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. • Demonstrated expertise in conducting agricultural stakeholder surveys, processing raw survey data into a usable format using statistical software programs, and analyzing data to perform causal inference using
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work on cutting-edge empirical research related to policy evaluation, climate impacts, and market analysis, leveraging synthetic control techniques to address spatial dependencies and causal inference
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structural modeling and estimation. Advanced knowledge in causal inference and use of econometric tools and statistical software (e.g., Stata, R, Python) to conduct research using secondary and primary data
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