Frequently Asked Questions 

There is no set list of prerequisite coursework for predoctoral positions.  Faculty research varies so widely that it is difficult to provide any kind of specific guidance.  That said, having a strong background in quantitative analysis and statistics is always useful, and core competence in at least one statistical software program like R, Python, or STATA is broadly useful.  For more specific recommendations, ask faculty in the field you are interested in. The requirements for specific positions are stated in the job postings. You can also learn more here.

Not at all!  In fact, many institutions are explicitly trying to recruit more candidates from fields outside of business and economics.  There is a strong belief that a diversity of academic backgrounds can only improve the research environments at our respective institutions.

No, it isn't necessary. A successful application to a PhD program depends on many parameters, ranging from strong grades, to a convincing statement of purpose, to strong reference letters, to the convincing display of creativity in research from, e.g., a research sample. One good way to supplement all these parameters is the predoc experience.  There are many other ways to prepare, as well.  In several areas, such as economics, finance, behavioral science, and accounting, it is becoming increasingly common that PhD applicants have done a predoc.  But it is not necessary, as students are also often accepted straight from college or after working in another research-oriented job (e.g., consultancy, working with government organizations, etc.). 

In most PhD programs, students get both a tuition waiver and a stipend. The size of the stipend varies by the PhD program and it may depend on qualifications. Some schools and departments admit students only with a full stipend. In addition, many PhD programs allow for students to earn additional income through research assistantships (RA) and teaching assistantships (TA). Such RA and TA activities are also important to acquire experience and develop necessary skills to then be successful both as a researcher and as an instructor.  

The main intended goal from pursuing doctoral studies is to embrace research and eventually become a professor at an academic institution. The passion for research and discovery, and the knowledge of being able to have an impact on policies to make things better, is the main driver of researchers who embrace an academic career.  

Not all PhD students, however, end up pursuing an academic career at universities. Many PhD students may eventually prefer to go to work for a government organization, such as the Federal Reserve, the International Monetary Fund (IMF), the World Bank, or the Security Exchange Commission (SEC), to name a few.  Others may prefer to go to the private sector, like consulting, investment banking, technology firms, and so on. Some others decide to go to work for non-profit organizations and put their skills to use to help others. 

To get a concrete idea, the following chart reports the distribution of faculty salaries in business schools as reported by AACSB:

The next chart instead shows median salaries across different types of occupations reported by the NSF Survey of Doctorate Recipients of 2017 across various disciplines (Computer Sciences, Mathematics and Statistics, Social Sciences and, as part of the Social Sciences, Economics):

Finally, the next chart shows the percentage of doctoral graduates by type of occupation (U.S. job positions only). The data are from the NSF Survey of Doctorate Recipients of 2017:

The application process varies among different institutions.  Very generally, they tend to follow the pattern of an initial expression of interest (submitting application materials like your CV), collecting a sample of work (either a data task or something you have already put together), and finally an interview with the professor.

A CV is intended to be a broad document which includes all your professional accomplishments.  It is helpful if you can highlight items that are of particular relevance to predoc positions, including your degrees (including those in progress), relevant coursework, past RA experience, and any coding languages you are proficient in, as well as you level of proficiency.

Your cover letter is your opportunity to give more context to items that appear in your CV.  Be sure to talk about your interest in the specific program you are applying for.  It's especially worth highlighting past RA experience, independent research, and significant coding projects or field work.  Cover letters are generally about a page long.

Many predocs, as the name implies, go on to doctoral programs in economics, business, and other quantitative social sciences.  Some go on to careers in policy research (e.g., at the Federal Reserve System) or industry.  For more specific outcomes, check an individual program's website.  PREDOC consortium members who have predoctoral programs have agreed to track their outcomes and share as they are able.

Predoctoral positions are available throughout the year, and start dates vary by sponsoring institution.  Broadly speaking, however, many institutions hire in the fall, with start dates in the subsequent summer.  There also tends to be a smaller recruiting season in late winter/early spring, again with start dates typically in the subsequent summer.  Typically, candidates must have at least a Bachelor's degree by their start date, but do not need a Bachelor's degree in hand in order to apply (i.e., many candidates apply while in the final year of their undergraduate programs).

This varies by program, so be sure to check with each institution you are interested in to see if they are able to support a visa.

First, read the application's requirements to be sure you are meeting any specific criteria, such as a preferred language or submission format.  Generally speaking, choose a substantive project you are proud of, and be sure the code is well commented and neat.  One of the most important things your code will be judged on is whether other members of a team could pick your code up and use it easily.

When you are deciding whether to accept an offer to work as a predoc, there are several things to consider.  Some of this information may come from whoever is making you an offer, but you may also want to ask if you can speak to current predocs at that institution, ideally those working for the professor or group making the offer.

• Are you working in a lab or directly for an individual professor? Labs tend to be more structured and involve work with other predocs, graduate students, postdocs, and other researchers. Working directly for a professor can mean more breadth of projects and more one-on-one time with the professor.
• How aligned are your research interests with the job being offered?  Perfect alignment isn't necessary--indeed, one of the benefits of doing a predoc is to experience other subfields. But there should be some affinity with your interests.
• What opportunities are there to take courses, attend seminars, and pursue your own skills development?
• How many other predocs are there at the institution? Is the culture among the predocs collaborative?