Statistical Modelling of Labor Market Processes in Misclassified Administrative Labor Market Data

错误分类的行政劳动力市场数据中劳动力市场过程的统计模型

• 批准号: 69240114
• 负责人: Professor Bernd Fitzenberger, Ph.D.
• 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 Units
• 财政年份: 2008
• 资助国家: 德国
• 起止时间: 2007-12-31 至 2014-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/69240114?language=en
• 关键词: Statistical; Modelling; Labor; Market; Processes

Since many years the analysis of labor market policies in Germany is of high interest for researchers and politicians alike. Results are, however, in several cases contradictory or ignore important aspects. This research project applies recently developed flexible estimators that take into account data quality problems. In our applications we use German administrative individual data of the Institute for Employment Research (IAB), Nuremberg and the German federal pension insurance, Würzburg. Data problems in these data often have a different nature than errors in survey data. In cooperation with projects we develop and implement appropriate statistical models for unemployment duration and labor market transitions which also take into account the specific problems of the IAB data and the data from the German pension system. This project focuses on the application and the implementation of methods. Our analysis will therefore provide new insights to the understanding of micro- and macroeconomic labor market processes in Germany. We will derive empirically founded recommendations for labor market policy in Germany.

多年来，对德国劳动力市场政策的分析一直是研究人员和政界人士高度关注的问题。然而，在一些情况下，结果是矛盾的或忽略了重要的方面。这项研究项目应用了最近开发的考虑数据质量问题的灵活估计器。在我们的应用程序中，我们使用了纽伦堡就业研究所(IAB)和德国联邦养老保险维尔茨堡的德国行政个人数据。这些数据中的数据问题通常与调查数据中的错误具有不同的性质。我们与项目合作，开发和实施了失业持续时间和劳动力市场过渡的适当统计模型，其中还考虑到了IAB数据和德国养老金系统数据的具体问题。本项目的重点是方法的应用和实现。因此，我们的分析将为理解德国的微观和宏观劳动力市场过程提供新的见解。我们将为德国的劳动力市场政策得出有经验依据的建议。