Emotional reactions to losing explain gender differences in entering a risky lottery

By Kimmo Eriksson, Brent Simpson. Judgment and Decision Making, 2010

172 citations recorded by the source corpus.

A gender difference in risk preferences, with women being more averse to risky choices, is a robust experimental finding. Speculating on the sources of this difference, Croson and Gneezy recently pointed to the tendency for women to experience emotions more strongly and suggested that feeling more strongly about negative outcomes would lead to greater risk-aversion. Here we test this hypothesis in an international survey with 424 respondents from India and 416 from US where we ask questions about a hypothetical lottery. In both countries we find that emotions about outcomes are stronger among women, and that this effect partially mediates gender difference in willingness to enter the lottery.

Subfields: Economics and Econometrics, General Decision Sciences, Safety Research

View Paper: https://www.semanticscholar.org/paper/01a0afe3bfbfdb3786cb0fd789a4169cac70de43

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Citations in the corpus

Data collection in a flat world: the strengths and weaknesses of mechanical turk samples (2013, background): “MTurk reaches a more diverse population than even some community samples, allowing researchers to gain generalizability to broader populations (Buhrmester et al., 2011) and to test research questions across cultures (Eriksson & Simpson, 2010).”
Crowdsourcing Consumer Research (2017, background): “Crowdsourcing websites also allow researchers to conduct cross-cultural research (Eriksson and Simpson 2010).”
Understanding the green buying behavior of younger Millennials from India and the United States: A structural equation modeling approach (2016, background): “…tend to be demographically diverse with a majority of workers from the United States and India (Paolacci andChandler 2014), and recent research has usedMTurk workers from both countries for cross-cultural comparisons (Eriksson and Simpson 2010; Fouad et al. 2015), thus justifying its use.”
Conducting behavioral research on Amazon’s Mechanical Turk (2011, unknown): “There is some very recent work (Eriksson & Simpson, 2010), but there is clearly room for additional research in this area.”
Inside the Turk (2014, background): “MTurk has accelerated and democratized science by facilitating access to a heterogeneous research-participant pool and has provided scientists with a platform to conduct research that is hard to conduct within physical labs or elsewhere online, such as studies of the real-time dynamics of large grou”
Public Attitudes Toward Cognitive Enhancement (2014, unknown): “[51–57].”
A reliability analysis of Mechanical Turk data (2015, background): “In what appears to be the first psychological research publication using MTurk workers as participants, Eriksson and Simpson (2010) found that both American and Indian women (relative to American and Indian men) expressed stronger negative emotional reactions to the prospect of losing money in a lot”
Breaking Monotony with Meaning: Motivation in Crowdsourcing Markets (2012, background): “For example, Eriksson and Simpson (2010) use a cross-national sample from MTurk to test whether differential preferences for competitive environments are explained by females’ stronger emotional reaction to losing, hypothesized by Croson and Gneezy (2009).”
Corpses, Maggots, Poodles and Rats: Emotional Selection Operating in Three Phases of Cultural Transmission of Urban Legends (2014, unknown): “The large supply of workers from different countries, age groups and educational backgrounds make the Turk an attractive source of participants in social science studies (Eriksson and Simpson 2010; Mason and Watts 2009).”
An MTurk Crisis? Shifts in Data Quality and the Impact on Study Results (2019, background): “…been demonstrated across a variety of study designs and numerous types of data (Behrend et al., 2011; Buhrmester et al., 2011; Casler et al., 2013; Eriksson & Simpson, 2010; Goodman, Cryder, & Cheema, 2013; Horton, Rand, & Zeckhauser, 2011; Kees et al., 2017; Mason & Watts, 2009; Paolacci &…”
Running experiments on Amazon Mechanical Turk (2010, background): “Recently, however, the population dynamics on Mechanical Turk have changed signiﬁcantly, with a greater proportion of Indian subjects in recent experiments (e.g. Eriksson & Simpson, 2010), suggesting the need for a fresh survey of the workers.”