The paper sheds some light on the education returns in Germany in the post war period. After describing higher education in Germany the current stand of higher education financing within the single states is presented. In six states tuition fees will be introduced in 2007/08 and discussions are going on in even some more. In the second part of the paper an empirical analysis is done using longitudinal data from the German social pension system. The analysis over the whole lifecycle renders results which proof that the higher education advantages are quite remarkable and might be a justification for more intensified financing by tuition fees. But all this has to be embedded into an encompassing strategy of tax and social policy, especially to prevent a strengthened process of social selection, which would be counterproductive for an increased and highly qualified human capital in Germany.

Der vorgestellte Beitrag gibt einen Überblick über die gegenwärtige Hochschulfinanzierung in Deutschland; kürzlich haben einige Bundesländer Studiengebühren eingeführt, die zu einer teilweisen Finanzierung der Studienkosten beitragen sollen. Im II. Kapitel werden außerdem kurz die finanziellen Strukturen der tertiären Ausbildung in den OECD-Ländern beschrieben. Dabei geht es vor allem um die Kostenaufteilung zwischen öffentlichem und privatem Sektor. Im III. Kapitel werden dann die Verteilungswirkungen des gegenwärtigen Finanzierungssystems kritisch hinterfragt. Dabei wird auch auf den Lebenseinkommensvorteil einer Hochschulausbildung im Detail eingegangen, bevor dann mögliche Auswirkungen einer Gebührenfinanzierung diskutiert werden. Es wird deutlich hervor gehoben, dass die Einführung von Studiengebühren in eine umfassende hochschul- und bildungspolitische Strategie eingebettet sein muss, damit eine negative Selektionswirkung auf die Jugendlichen aus Haushalten mit prekären Einkommen vermieden wird. / The paper sheds some light on the financial structures of higher education in Germany. Recently in several member states of Germany tuition fees have been introduced. Chapter II describes the current situation in Germany, the financial structures in the OECD countries and sheds some light on the higher education costs as well as parts to be borne by the public and private sector. Chapter III discussed the distributional impacts of the current German system and adds some information on the education returns in Germany in the post war period. The analysis over the whole lifecycle renders results which proof that the higher education advantages are quite remarkable and might be a justification for more intensified financing by tuition fees. But all this has to be embedded into an encompassing strategy of tax and social policy, especially to prevent a strengthened process of social selection, which would be counterproductive for an increased and highly qualified human capital in Germany.

Diese Arbeit beschäftigt sich dem Thema Studienfinanzierung. Zuerst richtet sich der Fokus auf die Analyse des Gutes Hochschulausbildung. Anschließend werden die Finanzierungsmöglichkeiten der Studierenden aufgezeigt, wobei den Krediten eine besondere Aufmerksamkeit zukommt. Die Analyse der Finanzierungssysteme in den USA und Australien ist ebenfalls Bestandteil der vorliegenden Arbeit. Hier richtet sich das Augenmerk auf die Entwicklung der Studiengebühren und die angebotenen Finanzierungsmöglichkeiten. Daran anschließend erfolgt eine Darstellung der Auswirkungen des jahrelang gebührenfrei angebotenen Hochschulstudiums in Deutschland. In diesem Zusammenhang werden die Finanzierungsstruktur deutscher Hochschulen, die soziale Zusammensetzung der Studierenden und die Akademikerquote beleuchtet. Zum Abschluss erfolgt eine empirische Untersuchung der Lebenseinkommen verschiedener Bildungsgruppen in Deutschland und damit verbunden eine Berechnung der Bildungsrenditen bestimmter Ausbildungsniveaus. / This work is directed at the theme financing of higher education. The first view goes to the analysis of the good higher education. Following, the ways of financing higher Education will be presented, in which the loans play a particular role. The breakdown of the financing schemes in the USA and Australia is a part of this work as well. In this section the history of tuition fees and the offered financing proposals are disclosed. Afterwards a presentation of the impacts of the long lasting tuition free higher education in Germany occurs. In this context the financing structure in German universities, the social composition of students at German universities and the percentage of graduates are outlined. An empirical analysis of the lifetime income from different education groups and the calculation of education returns of particular education levels in Germany conclude this work.

The paper is based on an individual life-cycle model, which describes the purely economic components of human capital. The present value of human capital is determined by all future income flows, which at the same time constitute the individual as well as the total tax base of a nation. Therefore, the income of the productive population determines the total tax revenue, which is spent for public goods (including education) and transfers (for poverty reduction). The efficient design of the education system (by private and public education investments) determines the quality of the human capital stock as well as the future gross income flows. The costs of public goods and the transfer expenditures have to be financed from the total tax revenue, which also affects the individual tax burden via the specific tax bases and tax rates. Especially the redistribution of income is connected with serious disincentives, influencing the preferences for work and leisure as well as for consumption and saving. An efficient tax and transfer system being accompanied by an education system financed in public private partnership, which treats equally labor and capital income, sets positive incentives for the formation of human, financial, and real capital. An important prerequisite for a sustainable growth process is the efficient design of the social security system, being based on the family as well as a collective risk equalization scheme. If that system is diminishing absolute poverty in an appropriate time period by transfers and vocational education measures for the grown-up as well as high quality primary, secondary and tertiary education programs for the children, the transfer expenditure would decrease and the tax bases (income and consumption) increase, lowering the burden on the productive population. For the first time, this micro model presented in this paper pools all the relevant variables for development within a simple life-cycle model, which can also be used for a powerful analysis of the current failures in existing tax and transfer schemes and fruitful empirical investigations. Hence, an efficient tax and transfer scheme strongly contributes to an improved national position in the global competition.

This thesis consists of an introductory part and the following four self-contained papers: In Paper [I] we analyze the implications of social identity and self-categorization for optimal redistributive income taxation. A two-type model is supplemented by an assumption that individuals select themselves into social categories, in which norms are formed and education effort choices partly depend on these norms. The results show, among other things, that externality correction by a welfarist government leads to an element of tax progression that serves to reduce the discrepancy between the effort norm and the actual effort chosen by low-productivity individuals in the high-effort group. Furthermore, if the preference for social identity is sufficiently strong, increased wage-inequality leads to higher social welfare through a relaxation of the selection constraint. It may thus be desirable to use publicly provided education to induce more wage-inequality, even if higher wage-inequality increases the intrinsic utility of a potential mimicker. In Paper [II] I employ high quality register data to present new facts about income mobility in Sweden. The focus of the paper is regional differences in mobility, using a novel approach based on a multilevel model. This method is well-suited when regions differ greatly in population size as is the case in Sweden. The maximum likelihood estimates are substantially more precise than those obtained by running separate OLS regressions. I find small regional differences in income mobility when measured in relative terms. Regional differences are large when adopting an absolute measure and focusing on children with below-median parent income. On the national level I find that the association between parent and child income ranks has decreased over time, implying increased mobility. In Paper [III] I study the long term effects of inter-municipal moving during childhood on income using Swedish register data. Due to the richness of the data I am able to control for important sources of selection into moving, such as parent separation, parents' unemployment, education, long run income, and immigration background. I find that children's long run incomes are significantly negatively affected by moving during childhood, and the effect is larger for those who move more often. For children who move once, I also estimate the effect of the timing and the quality of the move. I measure the quality of each neighborhood based on the adult outcomes for individuals who never move. The quality of a move is defined as the difference in quality between the origin and the destination. Given that a family moves, I find that the negative effect of childhood moving on adult income is increasing in age at move. Children benefit economically from the quality of the region they move to only if they move before age 12 (sons) and age 16 (daughters). In Paper [IV] I study the bias of IGE estimates for different missing-data scenarios based on simulated income processes. Using an income process from the income dynamics and risks literature to generate two linked generations’ complete income histories, I use Monte Carlo methods to study the relationship between available data patterns and the bias of the IGE. I find that the traditional approach using the average of the typically available log income observations leads to IGE estimates that are around 40 percent too small. Moreover, I show that the attenuation bias is not reduced by averaging over many father income observations. Using just one income observation for each generation at the optimal age (as discussed in the paper) or using weighted instead of unweighted averages can reduce the bias. In addition, the rank-rank slope is found to be clearly less sensitive to missing data.