bandit (probabilistic reversal learning) experiments. To aid in identification and estimation, we use auxiliary measures of subjects' beliefs, in the form of their...

This paper (1) presents a general model of online price competition, (2) shows how to structurally estimate the underlying parameters of the model when the number of competing firms is unknown or in dispute, (3) estimates these parameters based on UK data for personal digital assistants, and (4)...

We estimate nonparametric learning rules using data from dynamic two-armed bandit (probabilistic reversal learning) experiments, supplemented with auxiliary eye-movement measures of subjects' beliefs. We apply recent econometric developments in the estimation of dynamic models. The direct...

Using detailed loan transactions-level data we examine the efficiency of an overnight interbank lending market, and the bargaining power of its participants. Our analysis relies on the equilibrium concept of the core, which imposes a set of no-arbitrage conditions on trades in the market. For...

Micro, small, and medium-sized enterprises (MSMEs) are recognized as crucial drivers of economic development, particularly in low- and middle-income countries. The advent of digital platforms, characterized by economies of scale and significant cross-network externalities in two-sided markets,...

Using an empirical framework derived from models of nonlinear pricing, we estimate the degree of quality degradation in cable television markets. We find lower bounds on quality degradation ranging from 11% to 45% of observed service qualities. Furthermore, cable operators in markets with local...

This paper studies optimal nonlinear pricing for a monopolist when consumers' preferences exhibit temptation and self-control as in Gul and Pesendorfer (2001a). Consumers are subject to temptation inside the store but exercise self-control, and those foreseeing large self-control costs do not...

We develop econometric models of ascending (English) auctions which allow for both bidder asymmetries as well as common and/or private value components in bidders' underlying valuations We show that the equilibrium inverse bid functions in each round of the auction are implicitly defined...