We analyze data pricing and targeted advertising. Advertisers seek to tailor their spending to the value of each consumer. A monopolistic data provider sells cookies -- informative signals about individual consumers' preferences. We characterize the set of consumers targeted by the advertisers...

We propose a model of data provision and data pricing. A single data provider controls a large database that contains information about the match value between individual consumers and individual firms (advertisers). Advertisers seek to tailor their spending to the individual match value. The...

We develop a model of data pricing and targeted advertising. A monopolistic data provider determines the price to access "cookies," i.e., informative signals about individual consumers' preferences. The demand for information is generated by advertisers who seek to tailor their spending to the...

Models with heterogeneous interacting agents explain macro phenomena through interactions at the micro level. We propose genetic algorithms as a model for individual expectations to explain aggregate market phenomena. The model explains all stylized facts observed in aggregate price fluctuations...

There is a general agreement that (a) climate change is one of the most serious environmental problems, that (b) the analysis of climate change is confronted with a large degree of uncertainty and (c) that these uncertainties need to be taken into account to arrive at meaningful policy...

This paper explores the question whether boundedly rational agents learn to behave optimally when asked to voluntarily contribute to a public good. The decision process of individuals is described by an Evolutionary Algorithm. We analyze the learning process of purely and impurely altruistic...

Dieser Beitrag gibt einen Überblick über Ansatzpunkte und Möglichkeiten zur Integration von Lernprozessen in volkswirtschaftliche Fragestellungen. Es werden alternative Methoden vorgestellt, individuelle aber auch gesellschaftliche Lernenvorgänge in ökonomischen Modellen zu erfassen.

Das Papier untersucht, wie Erwartungsbildung mit Hilfe neuronaler Netze modelliert werden kann. Die Grundlage bildet ein Cobweb-Modell, in dem Firmen Preiserwartungen auf Basis eines Feedforward-Netzes bilden. Zunächst wird anhand von Simulationen gezeigt, daß Firmen durch neuronale...

This article tries to connect two separate strands of literature concerning genetic algorithms. On the one hand, extensive research took place in mathematics and closely related sciences in order to find out more about the properties of genetic algorithms as stochastic processes. On the other...