This paper uses an original panel dataset with posted prices and sales to estimate a dynamic demand. We find that consumers become more price sensitive as time to departure nears which is consistent with having lower valuations. This result provides empirical support to a key theoretical...

This paper uses an original panel dataset with posted prices and sales to estimate a dynamic demand. We find that consumers become more price sensitive as time to departure nears which is consistent with having lower valuations. This result provides empirical support to a key theoretical...

I develop a semi-structural approach to identify network effects on two-sided monopoly platforms without data on prices and quantities. When total revenue data is available, the test is sufficient. When separate revenue data is available on the two sides, the test is both necessary and sufficient.

Fershtman and Judd (1987) and Sklivas (1987) have shown that strategic delegation under price competition makes firm owners choose incentive contracts that induce managers to be soft in order to reduce competitive intensity. We show in a worked-out example that under sufficiently strong network...

This note presents a new solution to the classic problem with using hedonic price functions to recover demand curves. Unexpected changes in the composition of a differentiated product can generate instruments that support a simple reduced-form approach to demand estimation.

This paper shows that instrumental variables estimators currently in use, require strong but neglected auxiliary assumptions to be consistent in situations with partially missing instruments. We introduce an alternative instrumental variables estimator that does not require auxiliary assumptions.

We propose an alternative bivariate zero-inflated negative binomial (BZINB) regression model based on a copula. The empirical result shows that the proposed model performs better than the existing BZINB models in terms of the maximum log-likelihood and the AIC.