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, and internal equity. Pay Range: $76,383 - $130,000 We are looking for a talented researcher with experience in econometric/quasi-experimental approaches for causal effect estimation (e.g., regression
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have a Ph.D. in economics, public policy, education, or a related field by the start date, strong quantitative and econometric skills, experience coding (in Stata, Python, R, and/or SAS), and an interest
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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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, econometrics/causal inference, data management, coding (e.g., in Stata or R), and applied policy-relevant research. Skills in geospatial analysis and/or data visualization would be a plus. The candidate should
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background in the economics of healthcare, public economics, or other fields of applied microeconomics. We are looking for strong background in data analysis, econometrics, and quasi-experimental methods