Claudia Allende Santa Cruz, assistant professor of economics, is recruiting a research fellow to work closely with academic researchers. The research projects focus on understanding the effects of public policies in equilibrium, taking into account frictions that are specific to each industry (education, pharmaceutical markets, transportation). The frictions are embedded into structural microeconomic models to understand how they affect families’ and firms’ incentives.
The building blocks of each project are: (i) a model of demand and — in most cases — supply, (ii) rich administrative data, including novel records from governments, private companies, and self-collected data using surveys, and (iii) the use of exogenous sources of variation in the data from policy changes, natural experiments, or randomized control trials. The final component of each project (iv) is counterfactual policy simulations, in which the model is used to predict the equilibrium outcomes under different scenarios to understand the implications for relevant policy objectives and/or welfare.
- Managing teams: Recruiting, training, and supervising both field-based and data operations teams consisting of project assistants, field managers, field-based surveyors, and other field staff.
- Supervising data collection while ensuring data quality and productivity
- Overseeing implementation of the evaluation in accordance with the research design
- Ensuring that the project complies with IRB and the data collection and security protocols
- Maintaining relationships with any external stakeholders involved with the research study
- Preparing documents and presentations for dissemination
- Bachelor’s degree in Economics, Computer Science or related fields
- Master's degree (exceptions can be made)
- The ideal candidate has some prior research experience and keen attention to detail, as well as a willingness to learn and enthusiasm for economics.
- Familiarity with data management and analysis is required and can further be developed, including Stata or R, Python, Matlab, and Julia. Prior experience working with large, computational difficult tasks, and familiarity with applied econometrics and machine learning is preferred, but interest and ambition to learn are sufficient.
- Experience in version control, GitHub, and LaTeX (and/or be willing to learn)
- Familiarity with RCTs is desirable.
- Excellent management, organizational, and troubleshooting skills
- Flexible and self-motivated with an ability to multitask
- Strong written and verbal communication skills
- This position is ideal for candidates looking to develop their empirical research skills in preparation for applying to PhD programs in economics or related fields.