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this project, the candidate will use micro-econometric tools to investigate the preferences of retired households and apply analysis and numerical techniques to solve a corresponding optimal asset allocation
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, and more. The wide variety of insurance products further complicates the decision. In this project, the candidate will use micro-econometric tools to investigate the preferences of retired households
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one of the largest faculties of the University with approximately 7,000 students. It has a strong international reputation and is AACSB and EQUIS accredited. The Department of Economics, Econometrics
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. This project has the potential to expand into broader econometric applications and utilize machine learning methods to address empirically relevant questions in disciplines such as empirical industrial
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inferential results using machine learning-enhanced models. This project has the potential to expand into broader econometric applications and utilize machine learning methods to address empirically relevant
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-sectional and longitudinal econometrics and machine learning techniques to determine the relationship between environmental stressors and population health. This project is part of a larger project ECOTIP
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different levels of the environmental stress index. In addition, it will employ cross-sectional and longitudinal econometrics and machine learning techniques to determine the relationship between
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addition, it will employ cross-sectional and longitudinal econometrics and machine learning techniques to determine the relationship between environmental stressors and population health. This project is
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The Department of Economics, Econometrics and Finance of the University of Groningen invites applications for Career Track Assistant Professor position in Economic and Business History. Job
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Master degree or equivalent in (Public) Economics, Econometrics, or Statistics with an interest in Housing. Applicants with degrees in other areas will only be taken into account if sufficiently related