This paper presents a game theoretic analysis of the generalized second-price auction that the company Overture operated in 2004 to sell sponsored search listings on search engines. We construct a model that embodies few prior assumptions about parameters, and we present results that indicate...

This article introduces the Emergency Purchasing Situation (EPS) as a distinct buying context. EPSs stem from an unexpected event (unanticipated need or timing of a need), as well as high product importance, which are associated with a short time frame for consumer decision-making. Our...

Sampling poses an interesting problem in markets with experience goods. Free samples reveal product quality and help consumers to make informed purchase decisions (promotional effect). However, sampling may also induce consumers to substitute purchases with free consumption (displacement...

In this paper we consider a two-stage duopoly game where firms first decide whether to invest in advertising and then compete in prices. Advertising has two effects: a market enlargement for both firms and a predatory gain for the investing firm only. Both symmetric and asymmetric equilibria may...

In a world where rational individuals may hold different prior beliefs, a sender can influence the behavior of a receiver by controlling the informativeness of a signal. We characterize the set of distributions of posterior beliefs that can be induced by a signal, and provide necessary and...

Dual system and dual process views of the human mind have contrasted automatic, fast, and non-conscious with controlled, slow, and conscious thinking. This paper integrates duality models from the perspective of consumer psychology by identifying three relevant theoretical strands: Persuasion...

We introduce an alternative version of the Fama-French three-factor model of stock returns together with a new estimation methodology. We assume that the factor betas in the model are smooth nonlinear functions of observed security characteristics. We develop an estimation procedure that...

We propose an easy to use derivative based two-step estimation procedure for semi-parametric index models. In the first step various functionals involving the derivatives of the unknown function are estimated using nonparametric kernel estimators. The functionals used provide moment conditions...

Efficient semiparametric and parametric estimates are developed for a spatial autoregressive model, containing nonstochastic explanatory variables and innovations suspected to be non-normal. The main stress is on the case of distribution of unknown, nonparametric, form, where series...

We describe and examine a consistent test for the correct specification of a regression function with dependent data. The test is based on the supremum of the difference between the parametric and nonparametric estimates of the regression model. Rather surprisingly, the behaviour of the test...