This position will assist Professor Stefano DellaVigna with research at the forefront of Behavioral, Public, and Labor Economics. The position entails analyzing public and private datasets using quasi-experimental methods, assisting with literature reviews, helping set-up and analyze online surveys and online experiments, and using computational techniques to test predictions of economic theory and to evaluate public policies. The incumbent will perform data analysis using statistical packages such as Stata or Python and perform numerical simulations using languages such as Matlab. Will utilize collaborative tools like GitHub to manage projects and tasks. The incumbent will meet regularly (typically, daily) with Professor DellaVigna to discuss the findings and get feedback. This position will help prepare the researcher for applying to graduate programs in economics. Previous incumbents have moved on to top PhD programs in economics (MIT, Harvard, Berkeley).
Duties will include:
Basic qualifications (required at time of application): Bachelor's degree (or equivalent international degree) or enrolled in a Bachelor's degree (or equivalent international degree) program.
Additional qualifications (required at time of start): Bachelor's degree (or equivalent international degree).
Preferred qualifications:
Application Requirements:
Document requirements:
Reference requirements: 1-2 required (contact information only)
Help contact: hsangera1@berkeley.edu
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The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
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