In markets for credence goods – such as health care or repair services – fraudulent behavior by better informed experts is a common problem. Our model studies how four common features shape experts’ provision behavior in credence goods markets: (i) diagnostic uncertainty of experts; (ii)...

Credence goods markets are prone to fraudulent behavior and market inefficiencies due to informational asymmetries between sellers and customers. We examine experimentally the effects of diagnostic uncertainty and insurance coverage on the information acquisition and provision decisions by...

In markets with asymmetric information between sellers and buyers, feedback mechanisms are important to increase market efficiency and reduce the informational disadvantage of buyers. Feedback mechanisms might work because of self-selection of more trustworthy sellers into markets with such...

Empirical literature on moral hazard focuses exclusively on the direct impact of asymmetric information on market outcomes, thus ignoring possible repercussions. We present a field experiment in which we consider a phenomenon that we call second-degree moral hazard - the tendency of the supply...

Credence goods are characterized by informational asymmetries between sellers and consumers that invite fraudulent behavior by sellers. This paper presents the results of a natural field experiment on taxi rides in Athens, Greece, set up to measure different types of fraud and to examine the...

Credence goods markets are characterized by pronounced informational asymmetries between consumers and expert sellers. As a consequence, consumers are often exploited and market efficiency is threatened. However, in the digital age, it has become easy and cheap for consumers to self-diagnose...

Credence goods markets are characterized by pronounced informational asymmetries between consumers and expert sellers. As a consequence, consumers are often exploited and market efficiency is threatened. However, in the digital age, it has become easy and cheap for consumers to self-diagnose...