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or soon after Advanced training in econometrics, empirical archival methods, and causal inference methods Strong programming skills in Stata, SAS, R, Python, or similar software Experience in teaching
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research through data acquisition and management, econometric analysis, writing, and dissemination of results. The candidate is expected to publish in leading scholarly journals in veterinary medicine
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research through data acquisition and management, econometric analysis, writing, and dissemination of results. The candidate is expected to publish in leading scholarly journals in veterinary medicine
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of despair; low-skilled labor markets; and applied econometrics (with particular attention to the new dynamic difference-in-differences literature) This position will have opportunities to co-author papers in
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of various forms. The majority of research will be conducted in Stata. Preferred Qualifications Work Experience: Experience with applied causal inference and econometric design Experience with applied
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methods, and econometric models; and 3) contributions to reports, presentations, and peer-reviewed journal articles. The successful candidate will have the opportunity to collaborate with ORNL scientists
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quantitative data using advanced statistical, econometric or policy evaluation methods To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria
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advanced statistical, econometric or policy evaluation methods
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the position, preferably with a focus on health-related issues.- Demonstrated training or experience with using econometric methods (e.g., differences-in-difference, regression discontinuity, instrumental
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a PhD in agricultural and resource economics, economics, or related field by the start of the position. The ideal candidate has a strong quantitative background (econometrics and causal inference