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homelessness that must first be filled before a credible policy engine can be built. The predoc will be tasked with programming and statistical analysis of linked administrative data on homelessness (drawing
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) * Active involvement in all stages of the research process The ideal candidate will be proficient in STATA and R, have a background in applied statistics/econometrics and causal inference, and be familiar
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coordination of firm entry and investment. Ideal candidates will have strong programming skills (R and/or Julia preferred), training in econometrics, statistics, or a quantitative social science, comfort working
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. Build and organize data as requested by principal investigator or supervisor; use common statistical programs requiring the application of job control language in generating and organizing data. Adapt new
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judgments after the supervisor outlines conceptual approach. Build and organize data as requested by principal investigator or supervisor; use common statistical programs requiring the application of job
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statistical programs requiring the application of job control language in generating and organizing data. Adapt new, nonstandard methods outlined by supervisor in designing and evaluating phases of research