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Entrepreneurs and freelancers, the self-employed, commonly are characterized as not only to be relatively rich in income but also as to be rich in time because of their time-sovereignty in principle. Our introducing study scrutinises these results and notions about the well-being situation of self-employed persons not only by asking about traditional single income poverty but also by considering time poverty within the framework of a new interdependent multidimensional (IMD) poverty concept. The German Socio-economic panel with satisfaction data serves as the data base for the population wide evaluation of the substitution/compensation between genuine, personal leisure time and income. The available detailed Time Use Surveys of 1991/92 and 2001/2 of the Federal Statistics Office provide the data to quantify the multidimensional poverty in all the IMD poverty regimes. Important result: self-employed with regard to single income poverty, single time poverty and interdependent multidimensional time and income poverty in both years are much more affected by time and income poverty than all other active persons defining the working poor. A significant proportion of non-income-poor but time poor of the active population are not able to compensate their time deficit even by an above poverty income. These people are neglected so far within the poverty and well-being discussion, the discussion about the ´working poor´ and in the discussion about time squeeze and time pressure in general and in particular for the self-employed as entrepreneurs and freelancers.
Quality of life and satisfaction with life are of particular importance for individuals as well as for society concerning the “demographic change” with now longer retirement periods. This study will contribute to the life satisfaction discussion and quantifies life satisfaction and pattern of explanation before and after such a prominent life cycle event, the entrance into retirement. In particular, with the individual longitudinal data and 33 waves of the Socio-Economic Panel (SOEP) and the appropriate microeconometric causal fixed effects robust panel methods we ask and quantify if actual life satisfaction indeed is decreasing before re-tirement, is increasing at the entrance into retirement, and is decreasing then after certain periods back to a foregoing level. Thus, we ask if such an anticipation and adaptation pattern– as known from other promi-nent events – is also to discover for life satisfaction before and after retirement in Germany. Main result: Individual and family situation lift life satisfaction after retirement for many years, the (former) occupational situation, however, absorbs this effect both for pensioners and civil service pensioners. It remains only one period of improvement with close anticipation and adaptation at entering retirement but no furthermore significant change compared to pre-retirement life satisfaction. This holds for pensioners (German pension insurance, GRV) but there is no significant effect at all for civil service pensioners.
Abstract As simple as it is, results describing the world are heavily dependent on the quality of the underlying data. One of the very crucial variables in microanalytical analyses of well-being and human resources is income. The more, when the situation of the self-employed is regarded. This paper focus on the distribution of income based on very sound data: the German Income Tax Statistic (Einkommensteuerstatistik) 1992. New is the actual possibility to use for the first time such a sound microdatabase to analyze the self-employed in particular: a 100.000 microdata sample of the population wide German Income Tax Statistic. New is the comparison between income from dependent and self-employed work with emphasis on the entrepreneurs and professions, and new is the indepth decomposition inequality analysis of the aggregated groups and of the single professions based on an inequality generalized entropy decomposition approach. One overall striking result is: the occupational status as an employee, entrepreneur or as a profession with its connected low between inequality share is by far not the overall driving factor to ‘explain’ the overall income distribution and inequality picture of the re-unified Germany; it is the within group inequality which counts in particular.