Search behavior of workers and firms and implications for matching outcomes

工人和公司的搜索行为及其对匹配结果的影响

• 批准号: 424804176
• 负责人: Privatdozent Dr. Hermann Gartner
• 金额: --
• 依托单位: Institut für Arbeitsmarkt- und Berufsforschung der Bundesagentur für Arbeit (BA)
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2019
• 资助国家: 德国
• 起止时间: 2018-12-31 至 2022-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/424804176?language=en
• 关键词: Search; behavior; workers; firms; implications

Labor market matching is a complex process which is slowed down by frictions that impede the efficient reallocation of workers and jobs. Existing theories of the labor market following the search-and-matching approach are usually evaluated and tested on the basis of data on individual earnings histories or matched employer-employee datasets. However, these data are ultimately not sufficient to learn about the frictions that slow down match formation and determine the search behavior of both workers and firms. The goal of this project is to link several worker and firm data and to use them to provide new insights on the worker-firm matching processes and their implications for labor market dynamics. Specifically, we explore new German survey data about firms’ recruitment and workers’ job search strategies and link these data to existing administrative datasets. With the help of such linked data we will develop and quantitatively assess theoretical model frameworks in order to examine several research questions. First, we want to understand the choices of search channels by both workers and firms and their implications for matching outcomes. Second, we assess different dimensions of recruitment intensity on the employer side and their role for matching efficiency across local labor markets and over time. Third, we analyze the impact of local labor and housing market conditions for the regional scope of labor market search and their implications for the mobility of workers and jobs.

劳动力市场匹配是一个复杂的过程，阻碍工人和工作的有效再分配的摩擦减慢了这个过程。现有的劳动力市场理论遵循搜索和匹配方法，通常根据个人收入历史数据或匹配的雇主-雇员数据集进行评估和测试。然而，这些数据最终不足以了解减缓匹配形成并决定员工和公司搜索行为的摩擦。该项目的目标是将几个工人和企业数据联系起来，并利用它们提供关于工人-企业匹配过程及其对劳动力市场动态的影响的新见解。具体来说，我们探索了德国关于企业招聘和员工求职策略的新调查数据，并将这些数据与现有的管理数据集联系起来。在这些关联数据的帮助下，我们将开发和定量评估理论模型框架，以检查几个研究问题。首先，我们想了解员工和企业对搜索渠道的选择，以及它们对匹配结果的影响。其次，我们评估了雇主方面招聘强度的不同维度，以及它们在本地劳动力市场和时间匹配效率方面的作用。第三，我们分析了当地劳动力和住房市场条件对劳动力市场搜索区域范围的影响及其对工人和工作流动的影响。