社会在许多方面都在疏远。经济学家关注穷人和富人的收入以及收入的分配，但要描绘出个人生活的多个方面，就需要更广泛的维度。在我们对多维极化的研究中，我们按时间扩展收入维度，这是任何个人活动的先决条件和基本资源。特别是，我们认为真正的个人时间是社会参与的一个显著来源，从社会包容/排斥的意义上和Amartya Sen的能力方法。利用多维极化的相互依赖方法，我们允许时间和收入之间的补偿，这是ces类型的主观幸福感函数的参数，其中可能的替代是由德国人口经验评估的，而不是任意选择的。在主观幸福感指数之外，我们提出并应用了一种新的强度/差距测量多维极化，即平均最小极化差距2DGAP。这种极化强度的衡量方法提供了每个单一属性的透明度，这对有针对性的政策很重要，同时它们之间的相互依存关系也得到了尊重。对相互依赖的多维极化发生率和强度的实证调查使用了德国社会经济小组(GSOEP)和详细的时间使用日记数据，这些数据来自1991/92、2001/02和2012/13年的三次德国时间使用调查(GTUS)。我们关注的是工作的个人，贫穷的工作人员需要对经济和社会政治讨论增加兴趣。微观计量经济学对相互依赖的多维风险(发生率)和强度的两阶段选择性校正估计量化了背后的社会经济因素。 Four striking results appear: First, genuine personal leisure time additional to income is a significant subjective well-being and polarization dimension. Second, its interdependence, its compensation/substitution, evaluated by the German Society, is of economic and statistical significance. Remarkably, besides compensation regimes, there are interdependent multidimensional polarization regimes where even higher income cannot compensate time deficits. Third, interdependent multidimensional polarization incidence (headcount ratio) decreased over those 20 years in Germany, however and in particular, as shown by the new minimum 2DGAP approach, interdependent multidimensional polarization intensity increased over those 20 years in Germany. Fourth, there are different multidimensional polarization results and developments for the poverty and affluence poles and regimes, for fulltime selfemployed, employees and subsequently for further socio-economic groups. And, polarization also appears with respect to social participation.