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Field
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interdisciplinary research. In addition, you possess: a completed MSc degree in economics, environmental science, or a related field; a solid foundation in applied quantitative methods (e.g., econometrics, spatial
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of doctoral and post-doctoral researchers from diverse backgrounds (e.g., economics, computer science, information systems, engineering, etc.), united in pursuit of sustainable solutions that positively impact
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The University of Stirling invites applications for up to three PhD positions in Applied Economics within the Applied Economics Lab, a vibrant research cluster in the Economics Division of Stirling
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covers all university tuition fees (at UK level) and an annual tax-free stipend. International students are also eligible to apply, but they will need to find other funding sources to cover the difference
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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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candidates to apply in stage one or stage two to have sufficient time for visa applications and other arrangements. Additionally, all financial aid for PhD programme students may be awarded during the first or
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for Energy Business and Economics Research (CEnBER - https://www.rug.nl/cenber/ ) and in the research programme Economics, Econometrics & Finance of FEB’s Research Institute. The project will be supervised by
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: First semester (October through March): Maths Boot Camp, Advanced Applied Microeconomics, Advanced Econometrics, Advanced Macroeconomics, Economic Policy Second semester (April through September
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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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may include (but are not limited to): peer effects, work team design, rank effects, and managerial effects. The PhD project will be primarily empirical, with a focus on applying modern micro-econometric