Als Volkswirtin forschen und Ideen für die Zukunft entwickeln: Du interessierst dich für Wirtschaft und Forschung? Du möchtest später in deinem Beruf zur Lösung von Problemen in Wirtschaft und Gesellschaft beitragen? Du möchtest Ideen entwickeln, wie man die knappen Ressourcen von heute mit Rücksicht auf die Natur für den Wohlstand von Vielen effizient einsetzen kann? Dann lerne eine Ökonomin kennen, die mit ihrer Forschung zu Lösungen aktueller Probleme beiträgt, und erfahre, wie du selbst Ökonomin werden kannst. Außerdem nimmst du an einem spannenden wirtschaftswissenschaftlichen Experiment teil. Lerne dabei, wie unser Verhalten die Gesellschaft und Umwelt beeinflusst und wie wir gemeinsam Lösungen für gesellschaftliche Herausforderungen entwickeln können. Beim gemeinsamen Lunch Snack bleibt noch Zeit für Eure Fragen. Unser Angebot richtet sich an Schülerinnen ab der 8. Klasse.
Conduct research as an economist and develop ideas for the future: Are you interested in economics and research? Would you like to contribute to solving economic and social problems in your future career? Would you like to develop ideas on how to use today's scarce resources efficiently for the prosperity of many, while respecting nature? Then meet an economist who contributes to solving current problems with her research and find out how you can become an economist yourself. You will also take part in an exciting economic experiment. Learn how our behavior influences society and the environment and how we can work together to develop solutions to social challenges. There will be time for your questions during a joint lunch snack. Our offer is aimed at female students from the 8th grade onwards. The event will be held in German.
This paper quantifies why households save and work using a life-cycle model that incorporates wage risk, endogenous labor supply of both spouses, marital transitions, health, medical expenses, mortality, and bequest motives at the death of the first and last household member. We estimate it using PSID and HRS data and conduct counterfactuals to assess the quantitative role of individual mechanisms. Precautionary saving against wage risk is smaller than in models that abstract from labor supply and within-household insurance. Bequest motives and medical expenses remain important drivers of wealth, while marriage and divorce generate large but offsetting effects across household types.
Research data management (RDM) is an integral part of good scientific practice. At the same time, very practical questions arise in everyday research: How can I ensure that my data is securely stored and properly backed up? What services, IT tools, and advisory support are available at the University of Bonn to assist me and make my RDM workflow more efficient? To address these key questions, we invite you to the Research Data Service Center Roadshow 2026, an information session on research data management and the services and support available at the University of Bonn. As part of its roadshow, the Research Data Service Center will provide a concise and hands-on overview of support services and IT tools designed to help you manage your research data effectively — from DMP checks and individual consultations to suitable storage solutions, IT tools, and data publication options.
Research data management (RDM) is an integral part of good scientific practice. At the same time, very practical questions arise in everyday research: How can I ensure that my data is securely stored and properly backed up? What services, IT tools, and advisory support are available at the University of Bonn to assist me and make my RDM workflow more efficient? To address these key questions, we invite you to the Research Data Service Center Roadshow 2026, an information session on research data management and the services and support available at the University of Bonn. As part of its roadshow, the Research Data Service Center will provide a concise and hands-on overview of support services and IT tools designed to help you manage your research data effectively — from DMP checks and individual consultations to suitable storage solutions, IT tools, and data publication options.
We present a new approach to formulating and solving heterogeneous agent mod- els with aggregate risk. We replace the cross-sectional distribution with low-dimensional prices as state variables and let agents learn equilibrium price dynamics directly from sim- ulated paths. To do so, we introduce a structural reinforcement learning (SRL) method which treats prices via simulation while exploiting agents’ structural knowledge of their own in- dividual dynamics. Our SRL method yields a general and highly efficient global solution method for heterogeneous agent models that sidesteps the Master equation and handles models traditional methods struggle with, like those with nontrivial market-clearing con- ditions. We illustrate the approach in the Krusell-Smith model, the Huggett model with aggregate shocks, and a HANK model with a forward-looking Phillips curve, all of which we solve globally within minutes.