This paper considers a dynamic model of the evolution of open source software projects, focusing on the evolution of quality, contributing programmers, and users who contribute customer support to other users. Programmers who have used open source software are motivated by reciprocal altruism to...

We analyze vertical product differentiation in a model where a good's quality is unobservable to buyers before purchase, a continuum of quality levels is technologically feasible, and minimum quality is supplied under competitive conditions. After purchase the true quality of the good is...

We analyse optimal environmental policies in a market that is vertically differentiated in terms of the energy efficiency of products. Considering energy taxes, subsidies to firms for investment in more eco-friendly products, and product standards, we are particularly interested in how...

In a standard adverse selection world, asymmetric information about product quality leads to quality deterioration in the market. Suppose that a higher investment level makes the realization of high quality more likely. Then, if consumers observe the investment (but not the realization of...

Who does, and who should initiate costly certification by a third party under asymmetric quality information, the buyer or the seller? Our answer - the seller - follows from a nontrivial analysis revealing a clear intuition. Buyer-induced certification acts as an inspection device,...

Asymmetric information can distort market outcomes. I study how the online disclosure of information affects consumers' behavior and firms' incentives to upgrade product quality in markets where information is traditionally limited. I first build a model of consumer search with firms' endogenous...

We present a heterogeneous-firm model in which management ability increases both pro- duction efficiency and product quality. Combining six micro-datasets on management prac- tices, production and trade in Chinese and American firms, we find broad support for the model's predictions. First,...