Conference on the Analysis on Firms and Employees: Quantitative and Qualitative Approaches (Nurnberg, GE-Sept 2006)

提案编号：0617750机构：MD大学公园NSF程序的U：经济学首席研究员：Haltiwanger，约翰标题：对公司和员工的分析会议：不同领域的研究人员使用了不同的数据收集方法，从基于公司现场访问的观察到收集和整合关于公司和工人的大规模行政数据集，分析工作场所的组织以及它与公司绩效的关系。 每种方法都揭示了有趣的结果，但越来越清楚的是，有必要将联合收割机不同的数据收集方法结合起来，以了解人力资源做法和生产组织与公司业绩的关系，以及这些关系如何转化为更广泛的经济和社会成果。新的技术和理论发展使联合收割机更容易结合不同的数据收集方法，这正在改变由劳动经济学、产业组织和产业研究的关系所界定的经济学领域，这一发展应该得到正式鼓励。拟议的会议旨在汇集研究人员谁使用链接的雇主-雇员数据，行业研究的研究人员，研究人员谁进行了案例研究，研究人员谁正在使用新的数据收集方法的企业和工人和保密研究人员的互动，以定义和建立研究雇主-雇员数据匹配及其使用这一新兴领域。特别是，会议将（i）确定如何结合不同的研究方法数据和使用创新的数据收集方法将提高我们对工作场所的组织如何与公司绩效相关的理解，（ii）解决与新的数据收集方法相关的方法和技术挑战，以及（iii）解决结合工人和公司的详细数据时出现的保密保护和隐私问题。除了邀请有经验的研究人员发表论文外，会议还将特别尝试邀请研究生和初级研究人员，帮助和鼓励他们使用这些数据集进行研究，并开发匹配这些数据集的新方法。 通过提供扩展匹配雇主-雇员数据的方法并扩大这些数据集的用户基础，本次会议将对经济科学产生重大影响。

Proposal No: 0617750 Institution: U of MD College Park NSF Program: ECONOMICS Principal Investigator: Haltiwanger, John Title: Conference on the Analysis on Firms and Employees: Quantitative and Qualitative Approaches ABSTRACTResearchers from different fields have used different data collection methods, ranging from observations based on firm site visits to the collection and integration of large scale administrative data sets on firms and workers, to analyze the organization of the workplace and how it relates to firm performance. Each approach has unveiled interesting results, but it is becoming increasingly clear that it is necessary to combine different data collection methods in order to understand how the human resource practices and organization of production relates to firm performance and how these relationships translate into broader economic and social outcomes. New technological and theoretical developments has made easier to combine different data collection methods and this is changing the field of economics that is defined by the nexus of labor economics, industrial organization and industry studies, a development that should be should be formally encouraged. The proposed conference is designed to bring together researchers who use linked employer-employee data, industry studies researchers, researchers who have conducted case studies, researchers who are using new methods of data collection for the interactions of businesses and workers and confidentiality researchers to define and establish this emerging field of research employer-employee data matching and its use. In particular, the conference will (i) identify how combining different study approaches data and using innovative data collection methods will improve our understanding of how the organization of the workplace relate to firm performance, (ii) address methodological and technical challenges associated with new data collection methods, and (iii) address confidentiality protection and privacy issues that arise when combining detailed data on workers and firms. In addition to bringing in experienced researchers to present papers, the conference will make special attempts to bring in graduate students and junior researchers who will be helped and encouraged to use these data sets for research as well as develop new methodologies for matching such data sets. By offering to extend the methodologies of matching employer-employee data and broadening the base of users for these data sets, this conference will contribute significantly to economic science with impacts.