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Field
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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
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) measure that includes non-market agricultural outputs and impacts beyond environmental indicators. The ideal candidate will hold a PhD in agricultural economics, econometrics, environmental economics, or a
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and satisfactory performance in the initial year. Minimum Qualifications: Ph.D. in accounting or related field by the start of the position or soon after Advanced training in econometrics, empirical
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. Expertise in metals and materials markets, energy technology manufacturing, or supply chains. Proficiency in economic analysis techniques such as econometrics, input-output models, and cost modeling
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. Experience with transportation or housing-related research, including familiarity with transit-induced displacement literature. Familiarity with spatial econometrics and discrete choice modeling. Experience
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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
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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
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(community interventions, community-based participatory research, meta-analysis and bias in research, RCT methods, causal interference, mathematical modeling, and econometrics) Policy research related
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science, econometrics, and integrated assessment modeling to develop and implement a strategy for integrating health into the SSP narratives and quantifications. The ideal candidate is analytical, organized
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economy settings. Advanced training in statistical packages, econometrics and programming is essential and a robust understanding of economic theory and modelling is welcome. The position does not require