Thomas Dohmen, Armin Falk, David Huffman, Jurgen Schupp, Uwe Sunde, Gert G Wagner
Cited by*: 93 Downloads*: 28

This paper presents new evidence on the distribution of risk attitudes in the population, using a novel set of survey questions and a representative sample of roughly 22,000 individuals living in Germany. Using a question that asks about willingness to take risks on an 11-point scale, we find evidence of heterogeneity across individuals, and show that willingness to take risks is negatively related to age and being female, and positively related to height and parental education. We test the behavioral relevance of this survey measure by conducting a complementary field experiment, based on a representative sample of 450 subjects, and find that the measure is a good predictor of actual risk-taking behavior. We then use a more standard lottery question to measure risk preference, and find similar results regarding heterogeneity and determinants of risk preferences. The lottery question makes it possible to estimate the coefficient of relative risk aversion for each individual in the sample. Using five questions about willingness to take risks in specific domains - car driving, financial matters, sports and leisure, career, and health - the paper also studies the impact of context on risk attitudes, finding a strong but imperfect correlation across contexts. Using data on a collection of risky behaviors from different contexts, including traffic offenses, portfolio choice, smoking, occupational choice, participation in sports, and migration, the paper compares the predictive power of all of the risk measures. Strikingly, the general risk question predicts all behaviors whereas the standard lottery measure does not. The best overall predictor for any specific behavior is typically the corresponding context-specific measure. These findings call into the question the current preoccupation with lottery measures of risk preference, and point to variation in risk perceptions as an understudied determinant of risky behavior.
Armin Falk
Cited by*: 8 Downloads*: 17

This study reports data from a field experiment that was conducted to investigate the relevance of gift-exchange for charitable giving. Roughly 10,000 solicitation letters were sent to potential donors in the experiment. One third of the letters contained no gift, one third contained a small gift and one third contained a large gift. Whether a potential donor received a letter with or without a gift was randomly determined. We observe strong and systematic effects from including gifts. Compared to the no gift condition, the relative frequency of donations increased by 17 percent if a small gift was included and by 75 percent for a large gift. Consequently, including gifts was highly profitable for the charitable organization. The contribution of this paper is twofold: first, it shows that gift-exchange is important for charitable giving, in addition to the warm-glow motive. Second, the paper confirms the economic relevance of reciprocity by using field data. This extends the current body of research on reciprocity, which is almost exclusively confined to laboratory studies.
Armin Falk, Andrea Ichino
Cited by*: 14 Downloads*: 28

While confounding factors typically jeopardize the possibility to use observational data to measure peer effects, field experiments offer the possibility to obtain clean evidence. In this paper we measure the output of four randomly selected groups of individuals who were asked to fill letters in envelopes, with a remuneration completely independent of output. For two of these groups the output of peers was exogenously manipulated (low or high) by making individuals aware of the number of letters previously produced by artificial colleagues. In the third group individuals were set up to work one in front of the other, while the fourth group gave the baseline output for independent not manipulated work. Our first finding is that effort of the less productive workers reacts in a sizeable and statistically significant way to peer pressure. Second, there is strong evidence of peer effects when individuals work in pairs. Third, these peer effects work in the direction of making the least productive individuals work harder, thereby increasing overall productivity.
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