Precarious employment and regional mobility: An experimental study using a factorial survey design

该提案的目的是将DFG资助的项目“不稳定的就业和区域流动性：使用析因调查设计的实验研究”（AU 394/1-1和AB 111/8-1）的成功工作延长一年。该项目的主要目的是检验劳动力市场研究和家庭社会学关于工作特点（如收入、定期合同、区域距离）对接受新的（区域间）工作机会的意愿的影响的理论。因此，首次采用了实验设计。研究小组实施了一个因素调查模块（FSM），在一波小组研究劳动力市场和社会保障（PASS）中有五个假设的工作机会。使用这种实验方法可以比较不同工作特征的受访者（N = 4.813）的工作机会接受情况，同时避免了现有研究的选择性问题。与真实的劳动力市场相反，在试验性的密克罗尼西亚联邦，工作机会是随机分配给答卷人的。这使得隔离的工作特点的影响和估计权衡（如收入和工作保障的收益之间）没有偏见的未观察到的异质性。在第一个供资期内，按计划完成了全面的数据编制和公布工作。更新的目的是进一步编制和分析数据，重点是PASS数据集的纵向方面，并解决第一个供资期间发现的研究差距。四个研究问题是特别感兴趣的：在多大程度上做区域背景（如区域失业率或儿童保育情况）影响受访者的工作机会接受？以前的流动性和合作关系对工作机会的接受有什么影响？析因调查模块的数据是否具有较高的外部效度？工作特点，如定期合同，对于评估工作机会有多重要？

The purpose of this proposal is the one year extension of the successful work in the DFG-funded project Precarious employment and regional mobility: An experimental study using a factorial survey design (AU394/1-1 und AB111/8-1). The main aim of this project is to test theories from labour market research and sociology of the family with regard to the influence of job characteristics (e.g. income, fixed-term contracts, regional distance) on the willingness to accept a new (interregional) job offer. Therefore for the first time an experimental design is used. The research team implemented a factorial survey module (FSM) with five hypothetical job offers in one wave of the panel study Labour market and social security (PASS). Using such experimental method allows comparing the job offer acceptance of respondents (N = 4.813) conditional on various job characteristics, while avoiding the selectivity issues existing research is suffering from. In contrast to real labour markets, job offers in the experimental FSM are randomly allocated to respondents. This allows isolating the effects of job characteristics and estimating trade-offs (like those between gains of income and job security) without bias by unobserved heterogeneity. During the first funding period comprehensive data preparation and publication was achieved as intended. The aim of this renewal is to achieve further data preparation and analyses that focus on the longitudinal aspect of the PASS data set and address research gaps that were identified during the first funding period. Four research questions are of particular interest: To what extent do regional contexts (e.g. regional unemployment rates or childcare situations) influence respondents' job offer acceptance? What effect has the previous mobility- and partnership-biography on job offer acceptance? Do data from the factorial survey module hold a high external validity? How important are job characteristics, like fixed-term contracts, for the evaluation of job offers?