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Field
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a focus in economics, or related disciplines strong analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation
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-level mathematics, microeconomics, macroeconomics, economic policy, and advanced econometrics. In the summer semester (April to July), doctoral students choose either microeconometrics or time series
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, basic applied econometrics skills, and interest in furthering these. Interest in Green Technologies and Green Energy. Experience with other social science methods (e. g. qualitative techniques, fuzzy sets
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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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. Strong knowledge of quantitative and/or computational research methods, ideally in econometric analysis or optimization and simulation models. Preferable knowledge in Python and STATA. A collaborative team
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management knowledge into relevant research designs; developing research questions; applying appropriate econometric and qualitative analytical tools; writing scientific manuscripts and compile a Ph.D. thesis
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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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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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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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module I: Basics in quantitative and qualitative methods Compulsory module II: Statistics and econometrics or Advanced methods in qualitative research Compulsory module III: The sociological and economic