Our department offers a variety of types of financial aid to students in its Ph.D. program. These include graduate fellowships, associate instructorships, and graduate assistantships, all of which usually include fee remissions. We attempt to provide financial aid to all continuing Ph.D. students in their second through fifth years, as long as they are making satisfactory progress toward the Ph.D. degree, maintain a strong overall performance, and are able to serve as an associate instructor or graduate assistant.
Fellowships & Funding
Graduate fellowships are offered to a small number of exceptional students. The stipends attached do not require specific duties, and the amount of the fellowship actually used to pay the cost of tuition, course fees, and course-related books, supplies, and equipment is excludable from taxable income. All fellowship recipients must be enrolled full time. You may receive a graduate fellowship in addition to an assistantship appointment or a fee scholarship.
Teaching assistantships + associate instructorships
Teaching assistantships (TAs) and associate instructorships (AIs) are the primary form of financial assistance for continuing students. TAs assist a faculty member in teaching introductory courses like ECON- E201/E202 and are responsible for leading discussion sections. Experienced AIs have full responsibility for teaching sections of Principles (ECON-E 201/E202) or lab sections of Statistics (ECON-E 370).
Data Purchase Grants
The CAEPR and The Department of Economics are pleased to announce the availability of funding for data purchase by PhD students in Economics.
Econ PhD students are eligible to apply, as are research teams that include at least one Econ PhD student.
Award Types and Funding Criteria:
This funding is limited to purchasing datasets. You need to demonstrate that the dataset of interest is essential for your dissertation. Additional sources of funding (with some of them listed here) are allowed and encouraged.
Grant recipients should expect to share their research by the means of a short report within a year from obtaining the grant.
Applications should be submitted by email to Christina Robertson at firstname.lastname@example.org by October 30th for Fall Considerations and by March 30th for Spring consideration. Please specify the total amount of the requested funding and the name of the corresponding dataset in the body of the email.
Successful applications must include:
A research proposal of no more than 800 words that describes the project’s content, scholarly significance, and expected contribution to your dissertation
The requested amount
Statement that to the best of your knowledge the dataset of interest is not provided through IU library or other units of IU
A supporting letter by your advisor or committee member
Please submit all three components of the application in a single PDF file.