Digit ratios (2D:4D) as predictors of risky decision making for both sexes

By Ellen Garbarino, Robert L. Slonim, Justin R. Sydnor. 2011

139 citations recorded by the source corpus.

Subfields: Gender Studies, Genetics, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/ad89e39c8dfd53e0b78d48b0aa61b32a6822a7bf

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Genetics

1. Diemo Urbig
2. Vivien D. Procher
3. Werner Bönte

In Molecular Biology

1. Diemo Urbig
2. Vivien D. Procher
3. Werner Bönte

Citations in the corpus

• Chapter 21 - Household Finance: An Emerging Field∗ (2013, unknown): “Garbarino, Slonim, and Sydnon (2011) and Sapienza, Zingales, and Maestripieri (2009) find a weak effect of low 2D:4D on risk aversion in a sample of MBA students, with a stronger effect for women, while Apicella et al. (2008) find none.”
• Biology and Selection into Entrepreneurship—The Relevance of Prenatal Testosterone Exposure (2016, background): “Previous research links PTE with entrepreneurship through the willingness to take risks, conceptualized in a uni-dimensional fashion (e.g., Garbarino et al., 2011; Trahms Figure 2 Structural Equation Model (Robustness Check) 2D:4D General risk-taking Investment risk-taking Career…”