Professor Ryan is recruiting one Fellow to work with him and his co-authors on the following projects:
The clean energy transition—the move from fossil-fuel based energy production to renewable energy production—is well underway, but is going faster in developed countries than in developing ones. The pre-doctoral fellow will work on several projects to understand the design and efficiency of energy and environmental markets in developing countries. These projects sit at the intersection of several field of economics, namely energy economics, industrial organization and economic development.
The primary project will be on the role of counterparty payment risk in bidding for solar power projects in India. The goal of this project is to see how the risk of non-payment from energy buyers may raise the price of green energy in developing countries, thus slowing down the clean energy transition. A second project studies the efficiency of reforming electricity subsidies for Indian farmers, using data from a large, ongoing field experiment. The fellow may also work on additional projects on energy and environmental markets, as time allows.
The fellow will be involved in all parts of the research process from data cleaning and analysis to the presentation of results. The pre-doctoral fellow will be expected to:
• Acquire skills related to both structural econometric methods, such as the analysis of auctions, and the analysis of data from large-scale randomized experiments.
• Clean, manage and update large datasets from both primary (household survey) and secondary (administrative market transactions) sources
• Analyze data in R, Stata and Matlab. Write and maintain fast, beautiful and reproducible code.
• Coordinate with field research activities and data collection to understand the data and possibly contribute to ongoing experiments.
The position would be for one year with the possibility of extending it for a second year. Intended start date is between June 1 and July 1, 2021.
This position will provide training in economics research to help prepare a candidate for doctoral studies in graduate school. A love of working with data is essential. Fluency in R and/or STATA is required. Additional statistical (Matlab) and general-purpose programing skills (Python) and working knowledge of Latex are preferred. Candidates need not be economics majors, but should have some experience with economics. We welcome applicants from other fields such as, but not limited to, computer science, engineering, mathematics, physics, political science, and statistics.