We compare the performance of maximum likelihood (ML) and simulated method of moments (SMM) estimation for dynamic discrete choice models. We construct and estimate a simplified dynamic structural model of education that captures some basic features of educational choices in the United States in...

This paper develops a dynamic model of retail competition and uses it to study the impact of the expansion of a new national competitor on the structure of urban markets. In order to accommodate substantial heterogeneity (both observed and unobserved) across agents and markets, the paper first...

This paper develops two methods for estimating the effect of schooling on achievement test scores that control for the endogeneity of schooling by postulating that both schooling and test scores are generated by a common unobserved latent ability. These methods are applied to data on schooling...

This paper studies nonparametric identification in binary choice games of complete information. We allow for correlated unobservables across players. We propose conditions under which the binary choice game is a so-called potential game and impose that the selected equilibrium maximizes its...

Commercial radio stations and advertisers have potentially conflicting interests about when commercial breaks should be played. This paper estimates an incomplete information timing game to examine stations' equilibrium timing incentives. It shows how identification can be aided by the existence...

Using a dynamic linear equation that has a conditionally homoskedastic moving average disturbance, we compare two parameterizations of a commonly used instrumental variables estimator (Hansen (1982)) to one that is asymptotically optimal in a class of estimators that includes the conventional...

This paper shows that the asymptotic normal approximation is often insufficiently accurate for volatility estimators based on high frequency data. To remedy this, we compute Edgeworth expansions for such estimators. Unlike the usual expansions, we have found that in order to obtain meaningful...

We develop a theoretical framework to characterize strategic behavior in sequential markets under imperfect competition and limited arbitrage. Our theory predicts that these two elements can generate a systematic price premium. We test the model predictions using micro-data from the Iberian...

We estimate the economic surplus created by Medicare Advantage under its reformed competitive bidding rules. We use data on the universe of Medicare beneficiaries, and develop a model of plan bidding that accounts for both market power and risk selection. We find that private plans have costs...

This paper provides a framework to classify and evaluate the impact of net neutrality regulations on the allocation of consumer attention and the distribution of surplus between consumers, ISPs and content providers. While the model provided largely nests other contributions in the literature,...