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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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. 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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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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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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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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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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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
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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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subject to funding. About you We are asking candidates to demonstrate their experience on the following criteria: PhD, or in the final stages of obtaining a PhD, in a relevant area of social science (e.g