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/vacancy/1641 Requirements Research FieldEconomics » EconometricsEducation LevelPhD or equivalent Skills/Qualifications Essential qualifications: • Ph.D. in Econometrics, Economics, Statistics or related
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collective expertise in key areas of the project including applied econometrics, public health, and health economics, will support the quantitative and domain-specific aspects of the study. This research is
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theory and real-world policy design. The PhD position is embedded in the Economics, Econometrics, and Finance research programme of FEB’s Research Institute. The project will be supervised by Dr Viktor
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quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation and the ability to work independently with a strong team orientation excellent spoken and written English and the
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., econometrics, statistics, machine learning) A high motivation and the ability to work independently with a strong team orientation Excellent spoken and written English and the will to acquire a certain working
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economics or a related discipline from a reputable university Strong knowledge in econometrics / applied mathematics / applied quantitative methods, with the ability to apply this knowledge to real-world
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-style interventions, and preventative medication. Analysis will utilise best practice in health inequalities measurement, modern econometric techniques, behavioural experiments, and modelling
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companies. Since the estimation of spatial and network models is intricated from an econometric point view, this position provides you with the ideal opportunity to both develop strong theoretical and
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characteristics of the case study areas. Geographical Information Systems (GIS) will be used to integrate and analyse these datasets, and a range of econometric and statistical modelling methods will be used
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have access to a unique cross-sectional dataset of ESG ratings of Chinese stock market listed companies. Since the estimation of spatial and network models is intricated from an econometric point view