社会在许多方面都出现了分化。经济学家关注穷人和富人的收入以及收入的分配，但要描绘个人生活的多个方面，需要更广泛的维度。在我们对多维极化的研究中，我们通过时间扩展了收入维度，时间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显著来源，在社会包容/排斥和Amartya Sen的能力方法的意义上。通过对多维极化的相互依赖方法，我们允许在时间和收入之间进行补偿，这是ces型主观幸福感函数的参数，其中可能的替代由德国人口进行经验评估，而不是任意选择。在主观幸福感指标的基础上，我们提出并应用了一种新的多维极化强度/差距测度，即平均最小极化差距2DGAP。这种极化强度测量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，同时也尊重了它们的相互依存关系。利用德国社会经济面板(GSOEP)和1991/92年、2001/02年和2012/13年三次德国时间使用调查(GTUS)的详细时间使用日记数据，对相互依赖的多维极化发生率和强度进行实证调查。我们关注的是有工作的个人，因为有工作的穷人需要对经济和社会政治讨论增加兴趣。微观计量经济学的两阶段选择性校正了相互依存的多维风险(发生率)和强度的估计，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.