Many discrete decisions are made with an eye toward how they will affect future outcomes. Formulating and estimating the underlying models that generate these decisions is difficult. Conditional choice probability (CCP) estimators often provide simpler ways to estimate dynamic discrete choice...

Empirical models of strategic games are central to much analysis in marketing and economics. However, two challenges in applying these models to real world data are that such models often admit multiple equilibria and that they require strong informational assumptions. The first implies that the...

This paper provides a critical review of the methods for estimating static discrete games and their relevance for quantitative marketing. We discuss the various modeling approaches, alternative assumptions, and relevant trade-offs involved in taking these empirical methods to data. We consider...

We estimate a model of drug demand and supply that incorporates insurance, advertising, and competition between branded and generic drugs within and across therapeutic classes. We use data on antiulcer drugs from 1991 to 2010. Our simulations show that generics and “me-too” drugs each...

We measure the revenue and cost implications to supermarkets of changing their price positioning strategy in oligopolistic downstream retail markets. Our estimates have implications for long-run market structure in the supermarket industry, and for measuring the sources of price rigidity in the...

This paper empirically examines the impact of entry by Wal-Mart on competition in the supermarket industry. Using a detailed panel dataset spanning 1994–2006, we estimate the impact of Wal-Mart on firm outcomes and market structure, controlling for persistent local trends and systematic...