EAGER: Differences in the Job Mobility and Earnings of U.S. Scientists and Engineers

EAGER：美国科学家和工程师的工作流动性和收入差异

• 批准号: 1550727
• 负责人: Waverly Ding
• 金额: $ 4.62万
• 依托单位: University of Maryland, College Park
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-09-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1550727&HistoricalAwards=false
• 关键词: EAGER; Differences; Job; Mobility; Earnings

Advances in science, are underpinned by matching individual scientists and engineers to jobs within science-based organizations. Mobility between jobs ensures optimal matches between individuals and jobs. However, the existing literature is largely silent on how individual characteristics pose as barriers to mobility. This project explores gender differences in the mobility patterns and earnings of U.S. scientists. The goal of this pilot project is to investigate how family-related mobility constraints, particularly those related to marital and child-rearing status, explain a considerable share of the earnings disparity. The results are important for policy aimed at increasing participation in the sciences and enabling individuals to realizing a full return on their and society's investment in scientific human capital. Using the restricted access data-files in the National Science Foundation's Scientists and Engineers Statistical Data System (SESTAT), this project uses econometric techniques to understand in STEM education efforts of potential selection effects that may cause men and women of similar ability and preferences to sort into different science and engineering fields and labor force. This project adopts an integrative framework that analyses the interplay of gender, family status, mobility and earnings for scientists and engineers.

科学的进步，是通过将科学家和工程师个人与以科学为基础的组织内的工作相匹配来支撑的。工作之间的流动确保了个人与工作之间的最佳匹配。然而，现有的文献在很大程度上是沉默的个人特点如何构成流动的障碍。该项目探讨了美国科学家流动模式和收入的性别差异。这一试点项目的目标是调查与家庭有关的流动限制，特别是与婚姻和抚养子女状况有关的流动限制，如何解释收入差距的相当大的比例。 这些结果对于旨在增加科学参与和使个人能够实现其和社会对科学人力资本投资的充分回报的政策具有重要意义。利用国家科学基金会科学家和工程师统计数据系统（SESTAT）中的限制访问数据文件，该项目使用计量经济学技术来了解STEM教育工作中潜在的选择效应，这些效应可能导致能力和偏好相似的男性和女性进入不同的科学和工程领域和劳动力。该项目采用一个综合框架，分析科学家和工程师的性别、家庭状况、流动性和收入的相互作用。