Testing and Relaxing Distributional Assumptions on Random Coefficients in Demand Models, joint with Hippolyte Boucher (TSE), and Max Lesellier (TSE)
Abstract: The differentiated products demand model initiated by Berry (1994) and Berry, Levinsohn, and Pakes (1995) is the workhorse model for demand estimation with market-level data. This model uses random coefficients to account for unobserved preference heterogeneity. The shape of the distribution of random coefficients matters greatly for many counterfactual quantities, such as the pass-through. In this paper, we develop new econometric tools to test this distribution and improve its estimation under a flexible parametrization. In particular, we construct new instruments that are designed to detect deviations from the underlying distribution of random coefficients. Then, we develop a formal moment-based specification test on the distribution of random coefficients. Next, we show that our instruments can strengthen the identifying power of the moment conditions used for estimation. Finally, we validate our approach with Monte Carlo simulations and an empirical application using data on car purchases in Germany. We show that these methods extend to the mixed logit demand model (with individual-level data).
Work in progress
Incentives vis-à-vis Prescription Externalities: The Case of Antibiotics in France
Antibiotic Demand in the Presence of Antimicrobial Resistance, joint with Pierre Dubois (TSE)