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Woodland and has no direct reports. Some key skills required PhD in Economics or related area. Fields of interest are macroeconomics, labour, public finance, econometrics, and computational economics
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-relevant research related to aspects of the Medicare program, including payment policy, risk adjustment, and competition. Experience working with Medicare claims data, a deep understanding of econometrics
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and revision Educational Requirements: Work requires a PhD (bio)statistics, econometrics, data science, or related field. Experience/Skills Required: A background in commonly used programming
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. The Postdoctoral Associate will contribute to quantifying the private value of improved soil health across the U.S. using econometric techniques and combination of large-scale datasets. The start date
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, or a related field at the PhD level with zero to five years of employment experience. Technical background in economics with a focus on the mineral and energy sectors. Proven scholarly work or industry
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methods from econometrics. The project extends the work of Proctor and colleagues (Nature, 2018, https://doi.org/10.1038/s41586-018-0417-3 (link is external) ) to other impact variables. Impact variables
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of development economics, and in particular related to the ROAD project Collaborating with the PhD candidate hired on the same project Contributing to publications in scientific reviews and participating
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with researchers both at Stanford and the U.S. Census Bureau. The position is open to recent graduates of PhD programs in economics, statistics, sociology or related data science fields, preferably with
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Researcher will be in charge of : Realizing empirical research in the general field of development economics, and in particular related to the ROAD project Collaborating with the PhD candidate hired
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: Essential criteria PhD in applied mathematics, statistics, engineering, computational biology, econometrics, or a related discipline. Experience in developing complex models using real-world data, with strong