This paper (1) presents a general model of online price competition, (2) shows how to structurally estimate the underlying parameters of the model when the number of competing firms is unknown or in dispute, (3) estimates these parameters based on UK data for personal digital assistants, and (4)...

This paper considers identification and estimation of a general model for online price competition. We show that when the number of competing firms is unknown, the underlying parameters of the model can still be identified and estimated employing recently developed results on measurement errors....

We experimentally examine the impact of a cycle path on the trading of a copyable information good in networks. A cycle path in a network permits a buyer to become a reseller that can compete against existing sellers by replicating the good. Theory predicts that the price of the information...

We experimentally examine the impact of a cycle path on the trading of a copyable information good in networks. A cycle path in a network permits a buyer to become a reseller that can compete against existing sellers by replicating the good. Theory predicts that the price of the information...

It is widely admitted that the inverse problem of estimating the distribution of a latent variable X* from an observed sample of X, a contaminated measurement of X*, is ill-posed. This paper shows that measurement error models for self-reporting data are well-posed, assuming the probability of...

This paper provides sufficient conditions for the nonparametric identification of the regression function m(.) in a regression model with an endogenous regressor x and an instrumental variable z. It has been shown that the identification of the regression function from the conditional...