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institutions for inclusive growth in an open society. To answer this question, we aim to use state-of-the-art micro-econometric analyses often combined with innovative unconventional data. Join us in this
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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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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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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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Science Research Forum: Developing PhD Research Projects Advanced Econometrics Fundamentals of Experimental Design and Analysis Introduction to Econometrics Course organisation The programme consists of two
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and interests: A MSc degree in a relevant field such as data science, econometrics, health economics, operations research, or a related discipline. A strong background in quantitative research, with
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expect knowledge in microeconomics, macroeconomics, and econometrics at an advanced Master's level. Exceptions from this rule are possible in special circumstances. In these cases, any missing graduate
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models or forecasting and econometric analysis Proficiency in one of the major programming languages such as Python A collaborative team player with a desire to make a personal impact within our