This paper develops techniques to analyze the adoption decisions of bothconsumers and firms for competing platform intermediaries in two-sidedmarkets, and applies the methodology to empirically measure the impactof vertical integration and exclusive contracting in thesixth-generation of the U.S....

Health-maximizing and welfare-maximizing behaviors can be at odds, especially among disadvantaged groups, generating health disparities. We estimate a lifecycle model of medication and labor supply decisions using data on HIV-positive men. We evaluate an effective HIV treatment innovation that...

This dissertation consists of three chapters relating to dynamic demand models of storable goods and their application to taxes that are imposed on soft drinks. Broadly speaking, the first chapter builds the estimation strategy for dynamic demand models of storable goods that allows for...

Empirically studying dynamic competition in oligopoly markets requires dealing with large states spaces and tackling difficult computational problems, while handling heterogeneity and multiple equilibria. In this paper, we discuss some of the ways recent work in Industrial Organization has dealt...

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 develops a new approach that combines firm margins, market-level industry data and a static demand model to construct sets containing unbiased estimates of long-run price elasticities for storable good industries. It obviates the need to solve the consumer's value function and can be...

This contribution presents an efficient solution method for solving the major short-term planning problems which occur, if lot production has to be managed. In our focus are the two most important aspects, i.e. lot sizing and scheduling. Since both problems heavily interact, we propose an...

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 empirically studies howconsumers respond to retail gasoline price cycles. Our analys is uses new station-level price data from local markets in Ontario, Canada, and a unique market-level measure of consumer responsiveness based onweb traffic fromgasoline price reportingwebsites. We...

This note presents some simple, direct tests for search and dynamic demand behavior in retail gasoline markets. We exploit a unique market-level dataset that allows us to directly measure search intensity with daily web traffic data from a gasoline price reporting website, and perfectly measure...