This paper develops a strategy for identification and estimation of complete information games that does not require a regressor that has large support or a parametric specification for the distribution of the unobservables. The identification result uses a nonstandard but plausible condition on...

This paper applies the framework of endogenous timing in games to mixed quantity duopoly, wherein a private domestic or foreign firm competes with a public, welfare maximizing firm. We show that simultaneous play never emerges as a subgame-perfect equilibrium of the extended game, in sharp...

With this research we examine whether observing firm-specific production levels leads to a less competitive market outcome. We consider an endogenous information setting where firms can freely decide whether they want to share information about their past production levels. By voluntarily...

We present a two-firm model of predation under complete information, based on different discount factors, and integrate it with a model of collusion. Competition, collusion and predation are seen as alternative strategies. The basic conclusions are that there is predation when one firm has a...

We present two models of the greenfield-FDI, R&D and entry decisions of rival firms in an international oligopoly. Specifically, we develop a blockaded-entry (BE) two-stage game as a benchmark: in the first stage, the two incumbents choose whether to undertake greenfield-FDI or R&D (or both); in...

In this paper we investigate a two-period Bertrand-Edgeworth oligopoly model in which two capacity-constrained firms (incumbents) compete facing future demand uncertainty as well as uncertainty about entry. These firms must choose between pricing low and secure sales in the first period or,...

This paper develops a tractable model for the computational and empirical analysis of infinite-horizon oligopoly dynamics. It features aggregate demand uncertainty, sunk entry costs, stochastic idiosyncratic technological progress, and irreversible exit. We develop an algorithm for computing a...

This paper develops an econometric model of industry dynamics for concentrated markets that can be estimated very quickly from market-level panel data on the number of producers and consumers using a nested fixed-point algorithm. We show that the model has an essentially unique symmetric...