The Behavioral Economics of Job Search During Unemployment: New Field Evidence on Search and Psychological Frictions
The Behavioral Economics of Job Search During Unemployment: New Field Evidence on Search and Psychological Frictions
批准号:
1808845
负责人:
Lynn Conell-Price
金额:
$6.9万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-09-15 至 2019-08-31
中文摘要
该奖项是作为NSF的社会,行为和经济科学博士后研究奖学金(SPRF)计划的一部分提供的,并得到经济学计划的支持。SPRF计划的目标是为学术界,工业或私营部门和政府的科学事业准备有前途的早期职业博士级科学家。SPRF的奖励包括在知名科学家的赞助下进行两年的培训,并鼓励博士后研究员进行独立研究。NSF致力于促进来自科学界各部门的科学家,包括来自代表性不足的群体的科学家参与其研究计划和活动;博士后期间被认为是实现这一目标的专业发展的重要水平。每个博士后研究员必须解决推进各自学科领域的重要科学问题。在卡内基梅隆大学的Saurabh Bhargava博士的赞助下,这个博士后奖学金支持一位研究求职行为的早期职业科学家。具体而言,本研究探讨了影响失业期间求职的心理因素。许多人发现找工作的经历令人不愉快和沮丧。这项研究旨在验证这些假设,并为可能阻碍最佳求职行为的心理机制提供新的见解。这些见解可以直接为改善求职行为、加快求职者找到合适工作的速度的政策类型提供信息。本课题旨在通过验证关于求职努力和策略的最优性的基本假设,以及沮丧等心理因素的不相关性假设,为经济学家理解求职行为做出贡献。行为洞察对劳动经济学影响缓慢的一个原因是,在实验室中很难真实地捕捉劳动力市场的动态。这项研究将通过利用数十万求职者在线求职行为的真实数据以及对失业求职者的实地实验来解决这一差距。总的来说,这将提供新的证据:(一)个人如何搜索,包括努力和搜索工资,(二)这种搜索相对于标准模型的基准的最优性,以及(三)失业的心理后果及其对搜索的影响。此外,它还将测试旨在改善工作成果的心理干预措施。关于失业求职者是否在寻找工作时处于次优状态的证据,以及如果是的话,哪些具体的干预措施可以改善求职,将对经济理论如何模拟求职决策和失业产生影响。该奖项反映了NSF的法定使命,并被认为值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估来支持。
英文摘要
This award was provided as part of NSF's Social, Behavioral and Economic Sciences Postdoctoral Research Fellowships (SPRF) program and is supported by the Economics program. The goal of the SPRF program is to prepare promising, early career doctoral-level scientists for scientific careers in academia, industry or private sector, and government. SPRF awards involve two years of training under the sponsorship of established scientists and encourage Postdoctoral Fellows to perform independent research. NSF seeks to promote the participation of scientists from all segments of the scientific community, including those from underrepresented groups, in its research programs and activities; the postdoctoral period is considered to be an important level of professional development in attaining this goal. Each Postdoctoral Fellow must address important scientific questions that advance their respective disciplinary fields. Under the sponsorship of Dr. Saurabh Bhargava at Carnegie Mellon University, this postdoctoral fellowship award supports an early career scientist studying job search behavior. Specifically, the present research explores the psychological factors that influence job search during unemployment. Many people find the experience of searching for work unpleasant and discouraging. The proposed research aims to test these assumptions and to provide new insights on the psychological mechanisms that might hinder the best possible job-search behaviors. These insights can directly inform the types of policies used to improve search behavior and speed up the pace at which job-seekers find suitable employment.This project aims to contribute to economists' understanding of job search behavior by testing basic assumptions about the optimality of search effort and strategy and the assumed irrelevance of psychological factors such as discouragement. One reason that behavioral insights have been slow to affect labor economics is the difficulty of capturing labor market dynamics realistically in the laboratory. This research will address this gap by leveraging access to real-world data on the online job search behavior of several hundred thousand job seekers, and a field experiment with unemployed job seekers. Collectively, this will provide new evidence on (i) how individuals search, including effort and search wages, (ii) the optimality of such search relative to a benchmark of the standard model, and (iii) the psychological consequences of unemployment and their effect on search. Further, it will test psychologically informed interventions intended to improve job outcomes. Evidence on whether unemployed job seekers search suboptimally for work and, if so, what specific interventions can improve search will have implications for how economic theory should model job search decisions and unemployment.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
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