by Alan Isaac
Carefully weigh whom you chose for your letters. It is best to have letters from people who have evaluated your work, are familiar with your capabilities, and know you well enough to judge your personal qualities. This usually means that you will have had more than a single course with your letter writers. Preferably, you will have visited them during office hours or, even better, written a research paper under their guidance. In some situations, letters from senior faculty carry the most weight.
I am happy to provide a letter of recommendation to any student who has passed a course with me with a grade of A- or better. Lower grades by no means rule out a letter of recommendation, but they should cause you to consider carefully whether I am in a position to make the best assessment of your academic potential.
My letters of recommendation are frank summaries of what I know about you, although I of course try to emphasize the positive and make a case for you. (If I cannot do this, I will suggest that it is best to approach other faculty.) In order to help me shape my case, I require three items, which I prefer to receive by email.
:Recommender: Alan G. Isaac :Position: Professor of Economics :Organization: American University :Address: Washington, DC 20016 :Phone: (202)885-3770 :email: aisaac@american.edu
I will write a maximum of six (6) letters of recommendation for graduate study in Economics, so choose your schools wisely. As a courtesy, you should ask me for a letter of recommendation at least three weeks before you need it.
A final observation:
Occasionally I have received a gift from a student as a "thank you" for my recommendations.
While I recognize the kind intent,
I consider writing letters of recommendation to be a normal part of my job.
The only gift I wish in return is that you justify my recommendation
in your graduate studies and employment!
This section is entirely optional.
Citizenship and U.S. Immigration Status (if you are not a U.S.citizen):
Date of Birth:
Home Address: (Optional)
Job Preference: (Academic, Government, Industry, etc.) (optional; use this only if you have strong preferences)
Dissertation Title: Brief dissertation description if title inadequately informative. Major Professor: Reading Committee: Expected Date of Completion: (This should match the expectation of your references.)
M.A. in (field, Institution, date)
B.A. in (field, Institution, date)
(Other non-degree work, if applicable)
Primary: (This should match your dissertation area.) Secondary: (Optional; a short list at most.)
(optional: e.g. undergraduate econometrics)
(Course Title), (Dates)
(Course Title), (Dates)
(etc.)
(optional; use only when relevant to current employment goals)
(if any; include here only publications in refereed professional journals or books.)
(if any; submissions to journals that are still pending, e.g., “submitted to the Journal of Industrial Relations.”)
(papers you believe could be publishable with some revision; monographs you have authored or co-authored as a research assistant; etc.)
(if any; list title, exact meeting, date)
(if any, list journal)
(If applicable; generally include only those received during graduate school)
(if applicable)
Less important and entirely optional entries might include ORCID number, membership in professional organizations (e.g. AEA, ES, etc.), or significant administrative or committee work as a graduate student.
(List three, including present address, office phone, and back-up phone number or email address for messages.)
You may attach a separate page listing your graduate courses. Please do NOT list grades.
| Course No. | Course Title | Instructor |
On separate sheet, include a brief abstract of your dissertation. Include your title, major professor, and reading committee, centered at the top of the sheet. Provide a URL to your job-market paper.
Be sure to read this blog!
Applications for academic positions should be made in October and no later than mid-November. Some positions will be announced somewhat later; apply for these as soon as the announcements appear. Make sure you include all the information requested in the announcement. One piece of information sure to be requested is a vita or résumé. For this reason I offer you the sample vita above. Experience has shown that the information in this format is more than sufficient for most prospective employers' needs. It is in your best interest to keep the vita short—a maximum of four pages.
I recommend reading the appendix on vitae from A Handbook for Scholars by Mary-Claire van Leunen for advice on how to prepare a CV. It recommends the following sections in the following order (blank sections should be omitted): Degrees, Additional education, Experience, Honors, Grants, Memberships (optional, depends on field), Personal information, Publications. If you are hoping to apply to academic positions, you would do well to have one or more refereed publications on your vita.
Most aspects of the sample vita are self-explanatory, but there are a few worth emphasizing.
These are my personal observations and are not official department views.
Your graduate work should focus on three priorities: general professionalization, developing true expertise in a particular field, and finding a faculty member whose research you like well enough to do it. At the dissertation stage, most students feel they should look for ``big'' topics. Just get a piece of the action from someone who is an active researcher. You will end up with a modest contribution, a lot of professionalization and field specific skills, and a completed dissertation. In addition, you may well end up with your name on a publication, which is increasingly important on the job market (especially if you seek academic employment).
Success in our program requires just a B.A. in Economics and a willingness to really sweat over the math. (In fact true sweat is the only thing that makes an economist, whether it is sweat over a useful mathematical technique or sweat over that last nuance in the intuition behind a model's behavior.) Assume each of your courses requires at least 12 hours/week of study outside of class.
If you take five years instead of four to finish, you have foregone an entire year of income and professional experience. Most students do not adequately foresee this cost, and completion times are often even longer. Summers should be devoted to full-time study. When comps are done, it's dissertation time. See the Fellowship Guidelines (available from the Ph.D. Advisor) for a good set of expectations. If you can get it, a little summer teaching is a good idea. A record of good teaching evaluations can be a big ``leg up'' in the job market.
Our department is, in general, not a training ground for theorists. I have never (here or elsewhere) had a student I thought should be a theorist. My hope is that our program will generate good applied economists: careful, policy oriented, and broader in perspective than those produced by most departments. Of course, good empirical work requires a considerable mastery of theory.
It is very hard to communicate to students just how high the expectations are in the job market. If Economics does not become your life in graduate school, the post-graduation prospects are not pretty. Professionalization and expertise come only through extensive involvement with the field. In a job interview, it is obvious when this has not taken place. Nowadays, being underprofessionalized implies becoming underemployed with high probability. If you find you are spending less time on your studies than you would on a full-time job, it is time to question your commitment to graduate study.
The good news is that making graduate study the center of your life for a few years can be fun as well as valuable. Do not waste these years. Focus on your studies, not on your work or social life.
Mentoring is absolutely crucial. Unfortunately, most students prefer to pursue their individual research interests, which generally lack professional perspective. The right thing to do is to jump onto an existing research project, as long as it is reasonably close to one's interests.
Becoming professionalized is a long task. My experience is that most students do not take the details seriously enough. So, for example, programming errors and logical gaps in crucial arguments to not get the exhaustive attention they require. All I expect from students is that they refuse to be satisfied until they believe with good reason that their work is above reproach. This does not mean that it is impeccable, but rather that its shortcomings have been fully articulated. My experience is that most students take several years to achieve this level of professionalization. A rare few arrive with it in place, usually as a result of job experience and a perfectionist attitude. Many more arrive with a misplaced confidence in their own judgment of the profession and of their own work. A good deal of the process of professionalization is the development of an understanding of one's own limits.
This does not mean you should never find yourself pondering deep questions over a few beers. It does mean the questions should be linked to Economics and your interlocutors should be fellow students. There is far too little of this kind of interaction among the students. (Similarly, there is far too little use of economics oriented mailing lists---including my course lists---and economics oriented newsgroups.) An absolutely critical part of professionalization is critical discussion of economics with other students. I try to foster this by setting up course ``mailing lists'' and by encouraging group homeworks. But, if you can excuse and economist for speaking this way, it is a cultural thing. Some years all the incoming students talk economics; other years they do not. Those who rest on the sidelines are doing themselves a great professional disservice.
Two final observations:
These are my personal observations and are not official department views.
After completion of all your comprehensive examinations, you will conduct your dissertation research under faculty guidance. Your primary guidance will come from the chair of your dissertation committee. When you select a dissertation committee, you agree to work under the guidance of the committee and particularly under the direction of the chair of your committee. Here is some information about how I perceive the guidance process to work.
I will only direct dissertations when I feel interested in the proposed research and qualified to provide guidance. There are many interesting topics that I will not direct because they are not close enough to my expertise. If I decline to guide your proposed research, you should not assume my decision reflects poorly on your idea. It may just signal that I lack expertise in your topic area.
However, it may signal my sense that you lack expertise in your topic area. I am reluctant to guide dissertations when a student has not adequately prepared. At a minimum, a student should take all possible coursework related to the dissertation topic, including special offerings (like occasional seminar courses). You dissertation should address an area where you have already demonstrated substantial expertise.
Dissertations under my guidance will generally focus on one or more of the following topics: applications of agent-based modeling (including macropolicy applications), Post Keynesian macroeconomics, the influence of monetary policy on the distribution of income, agent-based simulations of the transmission of wealth inequality, and occasionally certain areas of philosophy and economics or exchange rate economics. (You can get a good idea of my interests by looking at my publications.) Any student working on a macroeconomic topic take any available macro seminars, including the Semina in Empirical Macroeconomics.
I have a goal that guiding a dissertation will generate one or more joint publications.
I expect empirical dissertations to include an attempted replication of an important piece of closely related empirical work. I expect all results referred to in the dissertation to be produced by a fully commented computer program, which must either be included as an appendix to the dissertation or stored in a public repository. (AU provides a repository.) Code comments must be detailed enough that I can easily understand your program. I prefer that your programming be in Python, Julia, or Mathematica, although this is not strictly speaking a requirement. I insist that the data appendix to your dissertation document your data in painstaking detail, and with the exception of large data sets I require that the actual data set be provided in a public repository (and linked from your disseration).
If you wish to include your code and data verbatim as a dissertation appendix, I can help you achieve this.
The requirements so far derive from my goals of transparency and replicability in economic research. My last requirement is more idiosyncratic. I expect dissertations written under my guidance to be written in LaTeX. Format your dissertation using the authesis class.
My rigidity about attribution and quotation might also be seen a slightly idiosyncratic. I insist on extreme care in the attribution of ideas and explicit quoting of text. For example, prefacing a long theoretical discussion with "the following discussion draws on Author (2001)" is not adequate: you need to repeatedly make attribution throughout the discussion to the appropriate sources, except when the work is your own. I will immediately cease guidance of any dissertation where I detect anything less than the strictest care in this area. Note that I am not talking about intentional plagiarism, which obviously is grounds for dismissal from the program. I am talking about a higher standard, reflecting a commitment to academic professionalism.
I will serve as a committee member on a broader range of topics than I am willing to direct. You need only persuade me that I can provide useful responses to your research project. (I leave guidance to the chair of your committee.) I find I am most often useful in providing criticism and focus to a theoretical section of a dissertation. I still expect you to have demonstrated expertise in your chosen area of research.
If I agree in principle to be part of your committee, you may then submit a formal dissertation proposal.
I am rather relaxed about the proposal stage. I consider a dissertation proposal to be a general description of the area in which you intend to work and of the contribution you intend to make. Of course, the more specific you can be the better.
The proposal should include an outline of the dissertation down to the section level, possibly in an appendix to the proposal. If the proposed research is empirical, at least one chapter should be devoted to the replication and extension of an important paper close to your proposed research. The proposal should contain a brief review of the literature, structured to indicate the areas where (and why) further research is warranted. The lit review should not simply be a sequence of notes on the extant literature. Rather it should highlight areas where questions remain unanswered and develop the framework within which your proposed research will fit. It should also contain a clear description of the question or questions you intend to answer and how you plan to answer them. In particular, it should describe any theoretical modifications you will you make, your empirical method, and your data sources.
IMPORTANT NOTE: I do not consider the dissertation proposal to be a firm contract that delineates the exact limits of the completed dissertation. Both you and I will generally discover things during the research process of which we were unaware at the outset, and the final dissertation may diverge considerably from the original vision. Specifically, I will not sign any dissertation until I am satisfied with it regardless of its fit with the proposal.
A description of the dissertation process is difficult to provide. Each dissertation and dissertation writer is different. Nevertheless, the following brief generalities may be useful. (I provide additional detail in another document.)
After the approval of the proposal, the student pursues the proposed research. The student should regularly present written chapter drafts to the dissertation committee so that we can read, evaluate, and make suggestions. This process will continue for each chapter until we believe it is satisfactorily completed. (Both here and throughout the process, you must consider the comments of all members of the dissertation committee.)
When you have presented your completed project in written chapters to the satisfaction of the chair of your committee, you and your committee will set a date for a dissertation defense. At this time, your committee will consider the dissertation as a whole. At this point, if (and this could be a significant "if") you have followed our comments throughout the process, further comments usually will be few.
Nevertheless, until the committee gives final approval of the dissertation, further work may remain. Typically, the version presented at the defense is not approved ``as is". Instead, we will enter what I consider an explicit contract detailing the additional work you need to do to satisfy the committee. When that work is done, you will have completed your dissertation.
Recapitulating, the dissertation process will involve a continual evaluation---on a chapter-by-chapter basis---of your written work by your committee, and I stress that the dissertation is not finished until it is approved by all members of the committee.
I emphasize my need to see written work because I wish to avoid long general discussions about possibilities that waste your time and mine. I do not wish to discourage specific questions about problems you confront, which may help both of us to avoid unnecessary or unproductive effort. You should, however, always keep in mind that the dissertation is your research project, not mine. Part of the research process is to confront and solve new problems on your own. My job is to provide guidance and to evaluate the product of your work. This is best done through written work.
I emphasize the chapter-by-chapter evaluation process to discourage you from going off by yourself after I approve your proposal and returning with what you consider a completed dissertation. In all likelihood, I will not find satisfactory what you have done without guidance, and I might even ask for changes that require starting over. Obtaining my step-by-step evaluation of your work should eliminate this risk of going off in the wrong direction.
Finally, I emphasize that your dissertation is completed when I and the other members of the committee consider it satisfactory. I do so to discourage you from thinking that completion can be defined as some specified amount of work. Some dissertations have been completed in less than a year; others have taken many years. Still other proposed dissertations have never been completed. If you work hard and follow the advice of your dissertation committee, I would expect most students to be able to finish in a reasonable amount of time (a year or two of full-time work, where ``a year of full-time work'' is about 2000 hours). I cannot make any guarantees, however, because too much depends on the student's own effort and competence and on the inherent riskiness of producing original research.
RETURNDissertation research should be fully reproducible. As soon as you start writing, coding, and gather data, establish a git repository for your work. Remember, only plain text files should be under version control! Also, do not place generated files under version control! This includes images, output (e.g., CSV), transformed data, etc. Remember: the original, raw datasets are never modified. I suggest starting with the following structure (which you can always change).
thesis
└── code
├─ ch01
├─ ch02
└─ ch03
└── data
├─ output
├─ raw
└─ transformed
└── writing
├─ ch01.tex
├─ ch01.tex
├─ ch02.tex
├─ ch03.tex
├─ references.bib
├─ style
└─ images
└─ .gitignore
├─ todo.md
Additionaly, avoid committing very large datasets directly to your repository. Use a service like Git LFS or host them in the AU archive and provide a link.
I have some additional idiosyncratic collection of suggestions. I intend this document to supplement to the guidelines in ``Procedures for Dissertations,'' which is available from the Department of Economics. You may also find it useful to look at Surviving Your Dissertation (Rudestam and R. Newton, 1992), In Pursuit of the Ph.D. (Bowen and Rudenstine, 1992), and S. Joseph Levine's online guide.
A dissertation is a significant original contribution to knowledge in a field. It cannot duplicate any other published work or any other dissertation. For many students the prospect of such a project is as daunting as it is exciting. Here is one view on how to get going with your dissertation.
Although many dissertations will meet all of the guidelines below, many will not (e.g., history of thought and methodological dissertations will find some of the later discussion irrelevant.) The only approval that matters when it comes to the form and content of your dissertation is that of your committee (and especially that of the chair of your committee)!
The best approach is to find a faculty member who is currently engaged in an active research project on a topic of interest to you. Propose an innovative twist to the research, and hope to jump on board! Short of this, the key here is to talk with the faculty, follow your interests, and read. Remember that you need to find a topic that is of interest both to you and to the faculty that you will need to help you.
Too many students are confident in their ability to master a new field without expert guidance. I urge you in the strongest terms to keep your research as tightly linked as possible to the research interests of the chair of your committee.
Keep reading current articles (i.e., within the last three to five years) that interest you until you find an area which you feel deserves a more extensive treatment than that available in the current literature. (Use hints from the section on the literature.) Write a brief Informal Research Proposal, say five to ten pages, summarizing your view of the literature, its gaps, and your potential contribution. (You may find it useful to consult Proposals that Work.) Present your proposal to appropriate members of the faculty, presumably the same ones with whom you have been talking all along, and ask them if they find your idea interesting and promising. If they do not, request more guidance in choosing a topic. If they do, you are ready to begin!
A final comment on your choice of topic: This still being an age of relative job scarcity (relative to your educational attainment), it would be fatuous to ignore the link between your dissertation and your employment. I would therefore encourage you to ensure that the interests that determine your preferred employment are closely related to the interests that determine your preferred dissertation topic. Employers generally will care about your dissertation much more than about your transcript. Your dissertation will be assumed to represent your primary expertise. For a discussion of the job market, I recommend Carson and Navarro (1988). For some profession-wide perspective on the links between underlying interests and selected research topics, I recommend Colander and Klamer (1987). For some general perspective on what you are doing, you might try McCloskey (1993).
A bonus: Your Informal Research Proposal should provide a strong basis for the Introduction (Chapter 1) of your dissertation. The first chapter of your dissertation should lay out the issues central to your research, discuss the methodology to be employed in exploring these issues, and illustrate the interest, importance and appropriateness of your issues and methodology--all the things that you have done in developing a proposal. (Of course, you will want to rewrite this chapter as your research proceeds and you develop a better idea about the difficulties and promises of your research.)
Although formally the Department Chair appoints your committee, the actual choosing is done by you. You must first find a member of the Graduate Faculty who is interested in being the chair of your committee. (The Department Staff can give you the list of Graduate Faculty.) Choose someone with specializations and enthusiasms which match your topic as closely as possible. Don't be shy--ask any good prospects if they are interested. Don't give up if rebuffed--a faculty member who tells you your topic is not of personal interest is not disparaging your idea. If no one is interested, you forgot to talk to the faculty in Step 1. Start over again.
The rest of the committee will be selected by you and your Chair. Normally you will select two or three more Economics Department Faculty members. You may wish to choose one person from outside the department if that person has knowledge or skills that are necessary to your research but lacking in the department. (Note: At least the Chair and one other member of your committee must be full members of the Economics Faculty.)
Before you start writing, read The Young Person's Guide to Writing Economic Theory by William Thomson. Then read it again.
Now you will put all your reading to use by writing a literature review for your proposed research area. You must exhaustively review the recent literature on your topic while providing adequate background to illustrate the historical development of its most important component ideas. Most students find it convenient to develop the early literature as a historical progression but the current literature by issue. You may also want separate reviews of the theoretical developments and the empirical evidence; however, be sure to indicate how the evidence influenced theoretical development. Keep in mind your goal here is to show exactly what theoretical and empirical gaps need to be filled (by your dissertation!).
For each paper you discuss, explicitly indicate how it is relevant to your research in terms of a) issues addressed, b) contribution, and c) shortcomings. Target your writing on readers who possess only a moderate technical background and who are not specialists in your area. This will force you to develop the theory at a level which shows your understanding and is most useful to your readers. Discussion of empirical papers must include a) estimated coefficients and summary statistics for any key regressions and b) an assessment of the data used (quarterly or annual, nominal or real, seasonally adjusted or not, etc.). I think it is very useful to include a table of key papers in your literature review. For example, the table for your empirical review would list the study (authors, date, sample period), key aspects of the model structure, the dependent variable, important non-focus explanatory variables, the focus variables, and the key findings for the focus variables.
Define variables as they appear in your literature review and then again in an appendix (or possibly as front matter). Choose a single consistent notation for the entire literature review---do not simply adopt the notation of each paper you are discussing.
Present an integrated, well written, consistent, coherent final draft to all three of your committee members. The operative word here is synthesis'. You must show that you have succeeded in synthesizing the literature in a way appropriate to your research: a series of paper summaries does not constitute a review of the literature. Make sure you indicate at the beginning of your literature review which literature you will review and why; at the end, give a concise, focused summary of the contribution of your literature review to your dissertation project.
A bonus: literature review for your research proposal will probably form the core of the second chapter of your dissertation: your Review of the Literature. (However, rather than summarize your notation in an appendix, in the dissertation you may prefer to include a notation summary as front matter.)
Many students will find it appropriate at this point to rewrite their informal research proposal and bundle it with their review of the literature to produce a formal dissertation proposal. (Once again, you may find it useful to consult Proposals that Work.) Your proposal must clearly indicate the intended theoretical and empirical contribution of the dissertation. It must be prepared in accordance with "Procedure for Submitting Thesis/Dissertation Proposal," which is available from the CAS Dean of Graduate Studies.
Before you can submit your proposal to the Dean, department guidelines state that you must gain approval for your topic by passing an oral examination by your entire committee. (This satisfies the university's oral comprehensive requirement.) While many students find this prospect intimidating, a high level of contact with your committee during the stage of proposal preparation will help you anticipate any concerns or reservations on the part of your committee.
Note: Some committees prefer to delay the proposal stage until more of the dissertation has been written. Other committees are comfortable with a relatively sketchy literature review at this stage. Find out what your committee prefers.
This may prove a short or long endeavor. For some students it will be the bulk of the dissertation. Others will save most of their effort for the empirical section. In either case, the theoretical model should be developed and constructively criticized in light of the review of the literature. Algebraic and graphical presentations of all relevant comparative statics will be contained in this chapter.
Students writing "purely empirical" dissertations may consider replacing this chapter with a review of the relevant theoretical literature, which should motivate your expected coefficients in your empirical work. My view is that you need to illustrate a deep and technical grasp of the relevant theory, which I think will be a crucial piece of professionalization in the job market. Others place less stress on this.
As with every chapter, be sure to provide extensive guidance to the reader. This does not simply mean repeating points made in early chapters, but it does mean that you will explicitly relate your theoretical work to the goals of your dissertation. At the beginning of the chapter, indicate what you are going to do and why; at the end, explain precisely how the chapter has contributed to the goals of your dissertation.
If you are writing an empirical dissertation, you will want to formulate an econometric model based on your theoretical work, estimate the model, and interpret the results of the estimation. Be sure to consider the model's purpose (e.g., prediction or policy evaluation). Check data availability early in your work. Interesting models and relevant data sources will be suggested by the existing literature. The first section is on The Empirical Model. Define each variable. Present and discuss the structural form, indicating the expected sign and magnitude of each coefficient. Be sure to indicate which variables are being treated as endogenous and why. Refer to any relevant comparative statics experiments. Then formulate your structural econometric model. When appropriate, write it in matrix form and derive the reduced and final forms. Indicate the expected sign of all reduced form coefficients. Identify the short run and long run multipliers. Finally, make sure all equations are identified: check order and rank conditions. (Of course some of you will prefer nonlinear estimation techniques.)
The second part of this chapter will discuss your Estimation procedure. Discuss your data briefly at its beginning and in detail in a Data Appendix. Data refinement may be necessary before estimation (e.g., real per capita magnitudes are most relevant for many macroeconomic variables). Is your data detrended or seasonally adjusted? Should it be? Should any observations be excluded (e.g., war years)? Are data limitations likely to introduce problems (selectivity bias, specification errors, etc.)? Mention your estimation procedure and the package used. Report all reduced form and structural form coefficients and their standard errors (comment on correction), as well as any relevant F-statistics and specification tests (e.g., for serial correlation, heteroskedasticity, or multicollinearity).
In the next section discuss your Econometric Results. Focus on the signs and magnitudes of the estimated coefficients, comparing them with your expectations and with previous results. Are there implications for future research? Are your hypotheses confirmed (refer to test statistics)? You may want to compare forecasted and actual values in this section.
Again, be sure the chapter opens with an explanation of what you are about to do and why; it should close with a summary of how your results contribute to the goals of your dissertation.
The dissertation ends with a conclusion that summarizes major results and suggests future research, a complete bibliography of your citations, and a data appendix which includes your data, the data source for each variable, and mention of any data refinements. (I also insist that any programs written to perform the econometrics be included as an appendix.) The conclusion is your opportunity to highlight what you have achieved in the dissertation, so don't skimp here. Give a nontechnical discussion of your results that emphasizes their relationship to other research. This is your chance to provide a lively synthesis of your accomplishments, so don't just summarize. Mention shortcomings as well as strengths, and suggest how any shortcomings might generate future research. Your conclusion should be the place where you i. lay out the themes that persisted in your dissertation, ii. summarize what you have done and how it relates to other research, iii. give a clear statement of your key contributions, and iv. suggest specific future research projects that follow from your dissertation. Be as specific as you can about possible future research projects, for this is your best opportunity to show that you have developed a research agenda based on your dissertation research.
NB: Be sure to consult the Guide to Preparation of Theses and Dissertations for the style guidelines you must follow for the university to accept your dissertation. This has moved around a bit, but should be at the Provost's Office.
NB: Don't forget to discuss your progress with your committee, and especially the Chair, at regular intervals. They will give you a clear indication of what remains to be done to make the dissertation acceptable. If you work in isolation, you should not be surprised if your work is not acceptable to your committee. Your committee will sign the Dissertation Completion Form only when they are satisfied that it has met their standards for an acceptable dissertation.
NB: Your dissertation should be written so as to facilitate reproducibility, as should all your published research.
Barnes, Rob, Successful Study for Degrees (NY: Routledge, 1992)
Bowen, William G., and Rudenstine, Neil L., In Pursuit of the Ph.D. (Princeton: Princeton University Press, 1992). (Includes info on completion rates and the role of aid.)
Carson, Richard, and Peter Navarro, ``A Seller's (& Buyer's) Guide to the Job Market for Beginning Economists,'' Journal of Economic Perspectives 2(2), Spring 1988, 137-148.
Colander, David, and Arjo Klamer, ``The Making of an Economist,'' Journal of Economic Perspectives 1(2), Fall 1987, 95-111.
Locke, Lawrence, et al., Proposals That Work 3rd Edition (NY: Sage, 1993). See especially the first three chapters.
McCloskey, D., ``In Pursuit of the Ph.D.: A Review Essay,'' Economics of Education Review 12(4), Dec 1993.
Peters, Robert, Getting What You Came For: The Smart Student's Guide to Earning a Masters or a Ph.D. (New York: Farrar, Straus, and Giroux, 1992)
Rudestam, K., and R. Newton, Surviving Your Dissertation (NY: Sage, 1992).
Stock, Wendy A. and John J. Siegfried, 2001, &lquot;So You Want to Earn a Ph.D. in Economics: How Much Do You Think You'll Make?&rquot; Economic Inquiry 39(2), 320-335.
Thomson, William, 1999, ``The Young Person's Guide to Writing Economic Theory,'' Journal of Economic Literature 37, 157--83.
A student sent me this view of the proposal process: Many of the first-year grad students ask questions about the "thesis proposal". Such as, "What's a thesis proposal?" and "How will I know when I've had one?" Well, first of all, a thesis proposal is not that different from a marriage proposal. You make sincere promises, you sweat profusely, you hope the other party says yes. A marriage proposal is in fact good practice for a thesis proposal. All first-year grad students are encouraged to take the marriage minicourse. On to basics. Here is a sample thesis proposal: I would like to propose solving X. The traditional way to solve X is stupid, while my way is most excellent. The traditional way suffers from all sorts of problems. My way suffers from none of these problems. I have built a prototype that takes "input" and converts that input into what I call "output". The output of my prototype is excellent, although I could make it even more excellent. This is what I would like to propose to do. You should submit a draft like this to your advisor. You should then organize a "committee". Your committee will behave roughly like any other committee, for example, the Central Committee of the Chinese Communist Party. This committee has the power to make your life utterly miserable. On the other hand, the committee can solve all of your problems with the stroke of a pen. During your proposal, some member of your committee will ask, "How will science be different after your thesis?" There are two possible answers to this question: (true) "Science will be about the same." (false) "Science will be far better off, like, incredibly." Should you lie? In the words of Alan Perlis, "Why not?" At the end of your proposal, you must then give a schedule for your thesis work. A schedule for scientific research looks like this: November: Have major conceptual breakthrough. December: Apply breakthrough to solve problem. January: Discover new problem. February: Have another major conceptual breakthrough. March: ... You should know that failure to comply with your thesis schedule is grounds for dismissal. So when should you do your proposal? You will know when the time is right.
RETURN
last update: 15 Oct 97
First and foremost, be sure to comply with the Academic Integrity Code for American University. Read and understand this code, since failure to comply can terminate your academic career. Second, note that faculty are not expected and are generally not willing to ``review'' past exam questions with you: this is the job of your study group. This applies perforce to comprehensive examinations.
There is no mystery about writing good answers. Just answer the question clearly, completely, and with an appropriate level of detail. Violations of this common sense are the most common errors.
Three common errors are digressive verbosity, cryptic brevity, and failure to follow directions.
Digressive verbosity involves excessive length, such as long summaries of background material or digressions on obliquely relevant topics. That wastes your valuable time, indicates (and may cause) a lack of focus, and suggests you do not understand the essentials of the problem. Answer the specific question asked; don't discourse on the general topic area. Avoid redundancy: don't derive the same result three different ways, and when possible combine the derivations of multiple results. Don't define terms that aren't used, state assumptions that aren't relevant, write equations that aren't necessary, or answer questions that weren't (explicitly or implicitly) asked.
Cryptic brevity is the opposite extreme: answers that are too short, not sufficiently thorough or rigorous, and don't adequately answer the questions. Be thorough and rigorous: every term or variable used should be defined (briefly), necessary assumptions should be stated, and results should be carefully derived with intuition provided. Provide full the math and intuition to accompany any graphical "proofs" of results. This is crucial. A graph cannot stand on its own: it must be supported by a full explanation. Just drawing a graph and summarizing it is generally not a complete answer. Always provide an intuitive explanation for the slope of each curve, and similarly provide an intuitive explanation of any curve shifts. Likewise, your mathematical derivations and proofs should be accompanied by clear intuitive explanations---not just descriptions that merely repeat in words what your graphs or math already say.
Failure to follow directions is a surprisingly common problem on exams and even on homeworks. The most common mistake is failure to read the directions for each section of the exam. These directions often include i. restrictions on the choice of questions, and ii. restrictions on the length of answers. Violation of these restrictions can cost you dearly. Even when sections do not explicitly restrict your answer length, there may be implicit suggestions about the level of detail. (E.g., points may be allotted, or the question may be labeled as a "long-answer" or "short-answer" question.)
Here are a few other observations, which apply regardless of how long or short your answers are.
intuitive explanationclear enough, detailed enough, and simple enough that someone who has not had the course can understand it.
A rise in the saving rate out of profits causes the long-run equilibrium growth rate to fall in the Robinson's neo-Keynesian model but not in Kaldor's. This happens because Robinson assumes an independent desired accumulation (investment) function that is increasing in the profit rate, and the profit rate necessary to finance any given level of accumulation falls when there is a higher saving rate out of profits, whereas Kaldor has no such independent investment function and assumes that in the long run growth occurs at the exogenously fixed 'natural' rate. But both models show that a higher saving rate out of profits results in a higher equilibrium real wage, because the profit rate falls in both cases and they both assume full utilization, which implies an inverse relation between w/p and r.It is the "because...." parts in italics that supply the intuition and that make for a complete comparison!
How much math is required? Use your common sense! Think about what the question is asking for, and focus on what is most important to (thoroughly and rigorously) address that specific question. If a question only asks for the general n-commodity model, don't discuss the 1-commodity version (and vice-versa). If the level of generality is not specified, you should offer the most general analysis of which you are capable. Too many students answer questions about consumer behavior, for example, by treating only the two good case. This is fine for an illustrative graph, of course, but generally inadequate as an algebraic analysis.
While unsupported conclusions asserted without adequate derivation/proof/explanation of the main results are not acceptable, it is also the case that no one expects 20 pages in answer to one question. If you are writing that much you must be going overboard. Think about what parts are not essential, and cut them out!
One final comment: study groups are very helpful. They are a fundamental component of serious academic inquiry, and are especially crucial for examination preparation. In addition, for graduate students, they are a core part of one's graduate education and professional formation.