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on Neuroeconomics |
Issue of 2019‒01‒07
three papers chosen by |
By: | Cuong Nguyen; Finn Tarp |
Abstract: | Reducing gender inequality is a critically important development challenge, especially in countries with widespread and deep-rooted prejudices against women. In this study, we use a randomized control trial to examine whether facilitating Vietnamese men to reflect about gender equality can reduce their gender bias. We randomly selected two groups of husbands and requested one group to make comments on gender-related laws and another group to write stories about gender equality. We find that commenting on gender-related laws reduces men’s bias against women slightly, while writing stories has a strong effect on reducing existing prejudice against women. Moreover, writing gender-related stories improves men’s knowledge of gender-related laws. Nonetheless, there is only a small effect of this treatment on doing housework. Changing men’s behaviour in practice requires stronger, more sustained interventions. |
Date: | 2018 |
URL: | http://d.repec.org/n?u=RePEc:unu:wpaper:wp2018-171&r=all |
By: | Victor H. Aguiar; Maria Jose Boccardi; Nail Kashaev; Jeongbin Kim |
Abstract: | We study population behavior when choice is hard because considering alternatives is costly. To simplify their choice problem, individuals may pay attention to only a subset of available alternatives. We design and implement a novel online experiment that exogenously varies choice sets and consideration costs for a large sample of individuals. We provide a theoretical and statistical framework that allows us to test random consideration at the population level. Within this framework, we compare competing models of random consideration. We find that the standard random utility model fails to explain the population behavior. However, our results suggest that a model of random consideration with logit attention and heterogeneous preferences provides a good explanation for the population behavior. Finally, we find that the random consideration rule that subjects use is different for different consideration costs while preferences are not. We observe that the higher the consideration cost the further behavior is from the full-consideration benchmark, which supports the hypothesis that hard choices have a substantial negative impact on welfare via limited consideration. |
Date: | 2018–12 |
URL: | http://d.repec.org/n?u=RePEc:arx:papers:1812.09619&r=all |
By: | Fouarge, Didier (ROA / Dynamics of the labour market); Özer, Merve Nezihe (General Economics 0 (Onderwijs)); Seegers, Philipp (General Economics 2 (Macro)) |
Abstract: | Personality traits are influential in individual decision-making but have been overlooked in economic models of migration. This paper investigates the relation between Big Five personality traits and individuals’ migration intentions among alternative destinations that vary in their culture distance. We hypothesize that Big Five personality traits may alter individuals’ migration decision and destination choice through their influence on perceived psychic costs and benefits of migration. We test our hypotheses using the Fachkraft survey conducted among university students in Germany. We find that extraversion and openness are positively associated with migration intentions, while agreeableness, conscientiousness, and emotional stability negatively relate to migration intentions. We show that openness positively and extraversion negatively relate to the willingness to move to culturally distant countries even when we control for geographic distance and economic differences between countries. Using language as a cultural distance indicator provides evidence that extravert individuals are less likely to prefer linguistically distant countries while agreeable individuals are more inclined to consider such countries as alternative destinations. |
Keywords: | migration intention, destination choice, cultural distance, Big Five personality traits |
JEL: | D91 J61 Z10 |
Date: | 2018 |
URL: | http://d.repec.org/n?u=RePEc:unm:umaror:2018007&r=all |