Bentley R Alexander, Brock William A, Caiado Camila C S, O'Brien Michael J
Department of Comparative Cultural Studies, University of Houston, Houston, TX 77204, USA
Department of Economics, University of Missouri, Columbia, MO 65211, USA Department of Economics, University of Wisconsin, Madison, WI 53706, USA.
Philos Trans R Soc Lond B Biol Sci. 2016 Apr 19;371(1692):20150154. doi: 10.1098/rstb.2015.0154.
Discrete choice, coupled with social influence, plays a significant role in evolutionary studies of human fertility, as investigators explore how and why reproductive decisions are made. We have previously proposed that the relative magnitude of social influence can be compared against the transparency of pay-off, also known as the transparency of a decision, through a heuristic diagram that maps decision-making along two axes. The horizontal axis represents the degree to which an agent makes a decision individually versus one that is socially influenced, and the vertical axis represents the degree to which there is transparency in the pay-offs and risks associated with the decision the agent makes. Having previously parametrized the functions that underlie the diagram, we detail here how our estimation methods can be applied to real-world datasets concerning sexual health and contraception.
在人类生育的进化研究中,离散选择与社会影响相结合发挥着重要作用,因为研究人员探索生殖决策是如何以及为何做出的。我们之前曾提出,可以通过一个启发式图表,沿着两个轴描绘决策过程,将社会影响的相对大小与收益透明度(也称为决策透明度)进行比较。横轴表示个体做出决策与受社会影响做出决策的程度,纵轴表示与个体所做决策相关的收益和风险的透明度。我们之前已对该图表背后的函数进行了参数化,在此详细说明我们的估计方法如何应用于有关性健康和避孕的真实世界数据集。