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of the research findings. Person Specification Candidates will be expected to have a first degree in Economics or proximate fields; strong analytical skills; experience in quantitative data analysis using large
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fields, or a minimum of 5 years of research experience in these fields after the first degree giving access to doctoral studies. • A strong background in econometrics, statistical methodologies and data
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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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stimulating research environment composed of an ambitious and excellent faculty and a large network of research institutions and facilities. The MGSE does not charge tuition fees for attending the doctoral
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. The work tasks mainly include: Planning of experiments, application for ethical approval and ordering of register data, econometric analysis of large register-based datasets, conducting health economic
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Psychology, Marketing, Business, Economics, Econometrics, Communication, Data Science, or a closely related field. You have experience with data analysis (e.g., R, SPSS, Stata, Python, SQL), web scraping, and
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(or will complete by September 2025) a (Research) Master’s degree in Psychology, Marketing, Business, Economics, Econometrics, Communication, Data Science, or a closely related field. You have
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disclosure on this topic. For instance, as of 2024, the European Corporate Social Responsibility Directive (CSRD) mandates disclosure and assurance of non-financial information for large firms. This project
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specialization in international economics, development economics, and/or applied econometrics. Familiarity with STATA or similar software packages is required; experience in managing large or complex data sets is
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Social Responsibility Directive (CSRD) mandates disclosure and assurance of non-financial information for large firms. This project aims to examine how various stakeholders affect the CSR challenges firms