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Predoctoral Research Fellows Program — Information for Faculty

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The Predoctoral Research Fellows program is a joint venture of the Stanford Institute for Economic Policy Research (SIEPR) and the Stanford Economics Department.  This program provides one- to two-year fellowships to candidates after completion of their undergraduate degree programs, and is designed to serve as a bridge between undergraduate and doctoral programs.  The program can appoint up to 20 total Predoctoral Research Fellows per academic year.

Our faculty request form will be available on October 1, 2018. In order to request a slot for a new or continuing fellow, please carefully review the information provided below and complete our faculty request form by Thursday, November 15, 2018. Slots will be confirmed no later than December 15, 2018 and fellows will be recruited beginning in January. SIEPR will allot remaining slots after this period (if any) on a rolling basis.

Faculty interested in securing a space in the Predoctoral Research Fellows program must complete our webform by November 15, 2018. You will be prompted to supply:

  • A short (3-4 sentence) position description indicating the research (or types of projects) that the fellow will be focusing on and any specific technical skills sought in the position;
  • A statement of the source(s) of funding for the fellow (see below for funding requirements and stipulations for requesting funding from SIEPR);
  • An indication of whether you will work with another faculty member or whether you plan to fund the fellow yourself*;
  • Whether you are currently working with a fellow you wish to reappoint, or whether a new search will be required;
  • Intended start date for the fellow
  • Current CV

FACULTY REQUEST FORM

*SIEPR must recruit and appoint Predoctoral Research Fellows to full terms (100% for 1 year). If you request space for only a half-time fellow, we encourage you to pair with another faculty member. We cannot appoint Predoctoral Research Fellows to 50% appointments.


Details


Program Structure

Faculty Responsibilities

SIEPR handles the recruitment and administrative logistics of appointing each fellow. We ask that faculty wishing to support Predoctoral Research Fellows through the program agree to:

  • Supervise the fellow on relevant research projects
  • Mentor fellow on their academic career, including advising on appropriate course(s) or directed reading(s) to complete their quarterly course requirement
  • Present once at the weekly SIEPR Predoc Research Seminar
  • Run their applicant search through the SIEPR platform
  • Provide the fellow with any required computing or data infrastructure above that supplied by the program
  • Provide constructive feedback to SIEPR about the progress of the fellow and the program when requested
  • Provide immediate feedback to the program manager if there are any issues with the fellow
  • Submit a "Research Highlight" about the work conducted with the support of your fellow. This is a 500-700 word summary of your research findings (preliminary or final) written for a broad audience.

Fellow Eligibility and Benefits

To be eligible for the program, fellows must have conferred their undergraduate degree and may not be concurrently enrolled in any other degree-granting program. Fellows are appointed as non-matriculated graduate students in the economics department. Faculty may require that finalists for their position complete a data analysis task, interview, and supply letters of recommendation. The program manager will work with the faculty members to implement this process.

Fellows in the program are provided with:

  • A quarterly stipend, nine units of graduate tuition, and health insurance;
  • A workstation and computer in the SIEPR-Gunn Building
  • Access to Stanford software and licensing (including an institutional Stata license)
  • J-1 visa sponsorship (for international candidates)

To enhance their training, fellows are required to enroll for credit in one course or directed reading of up to 3 units each quarter during the academic year. They also participate in the weekly SIEPR Predoc Research Seminar designed to provide exposure to SIEPR faculty research, new methods, and provide information on the PhD application process and other professional development opportunities.

View Expectations of Predoctoral Fellows


Funding a Predoctoral Research Fellow

Funding requirements in 2019-2020 are as follows (View past years):

For First Year Fellows Starting In: Q1 Q2 Q3 Q4 Total

Summer:

Stipend

Tuition

Cardinal Care

Health Service Fee

Subtotal

 

$12,400

$0

$1,302

$217

$13,919

 

$12,400

$3,411

$1,864

$224

$17,889

 

$12,400

$3,411

$1,864

$224

$17,889

 

$12,400

$3,411

$1,864

$224

$17,889

 

 

 

 

 

$67,586

Fall:

Stipend

Tuition

Cardinal Care

Health Service Fee

Subtotal

 

$12,400

$3,411

$1,864

$224

$17,899

 

$12,400

$3,411

$1,864

$224

$17,899

 

$12,400

$3,411

$1,864

$224

$17,899

 

$12,400

$0

$0

$224

$12,624

 

 

 

 

 

$65,937

 

For Second Year Fellows Renewing In: Q1 Q2 Q3 Q4 Total

Summer:

Stipend

Tuition

Cardinal Care

Health Service Fee

Subtotal

 

$12,400

$0

$0

$217

$12,617

 

$12,400

$3,411

$1,864

$224

$17,899

 

$12,400

$3,411

$1,864

$224

$17,889

 

$12,400

$3,411

$1,864

$224

$17,889

 

 

 

 

 

$66,314

Fall:

Stipend

Tuition

Cardinal Care

Health Service Fee

Subtotal

 

$12,400

$3,411

$1,864

$224

$17,899

 

$12,400

$3,411

$1,864

$224

$17,899

 

$12,400

$3,411

$1,864

$224

$17,899

 

$12,400

$0

$0

$224

$12,624

 

 

 

 

 

$66,321

Updated December 10, 2018. Cardinal Care Rates are estimated.
One year appointments begin in either Summer (between June 15-August 31) or Fall (between September 1-15). Quarterly fees cannot be prorated. Health insurance is not assessed in Summer Quarter for continuing fellows.

Funding Sources

Fellows can be funded from faculty research accounts, gift funding, departmental funding or training grants. If you intend to fund your fellow from a sponsored project, the grant must have a training component that allows graduate student stipends and tuition to be charged. At this time, SIEPR is not able to process fellow compensation as salary through sponsored research.

Applying for Funding from SIEPR (Priority for SIEPR Faculty Fellows):

SIEPR has funding available to support a limited number of fellows for SIEPR faculty and will prioritize available funding for SIEPR Faculty Fellows. Applications are through a supplement to the webform. Decisions will be made no later than December 15, 2018. SIEPR will assess each proposal’s intellectual and technical merit and its potential to make an important contribution to economic policy research.


Sample Position Descriptions:

Professor ______ seeks a highly skilled individual to work as a predoctoral research fellow for a one-year term, to begin no later than September 15, 2017. The position will involve research assistance for several projects on topics related to maternal and child health, and family structure and well-being. The projects use large-scale administrative data sets from the United States, Denmark, and Sweden, and deliver implications for current policy debates. The fellow will receive exposure to and training in a broad set of applied microeconomics research methods, and experience analyzing large and complex data sets, working with programs such as Stata, SAS, and GIS, and will become knowledgeable about current policies targeting disadvantaged populations in the US and in other countries.

Professor ______'s primary project analyzes the dynamic consumption responses to the introduction of the Affordable Care Act (ACA) and their implications for the sustainability of ACA insurance exchanges. The project will use novel credit card and bank account microdata on over 8.5 million account holders from certain banks, which offers a detailed view of the consumption decisions of the banked population in the United States - including at the tails of the income distribution. The fellow will help the team clean, process, and analyze the data to measure key forces in understanding ACA attrition. There is substantial data processing require to classify the transactions into categories representing health insurance premium payments, health care utilization payments, income direct deposits, and other types of spending/income. They will use machine learning methods (such as naïve Bayes methods with Laplacian corrections) to classify the transactions into spending categories.