Social norms are a ubiquitous feature of social life and pervade almost every aspect of human social interaction. However, despite their importance we still have relatively little empirical knowledge about the forces that drive the formation, the maintenance and the decay of social norms. In particular, our knowledge about how norms affect behavior and how norm obedience and violations shape subsequent normative standards is quite limited. Here, we present a new method that makes norms identifiable and continuously observable and, thus, empirically measurable. We show – in the context of public goods provision – the quick emergence of a widely accepted social cooperation norm that demands high contributions but – in the absence of the punishment of free-riders – norm violations are frequent and, therefore, the initial normative consensus as well as the high cooperation demands required by the norm break down. However, when peer punishment is possible, norm violations are rare from the beginning and a strong and stable normative consensus as well as high contribution requests prevail throughout. Thus, when norm compliance is costly social norms tend to unravel unless norm violations are kept to a minimum. In addition, our results indicate that – in an environment that has previously shown to be detrimental for cooperation and welfare – the opportunity to form a social norm unambiguously causes high public good contributions and group welfare when peer-punishment is possible.
The existing literature assumes that unemployment insurance (UI) affects the labor market through the job finding rate of eligible workers. I argue that this focus is too narrow. I show evidence for UI effects through three other margins: (i) search externalities; (ii) takeup of other welfare state programs; and (iii) job separations. This suggests that the analysis of optimal UI should take a more comprehensive view of how UI affects the labor market.
This paper investigates the effct of domestic market size on innovation activities across different durable good industries in the Chinese manufacturing sector. We address the endogeneity of market size by an IV strategy, based on a measure of potential market size, which is driven only by changes in the Chinese income distribution. This measure is exogenous to changes in prices and qualities of durable goods and is a valid instrument for expected future market size. Our results indicate that an increase in market size by one percent leads to an increase in firm-specific total factor productivity by 0.46 percent and an increase in labor productivity by 0:50 percent. These findings are robust to controlling for export behavior of firms and supply side drivers of R&D.
This paper provides new evidence on gender bias in teaching evaluations. We exploit a quasi-experimental dataset of 19,952 student evaluations of university faculty in a context where students are randomly allocated to female or male instructors. Despite the fact that neither students' grades nor self-study hours are affected by the instructor's gender, we find that women receive systematically lower teaching evaluations than their male colleagues. This bias is driven by male students' evaluations, is larger for mathematical courses and particularly pronounced for junior women. The gender bias in teaching evaluations we document may have direct as well as indirect effects on the career progression of women by affecting junior women's confidence and through the reallocation of instructor resources away from research and towards teaching.
Recent years have seen a large expansion in the use of rigorous impact evaluation techniques. Increasingly, public administrations are collaborating with academic economists and other quantitative social scientists to apply such rigorous methods to the study of public finance. These developments allow for more reliable measurements of the effects of different policy options on the behavioral responses of citizens, firm owners, or public officials. They can help decision makers in tax administrations, public procurement offices, and other public agencies design programs informed by well-founded evidence. This article provides an introductory overview of the most frequently used impact evaluation methods. It is aimed at facilitating communication and collaboration between practitioners and academics by introducing key vocabulary and concepts used in rigorous impact evaluation methods, starting with randomized controlled trials and comparing them with other methods ranging from simple pre–post analysis to difference-in-differences, matching estimations, and regression discontinuity designs.
Aversive emotions are likely to be a key source of irrational human decision-making but still little is known about the underlying neural circuitry. Here, we show that aversive emotions distort trust decisions and cause significant changes in the associated neural circuitry. They reduce trust and suppress trust-specific activity in left temporoparietal junction (TPJ). In addition, aversive emotions reduce the functional connectivity between TPJ and emotion-related regions such as the amygdala. We also find that the posterior superior temporal sulcus (pSTS) plays a key role in mediating the impact of aversive emotions on brain-behavior relationships. Functional connectivity of right pSTS with left TPJ not only predicts mean trust taking in the absence of negative emotions, but aversive emotions also largely remove this association between TPJ-pSTS connectivity and behavioral trust. These findings may be useful for a better understanding of the neural circuitry of affective distortions and may thus help identify the neural bases of psychiatric diseases that are associated with emotion-related psychological and behavioral dysfunctions.
Women are known to have stronger prosocial preferences than men, but it remains an open question as to how these behavioural differences arise from differences in brain functioning. Here, we provide a neurobiological account for the hypothesized gender difference. In a pharmacological study and an independent neuroimaging study, we tested the hypothesis that the neural reward system encodes the value of sharing money with others more strongly in women than in men. In the pharmacological study, we reduced receptor type-specific actions of dopamine, a neurotransmitter related to reward processing, which resulted in more selfish decisions in women and more prosocial decisions in men. Converging findings from an independent neuroimaging study revealed gender-related activity in neural reward circuits during prosocial decisions. Thus, the neural reward system appears to be more sensitive to prosocial rewards in women than in men, providing a neurobiological account for why women often behave more prosocially than men.
We experimentally investigate behavior and beliefs in a sequential prisoner’s dilemma. Each subject had to choose an action as first-mover and a conditional action as second-mover. All subjects also had to state their beliefs about others’ second-mover choices. We find that subjects’ beliefs about others’ choices are fairly accurate on average. Using the elicited beliefs, we compare the explanatory power of a few current models of social and moral preferences. The data show clear differences in explanatory power between the preference models, both without and with control for the number of free parameters. The best-performing models explain about 80% of observed behavior. We use the estimated preference parameters to identify biases in subjects’ expectations. We find a consensus bias (whereby subjects believe others behave like themselves) and a certain optimism (whereby subjects overestimate probabilities for favorable outcomes), the former being about twice as strong as the second.
