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foundation in statistics are essential. Candidates with expertise in computational methods, econometrics, causal inference, and experimental design are encouraged to apply. A qualified candidate must hold a
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Fondation Nationale des Sciences Politiques | Paris La Defense, le de France | France | about 1 month ago
13 Mar 2026 Job Information Organisation/Company Fondation Nationale des Sciences Politiques Department Department of economics Research Field Economics » Econometrics Researcher Profile Recognised
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time in related research, which utilizes modern methods of applied, econometric work, ideally based on administrative micro data. QUALIFICATIONS An appointee to the position must hold a doctoral degree
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unique large-scale longitudinal data on artists and academic scholars, the project applies methods from applied econometrics and economic demography to analyze creative productivity, originality, and
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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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field. - Evidence of strong prior experience analyzing large datasets using advanced econometric and statistical methods (using R, Stata, and/or Python). - Strong interest and experience working
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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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mutual agreement, it has the possibility to be extended to a second-year. Responsibilities: • Use advanced econometric methods to analyze large-scale datasets, including claims data • Produce policy
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will conduct econometric analyses using register-based firm-level data, contribute to the design and implementation of empirical research, prepare peer-reviewed journal articles aimed at publication in