Browsing by Subject "Fairness"

Now showing 1 - 3 of 3

Contract design and insurance fraud : an experimental investigation
(2010) Schiller, Jörg; Lammers, Frauke
This paper investigates the impact of insurance contract design on the behavior of filing fraudulent claims in an experimental setup. We test how fraud behavior varies for insurance contracts with full coverage, a straight deductible or variable premiums (bonus-malus contract). In our experiment, filing fraudulent claims is a dominant strategy for selfish participants, with no psychological costs of committing fraud. While some people always commit fraud, a substantial share of people only occasionally or never defraud. In addition, we find that deductible contracts may be perceived as unfair and thus increase the extent of claim build-up compared to full coverage contracts. In contrast, bonus-malus contracts with variable insurance premiums significantly reduce the filing of fictitious claims compared to both full coverage and deductible contracts. This reduction cannot be explained by monetary incentives. Our results indicate that contract design significantly affects psychological costs and, consequently, the extent of fraudulent behavior of policyholders.
Fairness considerations in labor union wage setting : a theoretical analysis
(2012) Strifler, Matthias; Beißinger, Thomas
We consider a theoretical model in which unions not only take the outside option into account, but also base their wage-setting decisions on an internal reference, called the fairness reference. Wage and employment outcomes and the shape of the aggregate wagesetting curve depend on the weight and the size of the fairness reference relative to the outside option. If the fairness reference is relatively high compared to the outside option, higher wages and lower employment than in the standard model will prevail. If hit by an adverse technology shock, the economy will then react with a stronger downward adjustment in employment, whereas real wages are more rigid than in the standard model. With a low fairness reference the opposite results are obtained. An increase in the fairness weight amplifies the deviations of wages and employment from those of the standard model. It also leads to an increase in the degree of real wage rigidity if the fairness reference is high and an increase in the degree of real wage flexibility if the fairness reference is low. Thus, higher wages go hand in hand with more pronounced wage stickiness.
Price discrimination with inequity-averse consumers : a reinforcement learning approach
(2021) Buchali, Katrin
With the advent of big data, unique opportunities arise for data collection and analysis and thus for personalized pricing. We simulate a self-learning algorithm setting personalized prices based on additional information about consumer sensi- tivities in order to analyze market outcomes for consumers who have a preference for fair, equitable outcomes. For this purpose, we compare a situation that does not consider fairness to a situation in which we allow for inequity-averse consumers. We show that the algorithm learns to charge different, revenue-maximizing prices and simultaneously increase fairness in terms of a more homogeneous distribution of prices.