Consumer Choice Under Limited Attention When Options Have Different Information Costs

Consumers often do not have complete information about the choices they face and therefore have to spend time and effort in acquiring information. Since information acquisition is costly, consumers have to trade-off the value of better information against its cost, and make their final choices based on imperfect information. We model this decision using the rational inattention approach and describe the rationally inattentive consumer's choice behavior when she faces options with different information costs. To this end, we introduce an information cost function that distinguishes between direct and inferential information. We then analytically characterize the optimal behavior and derive the choice probabilities in closed-form. We find that non-uniform information costs can have a strong impact on product choice, which gets particularly conspicuous when the product alternatives are otherwise very similar. It can also lead to situations where it is disadvantageous for the seller to provide easier access to information for a particular product. Furthermore, it provides a new explanation for strong failure of regularity of consumer behaviour, which occurs if the addition of an inferior - never chosen - product to the choice set increases the market share of another existing product

Behavioral Economics and the Public Sector

This thesis consists of four essays dealing with topics that are relevant for the public sector. The essays cover diverse issues of economics partly overlapping with political science. The topics reach from the taxation of labor over monetary policy to preferences over voting institutions. Throughout this thesis it is, in contrast to classical economics, not assumed that humans are necessarily fully rational. Once full rationality is no longer assumed, experiments become an important tool to learn about human behavior. Consequently, most of the work in this thesis makes use of economic experiments

Imperfect Information and Inflation Expectations: Evidence from Microdata

We investigate the updating behavior of individual consumers regarding their short and long-run inflation expectations. Utilizing the University of Michigan Survey of Consumer's rotating panel microstructure, we can identify whether individuals adjust their inflation expectations over a period of six months. We find evidence that the updating frequency has been underestimated. Furthermore, looking at the possible determinants of an update we find support for imperfect information models. Moreover, individual expectations are found to be more accurate after an update and forecast accuracy is affected by inflation volatility measures and news regarding inflation. Finally, the updating frequency is found to significantly move spreads in bond markets