We propose an approach to extend the standard framework of dynamic games to deal with multi-product firms. Our approach applies to industries with a large number of products offered by a small number of firms.

Models of consumer behavior play a key role in modern empirical Industrial Organization. In this paper, I survey some of the models used in this literature. In particular, I discuss two commonly used demand systems: multi-stage budgeting approaches and discrete choice models. I motivate their...

We estimate a bargaining model of competition between hospitals and managed care organizations (MCOs) and use the estimates to evaluate the effects of hospital mergers. We find that MCO bargaining restrains hospital prices significantly. The model demonstrates the potential impact of coinsurance...

The increasing use of the Internet creates a need to manage traffic while preserving equal treatment of content. We estimate demand for residential broadband, using high-frequency data from subscribers facing a three-part tariff, and use the estimates to study the welfare implications of...

Food purchases differ substantially across countries. We use detailed household level data from the US, France and the UK to (i) document these differences; (ii) estimate a demand system for food and nutrients, and (iii) simulate counterfactual choices if households faced prices and nutritional...

Empirically studying dynamic competition in oligopoly markets requires dealing with large states spaces and tackling difficult computational problems, while handling heterogeneity and multiple equilibria. In this paper, we discuss some of the ways recent work in Industrial Organization has dealt...

We study intertemporal price discrimination when consumers can store for future consumption needs. To make the problem tractable we offer a simple model of demand dynamics, which we estimate using market level data. Optimal pricing involves temporary price reductions that enable sellers to...

Storable products allow consumers to time their purchases to exploit price fluctuations. It has been documented that during promotions consumers buy more. The additional purchases are potentially intended not only for current use, but to be stockpiled for future consumption. This paper discusses...

One of the puzzles of store-level scanner data is the lack of a dip in quantity sold in the weeks following a promotion. Such a dip is predicted by a consumer inventory model. During a promotion consumers buy more, not only for current consumption, but stockpile for future consumption. The...