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-level trade data, or to contribute to state-of-the-art growth econometrics. Organisation The PhD position is embedded in the “Global Economics & Management” department of FEB’s Research Institute
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PhD position “Climate Finance: Moral Responsibilities of Financial Institutions for Decarbonization”
, regulation and the public debate. Organisation The PhD position is embedded in the research programme of Economics, Econometrics & Finance of FEB’s Research Institute. The project will be supervised by dr
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position is embedded in the research unit Development Economics of the research programme Economics, Econometrics, and Finance of FEB’s Research Institute. The project will be supervised by a team with
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Economics, Econometrics, and Finance of FEB’s Research Institute. The project will be supervised by a team with extensive experience using primary and secondary data, namely Sarah Grace See, Mark Treurniet
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economics strong theoretical and quantitative background: knowledge of econometric methods and economic modelling, previous knowledge of pest management is an advantage the ambition to publish the results
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candidate should have a background (MSc, research master) in Management, Organizational Studies, or related fields. Skills relating to quantitative research and econometrics are preferred. Additional
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) in accounting, business or finance. We are also open to candidates with a quantitative background in other directions of the social sciences, such as economics/econometrics, psychology or sociology
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that are coherent, reliable, aligned with principles of rationality, while also reflecting the preferences of their principals. Organisation The PhD position is embedded in the Economics, Econometrics, and Finance
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fluently, and has obtained excellent results in the master phase. The PhD candidate should have a background (MSc, research master) in Economics or Econometrics, preferably with a specialization in
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learning, sociometrics (in particular social network modeling), econometrics, or the like, and a strong interest in nonlinear statistical modeling. Candidates with a social science background with very