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, econometric, and other methods to strengthen causal inference using multilevel, longitudinal data and quasi-experimental approaches, along with the exploration of gender, racial/ethnic and socioeconomic
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 18 hours ago
agricultural economics, economics, statistics, or related fields (with emphasis in applied econometrics) by the time of appointment. Candidates will be evaluated on: Proficiency in Excel; demonstrated experience
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field. Previous experience working with and analyzing public health/population datasets (e.g. CDC Wonder, BRFSS, Census Bureau datasets) using econometric techniques, as evidenced by application material
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their skills in econometrics and quantitative as well as qualitative methods (such as surveys and interviews). To have a basic knowledge of Dutch as the data and partners are mainly from Dutch origin. To have
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determinants of health with a focus on cognitive decline/dementia and an emphasis on the application of epidemiologic, econometric, and other methods to strengthen causal inference using multilevel, longitudinal
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-related issues. Demonstrated training or experience with using econometric methods (e.g., differences-in-difference, regression discontinuity, instrumental variables, fixed effects for panel data, matching
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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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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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. Experience with the LSMS-ISA or other similar household level surveys. Excellent writing, research, and analysis skills Good organizational and project management skills Strong statistical/econometric skills
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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