When the value of a product or service is uncertain, outcomes can be inefficient. A market for evaluations can theoretically increase efficiency by voluntarily eliciting an evaluation that would otherwise not be provided. This paper uses a controlled laboratory experiment to test the performance...

This paper examines the mode of entry of a multinational firm that has less information about the host market stochastic demand than the local firm. The foreign firm can enter the market either through direct investment or exports. Each entry mode entails different costs and has different...

This article develops a model, based on switching costs and technological uncertainty, which explains some aspects of the price dynamics of e-commerce. Switching costs and intertemporal cost correlation lock-in consumers. Firms initially charge low prices to build a customer base. If firms fail...

This paper examines a mechanism of liquidity-preference fluctuations caused by people's learning behavior. % about the frequency of a liquidity shock. When observing a financial shock, they rationally update their belief so that the subjective probability of encountering it again is higher,...

In this paper, we examine the incentives for central bank activism and caution in a two-country open-economy model with uncertainty and learning. We find that the presence of a strategic interaction between the home and foreign central banks creates an additional motivation for caution in...

In the paper we analyze how the possibility of revealing information to a competitor alters the entry/investment behavior of a first entrant. We show that once it has entered the market, the firm might refrain from making further profitable investments in order to hide information from the...

We model the organization of the firm as a type of artificial neural network in a duopoly framework. The firm plays a repeated Prisoner's Dilemma type game, but also must learn to map environmental signals to demand parameters. We study the prospects for cooperation given the need for the firm...

Morgan (1983) guaranteed that VSS dominated both FSS and SSR. But it is difficult to calculate the optimal sample size and the optimal reservation price both without recall and with full recall. As VSS without recall is a simplification of VSS with full recall, we will present on appendix a VB30...

This paper rectifies a design problem in the Santa Fe Artificial Stock Market Model. Due to a faulty mutation operator, the resulting bit distribution in the classifier system was systematically upwardly biased, thus suggesting increased levels of technical trading for smaller GA-invocation...