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of Classical and Bayesian econometric models of spatial location choice. • Has strong background in developing stated preference surveys. • Is proficient in programming econometric models in R, Python
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or interest in at least one of the following research areas: Artificial Intelligence and Machine Learning Computer Vision Econometrics Causal Analytics Programming Languages & Software Engineering Only
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/ Public Health/ Engineering/ Computer Science/ Mathematics • Knowledge of probability and data analysis (statistics and/ or econometrics) • Use of software like R or Python or STATA Applicants with
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data and use that information in an econometric model to obtain strategic and actionable insights for product developers. The projects on patent citation networks use network analysis and econometrics
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• Coordinating and supervising research assistants to help in the responsibilities stated above. Requirements - A PhD degree in econometrics, economics, finance, or other related fields. - Experience
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learning Econometric analyses – desirable, but not essential Writing research papers in English Good communication and teamwork skills More Information Location: Kent Ridge Campus Organization: School
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, Environmental Economics, Public Policy, or a related field. Excellent quantitative analytical skills with knowledge of econometrics. Proficiency in statistical software such as STATA and R. Experience in managing
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investigating challenges associated with the existing consumer behaviour models in psychology (e.g., underlying assumption and econometric identification), revising them to understand economic decisions based
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of: - big data analytics, economics, econometrics, laboratory/field experiments, game theory and/or agent-based modelling - anticipatory policy design and practice, including path dependency analysis
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, Environmental Economics, Public Policy, or a related field. Excellent quantitative analytical skills with knowledge of econometrics. Proficiency in statistical software such as STATA and R. Experience in managing