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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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strong research track record, especially on ageing issues in emerging Asian economies. Excellent skills in programming, data analysis, and econometrics, with experience using household datasets from
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range of methodologies, including econometric analysis, micro-econometric demand analysis, big data analysis, health macroeconomics, discrete choice experiments, cost-effectiveness analysis, decision
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of the Principal Investigator (PI). Engage with PI and U01 investigators to conduct the aims of the research award. Conduct research using large-scale secondary data analysis. Assist PI in the calculation of novel
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able to further develop your skills in econometrics and quantitative as well as qualitative methods (e.g., surveys and interviews). Have a basic working knowledge of the Dutch language, because the data
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on the intended and unintended effects of U.S. e-cigarette regulations. Assist in data collection, coding, organizing, management, econometric analysis and dissemination. Analyze, interpret, and document research
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Norwegian registry data on the refugees’ demographic background, labour market participation and health service use available for the entire study group (N= 14,200) and a Norwegian control population (n
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economic experiments, developing survey instruments, and analyzing survey data is required. The preferred candidate also has to have experience in managing large retail data sets and household and intra
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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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. Proficiency in R (or Python or Stata), including experience with data management, spatial analysis, geocomputation. Experience working with large, complex datasets, including Consumer Reference Datasets (CRDs