Many practitioners point out that the speculative profits of institutional traders arc eroded by the difficulty in gauging the price impact of their trades. In this paper. we develop a model of strategic trading where speculators face such a dilemma because of incomplete information about...

In this paper we estimate a structural model of search for differentiated products, using a unique dataset of consumer online search for hotels. We propose and implement an identification strategy that allows us to separately estimate consumer's beliefs, search costs and preferences. Learning...

Two firms produce substitute goods with unknown quality. At each stage the firms set prices and a consumer with private information and unit demand buys from one of the firms. Both firms and consumers see the entire history of prices and purchases. Will such markets aggregate information? Will...

Retailers may face uncertainty about the profitability of local markets, which provide opportunities for learning when making entry decisions. To quantify these informational benefits, I develop an empirical framework for studying dynamic retail entry with uncertainty and learning (from others)....

This paper provides a dynamic game of market entry to illustrate entry dynamics in an uncertain market environment. Our model features both private learning about the market condition and market competition, which give rise to the first-mover and second-mover advantages in a unified framework....

I study the implications of preference uncertainty in a consumer search environment with and without tracking. Consumers encounter information that is predictive about their type while searching. Depending on what con- sumers learn, they stop searching without a purchase and before sampling all...

Increasingly, firms use algorithms powered by artificial intelligence to set prices. Previous research studies interactions among Q-learning algorithms in a simulated oligopoly model of price competition. The algorithms learn collusive strategies but require a long time that corresponds to...

Recent experimental simulations have shown that autonomous pricing algorithms are able to learn collusive behavior and thus charge supra-competitive prices without being explicitly programmed to do so. These simulations assume, however, that both firms employ the identical price-setting...

In this paper, we study an imperfect monitoring model of duopoly under similar settings as in Green and Porter (1984), but here firms do not know the demand parameters and learn about them over time through the price signals. We investigate how a deviation from rational expectations affects the...