The Stigler Center provides funding support for research assistance, data purchases, and case writing to University of Chicago faculty whose research studies the political, economic, and cultural obstacles to more competitive markets.
Research proposal topics include (but are not limited to):
Effects of regulation on competition
- Impacts of campaign financing on legislation
- Corruption (institutional, political, and old-fashioned bribes)
- Crony capitalism
- Media capture
- Judicial capture
- Market design
Data purchases are subject to our Policy on Databases (see further below).
For research assistance, we typically provide financial support that researchers can use to compensate their own RAs. If your proposal includes a request for RA funding, please specify the number of hours, not just a dollar amount.
If you are working with coauthors from other institutions, please tell us about any applications they have made to obtain partial funding for the project.
In addition to a CV, please provide:
1) A title and clear 150-word description of the project that we may share with our corporate partners and other donors.
2) A 1 to 3 page description of the project that the Stigler Center can use to evaluate the proposal.
3) A detailed explanation of your budget items. For research assistance, please include the requirements in terms of RA hours needed, not just a dollar amount.
Applications for academic year 2019-2020 are now being accepted. Applications must be received by 11:59pm CST on June 2, 2019.
Stigler Center Policy on Databases
Raw data purchased with Stigler Center funds, or datasets created primarily by RAs supported with Stigler Center funds, should be shared with other Stigler Center faculty whenever possible. In the case of proprietary data, researchers should make a reasonable effort to obtain permission to share the data within the Stigler Center. In the case of new datasets, researchers should make the data available after a reasonable exclusivity period.
The Stigler Center board respects the difference between data that is simply purchased (or manually entered by RAs) and databases that are created through a substantial application of skill and effort by faculty members. The goal is to encourage sharing of data where it makes sense, without discouraging faculty from investing their own time in creating new datasets.
Researchers applying for data funding should investigate the feasibility of sharing the data they plan to purchase or create, and make clear in their proposals when and to what extent this will be possible. The Stigler Center board considers the availability of data to other Booth faculty as one factor in making funding decisions.