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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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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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the decision. In 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
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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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. 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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position is embedded in the research programme Economics, Econometrics & Finance of FEB’s Research Institute. The project will be supervised by prof. dr. Maarten Allers and dr. Dylan Jong. Qualifications
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sciences, economics/econometrics or any other (quantitative) social science discipline. We are also open to backgrounds in engineering or computer science. For the project, we are looking for someone with
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Master) in Economics or Econometrics, preferably with a specialization in international economics and/or development economics. Familiarity with STATA or similar software packages is required; experience
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management, psychology, social sciences, economics/econometrics or any other (quantitative) social science discipline. We are also open to backgrounds in engineering or computer science. For the project, we