The Lehman Sisters hypothesis

Abstract:

This article explores the Lehman Sisters hypothesis. It reviews empirical literature about gender differences in behavioural, experimental and neuro-economics as well as in other fields of behavioural research. It discusses gender differences along three dimensions of financial behaviour: risk aversion and response to uncertainty, ethics and moral attitudes, and leadership. The article argues that gender stereotypes are influential in finance, constraining women to achieve top positions in banking and sustaining a strong masculine culture. At the same time the analysis indicates that the few women who make it to the top tend to perform on average better than men, in particular under uncertainty. This is explained by a combination of gender beliefs, gender stereotypes, gender identity and flexible biological processes. Although further research is necessary, the existing empirical literature would support a plea for having more rather than fewer women in financial trade, risk management and at the top of the financial sector.

Source: Cambridge Journal of Economics

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Mothers, Friends and Gender Identity

Abstract:

This paper explores a novel mechanism of gender identity formation. Specifically, we explore how the work behavior of a teenager's own mother, as well as that of her friends' mothers, affect her work decisions in adulthood. The first mechanism is commonly included in economic models. The second, which in social psychology is also emphasized as an important factor in gender identity formation, has so far been overlooked. Accordingly, our key theoretical innovation is how the utility function is modeled. It is assumed that an adult woman's work decisions are influenced by her own mother's choices as well as her friends' mothers' choices when she was a teenager, and the interaction between the two. The empirical salience of this behavioral model is tested using a network model specification together with the longitudinal structure of the AddHealth data set. We find that both intergenerational channels positively affect a woman's work hours in adulthood, but the cross effect is negative, indicating the existence of cultural substitutability. That is, the mother's role model effect is larger the more distant she is (in terms of working hours) from the friends' mothers.

Source: National Bureau of Economic Research

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Three Paradoxes of Big Data

Abstract:

Big data is all the rage. Its proponents tout the use of sophisticated analytics to mine large data sets for insight as the solution to many of our society’s problems. These big data evangelists insist that data-driven decisionmaking can now give us better predictions in areas ranging from college admissions to dating to hiring to medicine to national security and crime prevention. But much of the rhetoric of big data contains no meaningful analysis of its potential perils, only the promise. We don’t deny that big data holds substantial potential for the future, and that large dataset analysis has important uses today. But we would like to sound a cautionary note and pause to consider big data’s potential more critically. In particular, we want to highlight three paradoxes in the current rhetoric about big data to help move us toward a more complete understanding of the big data picture. First, while big data pervasively collects all manner of private information, the operations of big data itself are almost entirely shrouded in legal and commercial secrecy. We call this the Transparency Paradox. Second, though big data evangelists talk in terms of miraculous outcomes, this rhetoric ignores the fact that big data seeks to identify at the expense of individual and collective identity. We call this the Identity Paradox. And third, the rhetoric of big data is characterized by its power to transform society, but big data has power effects of its own, which privilege large government and corporate entities at the expense of ordinary individuals. We call this the Power Paradox. Recognizing the paradoxes of big data, which show its perils alongside its potential, will help us to better understand this revolution. It may also allow us to craft solutions to produce a revolution that will be as good as its evangelists predict. 

Source: Stanford Law Review Online via Social Science Resource Network

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