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  • 您的位置 > 查吉林十一选五走势图 > 会议讲座 > 讲座:Does Mandatory Overtime Law Improve Quality? Staffin...

    新十一选五走势图吉林:讲座:Does Mandatory Overtime Law Improve Quality? Staffin...

    查吉林十一选五走势图 www.fgxj.net 来源:上海交通大学安泰经济与管理学院 | 2018-11-15 | 发布:经管之家

    运营管理系学术讲座

    题目: Does Mandatory Overtime Law Improve Quality? Staffing Decisions and Operational Flexibility of Nursing

    Homes

    演讲人:Susan Lu 副教授 Purdue University

    主持人:荣鹰 教授 上海交通大学安泰经济与管理学院

    时间:2018年10月21日(周三)10:00-11:30

    地点:上海交通大学徐汇校区 包图A305室

    内容摘要:

    During the 2000s, a number of U.S. states passed laws that restrict the use of mandatory overtime and cap the maximum work hours for nurses. Using nursing homes data from 2004 to 2012, we find that these mandatory overtime laws reduce the service quality of nursing homes. This outcome can be explained by several undesirable staffing changes made by nursing homes: decreased registered nurse staffing and increased use of contract nurses and nurse trainees. We show that these observations are consistent with the predictions of a stochastic staffing model that incorporates demand uncertainty and staffing flexibility. Further, we rule out an alternative hypothesis that the quality deterioration is induced by wage changes in the local markets after the implementation of the mandatory overtime laws.

    嘉宾简介:

    Professor Susan Feng Lu is Associate Professor in the Krannert School of Management at Purdue University. She earned her Ph.D in the Kellogg School of Management at Northwestern University. In her research, Professor Lu examines how information problems affect individual behavior and the organization of firms and markets, especially the structure of those industries related to health care. Professor Lu’s work has appeared in journals including Science, Nature Scientific Reports, Review of economics and Statistics, Management Science, and Journal of Health Economics. Some of her work have been covered by media such as the Nature, the Freakeconomics, Vox and the Retraction Watch. She won the American Society of Health Economists (ASHE) student paper award, the Early Career Investigator by the NIH-funded HMORN conference and the Health Information Technology (WHITE) best paper award.

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