https://refubium.fu-berlin.de/handle/fub188/17659 Fri, 01 May 2026 02:13:29 GMT 2026-05-01T02:13:29Z https://refubium.fu-berlin.de/handle/fub188/29452 A Joint Top Income and Wealth Distribution Steiner, Viktor; Zhu, Junyi Top distributions of income and wealth are still incompletely measured in many national statistics, particularly when using survey data. This paper develops the technique of incorporating the joint distributional relationship to enhance the estimation of these two top distributions by using the best data available for Germany. We leverage the bivariate copula to extrapolate both income and wealth distributions from German PHF (Panel on Household Finance) data under the incidental truncation model. The copula modelling grants the separability in choosing the estimation domain as well as the parametric specification between the marginal distribution and dependence structure. One distinct feature of our paper is to complement the model fit with external validation. The copula estimate can help us to perform out-of-sample prediction on the very top of the tail distribution from one margin conditional on the characteristics of the other. The validation exercises show that our copula-based approach can approximate much closer to the top tax data and wealth “rich list” than those unconditional marginal extrapolations. The data and effectiveness of our copula-based approach also verify our presumption of incidental truncation and differential detectability in the top lists. Fri, 01 Jan 2021 00:00:00 GMT https://refubium.fu-berlin.de/handle/fub188/29452 2021-01-01T00:00:00Z https://refubium.fu-berlin.de/handle/fub188/28667 A literature overview on scheduling electric vehicles in public transport and location planning of the charging infrastructure Olsen, Nils The Vehicle Scheduling Problem (VSP) is a well-studied combinatorial optimization problem arising for bus companies in public transport. The objective is to cover a given set of timetabled trips by a set of buses at minimum costs. The Electric Vehicle Scheduling Problem (E-VSP) complicates traditional bus scheduling by considering electric buses with limited driving ranges. To compensate these limitations, detours to charging stations become necessary for charging the vehicle batteries during operations. To save costs, the charging stations must be located within the road network in such a way that required deadhead trips are as short as possible or even redundant. For solving the traditional VSP, a variety of solution approaches exist capable of solving even real-world instances with large networks and timetables to optimality. In contrast, the problem complexity increases significantly when considering limited ranges and chargings of the batteries. For this reason, there mainly exist solution approaches for the E-VSP which are based von heuristic procedures as exact methods do not provide solutions within a reasonable time. In this paper, we present a literature review of solution approaches for scheduling electric vehicles in public transport and location planning of charging stations. Since existing work differ in addition to the solution methodology also in the mapping of electric vehicles' technical aspects, we pay particular attention to these characteristics. To conclude, we provide a perspective for potential further research. Wed, 01 Jan 2020 00:00:00 GMT https://refubium.fu-berlin.de/handle/fub188/28667 2020-01-01T00:00:00Z https://refubium.fu-berlin.de/handle/fub188/42524 A needs-based framework for approximating decisions and well-being Krecik, Markus Behavioral economics has so far largely avoided discussing the psychological origins of preferences, as well as their relation to needs. This has not only restricted interdisciplinary exchange, but also significantly limits the predictive capabilities of models. For example, the revealed preference approach can only reliably predict repeating choices, while needing large amounts of observations for calibration. In this paper, I show how unifying preferences with the psychological concept of needs strengthens economic models, by developing a decision-making framework for well-being assessment and choice prediction. To present the direct merit of this approach, I show how this framework yields a systematic approximation scheme, which is able to solve limitations of current approaches by describing new alternatives, non-repeating choices, or otherwise unobservable desires. Meanwhile, the approximation scheme requires less observations on an individual level than current approaches. I achieve this by constructing a hierarchical dependency between human motivations and preferences through the language of needs. I show the basic feasibility of the approximation scheme through simulations on random populations. In practice, the framework is applicable in situations where individuals exert choices only once and measuring preferences is expensive, like evaluating policy proposals or predicting decisions under technological change Mon, 01 Jan 2024 00:00:00 GMT https://refubium.fu-berlin.de/handle/fub188/42524 2024-01-01T00:00:00Z https://refubium.fu-berlin.de/handle/fub188/22056 A Note on Automation, Stagnation, and the Implications of a Robot Tax Gasteiger, Emanuel; Prettner, Klaus We analyze the long-run growth effects of automation in the canonical overlapping generations framework. While automation implies constant returns to capital within this model class (even in the absence of technological progress), we show that it does not have the potential to lead to positive long-growth. The reason is that automation suppresses wages, which are the only source of investment because of the demographic structure of the overlapping generations model. This result stands in sharp contrast to the effects of automation in the representative agent setting, where positive long-run growth is feasible because agents can invest out of their wage income and out of their asset income. We also analyze the effects of a robot tax that has featured prominently in the policy debate on automation and show that it could raise the capital stock and per capita output at the steady state. However, the robot tax cannot induce a takeoff toward positive long-run growth. Sun, 01 Jan 2017 00:00:00 GMT https://refubium.fu-berlin.de/handle/fub188/22056 2017-01-01T00:00:00Z