Sunday, August 20, 2017

First Days of Grad School

This last week I finally began my first week in grad school, as math camp officially kicked off for our program.

We began the week with a review of topics most relevant to microeconomics, including Real Analysis, some fundamental results from Calculus, Optimization, correspondences, lattices, and a look at various fixed point and separating hyperplane theorems.

We then covered a couple days’ worth of material in Statistics and Econometrics, with a particular emphasis on asymptotics.

Next week we’ll finish math camp by covering topics in the macroeconomics portion, where we’ll focus on solution methods for differential equations, along with stability analysis and optimal control theory.



However, beyond all of the material covered so far and yet to cover, I have found this first week particularly inspirational due to the wide and diverse interests and backgrounds of the rest of my cohort.

Speaking with the other 35 members of the cohort, listening to their brilliant ideas, and feeling the incredible potential in the room is an enormously humbling experience, and a standard that I only dream I can live up to.

I’m excited for what’s ahead and ready to meet the challenge.

Saturday, May 6, 2017

Applying to PhD Programs in Economics: Visit Days

Jumping off my last post on grad school admissions, a fun component of the entire process is each school’s visit days.

As you hopefully have the privilege to weigh competing offers in the Spring, you’ll hear arguments on both sides regarding visit days—those who think they are the most important decision factor, and those who think they don’t matter at all and in fact should not factor into our decision-making process in the first place.

Personally, I found them incredibly helpful, and while I agree that some components of these visit days should be actively discounted by the applicant when it comes to making decisions—i.e. don’t let one school’s particularly nice wine-and-dine experience outweigh more important factors like strength of potential faculty advisors, fields offered, etc.—I ultimately found an incredibly helpful level of candor from faculty, current students at each school, and prospective students who might form the cohort.

While there’s a lot of potential biases and even tricks of decision architecture that likely go into the process from both the applicants’ and the schools’ side of things (after all, on this side of the admissions game, schools are competing for the applicants they have admitted and not the other way around, and ultimately everyone is undergoing a matching process), I found the visit days really fun and helpful. I was advised most of all to enjoy the victory lap they represent, and to enjoy for once the feeling of actually being courted by the schools you spent so much time applying to.

However, to make the most of the time you’ll have at each school and make the most informed decision, I suggest you come prepared with a list of questions to ask, and as such, I have compiled below a running list of questions I kept the few weeks before visit days. Most of these questions were devised purely out of my own concerns as I began considering where to go, as well as from other online sources.

My last piece of advice though is that ultimately, the conversations you have with faculty, staff members, students, and other fellow admits that flow organically are likely to be the most informative. Definitely do not allow the need to ask all or even many of these questions get in the way of you developing a feel for each school and how you might get along in particular with the admits who may make up the rest of your cohort. After all, these are the people you’ll be spending long hours with doing problem sets, studying, socializing, and maybe even doing research and writing papers together.

For me then, getting a sense for who else was there on the admit side (and being able to see some of them at multiple schools, and in turn learn what they were thinking about as they were weighing their own choices) was probably the most critical piece of information coming out of visit days.

But to the extent the following set of questions may also be helpful, this is the non-comprehensive list of questions I came to each visit day with:


GENERAL

  • What would you consider the best and worst aspects of the Department?
  • What are important details about the program (i.e. requirements, examinations, papers) I should know? Are any in particular different from other schools’ typical requirements?
  • (For those coming from the workforce) How have those with prior experience found going back to school after some time off for work?
  • What are attrition rates like? Why do people drop out?
  • What fields are particularly popular and strong in the department?
  • Are any faculty members in my intended fields of study planning to leave soon? Are there any offers out for professors in those fields?
  • What is the math camp like?
  • How does the Department overall function? Is there a lot of politics involved in the department culture?
  • How helpful is the administration staff? How nice are the facilities?
  • Do you get a Master’s after some years, or if you have to drop out after a set number of years?
  • (For current grad students in particular) Could you remind me what field you’re going into? Who’s advising you? Any thoughts on who might be the best advisors in that field?
  • What do people typically do over the summers?

COURSEWORK
  • How do you perceive the difficulty of the courses? Of the math involved?
  • Are students competitive with each other? Do grades matter? Are students ever required to repeat core classes?
  • I notice there are often seemingly-high grade requirements for classes. Does everybody generally do that well?
  • Where do first year students study? Do they have offices?
  • What are the first year classes like? Are they well taught? Do they turn out to be useful?

RESEARCH
  • Do you have opportunities to present your research? How often? Who gives you feedback?
  • Do faculty members co-author with students? Which faculty members?
  • Do students talk to each other about or collaborate on research?
  • What are the opportunities for first-year research? When do people typically start getting involved in research?
  • What is access to data sources like?
  • What resources are available for learning statistical coding like STATA, MATLAB, R, or other programs?

TEACHING
  • What are teaching responsibilities like? What is the workload from teaching, hours and commitment-wise?

ADVISING
  • How is interaction with faculty early on?
  • (For faculty in particular) What research are you currently working on?
  • Regarding the ratio of junior vs. senior faculty, how much attention does the more distinguished faculty give you? On the other hand, how involved can you get with more junior faculty’s research?
  • How attentive are faculty advisors? How easy or hard is it for you to get face time with your advisor? Which professors are more and less available and helpful as advisors? How many hours do you meet with your advisor per week?
  • How well are first and second year students integrated into the department? How/by whom are they advised before they have committees?
  • Will a potential advisor be open to working with me? Will our working styles be complementary? How many students is s/he currently supervising, and what have their placements been like?
  • (For those interested in more “interdisciplinary” or “inter-field” work) How would advising and research work carry on in a desired field of study that draws heavily from two separate fields and advisors?

COMMUNITY/ SOCIAL LIFE
  • How do you spend your time? Do you tend to have time off often? How many nights a week do you study?
  • How is community and mental health among the grad student population?
  • What is the housing situation like?
  • How do enjoy the town or city? What is transportation and ease of access to campus, airports, etc. like?

FUNDING
  • What is the funding situation like for upper year graduate students? Do students need to do extra work beyond a standard TA or RA job to earn money?
  • Is it difficult to get funding for research needs, like data, software, travel?

Sunday, April 23, 2017

Applying to PhD Programs in Economics: Tips and Process


As I suggested more than a year ago, this last fall of 2016 I had the opportunity to apply to PhD programs in Economics.

In the hope that my experience may be helpful to someone out there also thinking about applying to graduate programs (in Economics in particular), in this first post after another long hiatus (who would have thought work and being an adult would be busy!) I will join the chorus of other great and helpful advice online in covering my application process, as well as some hints for maximizing one’s chances of success. These are of course by no means prescriptions, and no case—let alone mine—is representative of the overall process and of typical results, even for similar applicant profiles. Boilerplate/ disclaimer language aside, let’s dive in!


I had my sights on applying to PhD programs since at the very least late Junior year of college.  While I had long-considered pursuing a PhD as early as freshman year, it wasn’t until then that I fully made up my mind to jump into the process. So the first lesson is that it’s never too late to get one’s act together and produce a successful applicant profile, and my case is by far not on the extreme of the range of experiences and ages at which many candidates apply or start preparing. Moreover, the process will inherently be long and oftentimes stressful. I myself mulled over versions of my Statements of Purpose for months, and each component of my application (as I will cover down below) came very piecemeal, months at a time over the span of a couple of years (that being said, I have first-hand knowledge of other very successful candidates who have gone through the process of deciding to apply to submitting applications literally within November and December of the same application year, so every story is different).

By the beginning of Senior year though, and after some research over the summer, I didn’t consider my mathematics or research background particularly up to snuff, and hence decided that the best approach for me in particular would be to beef up these two components and, hopefully in the process, make closer connections with members of the faculty or research supervisors who could advise me and potentially serve as writers of my letters of recommendation.

So after a Senior year spent focusing harder on the math classes I was missing, on producing a good research paper in my Senior Seminar (which I have written about before), and registering and preparing for the GRE, I began working at Cornerstone Research, the economic consulting firm.

After a year of relatively carefree, adult bliss, the bulk of my application process began around June or July of 2016.

While I had already done a lot of work since graduation to prep for the application process (i.e. I took the GRE a month after graduation, took Analysis as a post-bacc while working at my research job, began a very early, generic draft of my SOP, and started researching schools to apply to), over the summer I dedicated myself to finally choosing schools, doing research on my fields of interest, and getting advice from people and potential recommenders.

During the later months of summer and early fall, I formally reached out to recommenders and met with them in person whenever feasible. I then finalized my school list to send my recommenders the actual invites to write their letters as early as possible, and from that, I prepared a tracker to make sure everything was submitted in a timely fashion and nothing fell through the cracks (chances are you’ll be applying to dozens of schools so this is essential, and even I realized last-minute that I was missing some particular items, such as the optional diversity statements or NYU’s optional video essay). While the shape of the tracker evolved as I completed more parts of each application, the final form had the following fields:
  • School Name
  • Program (Economics/ Business Economics/ Applied Economics, etc.)
  • Application Deadline
  • Username (for the Application itself)
  • Progress Updates1
    • Application Form (i.e. the portions of each application relating to demographic info, educational or professional history, etc.)
    • Transcript (U: Unofficial Okay / O: Official Required; C: Color Transcript; G: Grayscale Transcript)
    • Letters of Recommendation (Number Required)
    • Resume/ CV
    • GRE Score
    • Statement of Purpose
    • Abstract of Courses
    • Writing Sample
    • Application Fee (dollar amount)
    • Other/ Miscellaneous (e.g. Diversity Statement; Supplemental Applications; Video Essay)
1 This section of the tracker contained checkmarks for whenever each of the listed items was a required component of the application for a given school (or the word “Optional” for when it was instead an optional component). Each checkmark/ “Optional” started off as red for each school, and as I started on each school I would change the corresponding checkmarks for whatever I worked on to yellow, and finally to green when complete (the self-fulfillment I felt when the whole tracker was marked green was beyond words).



With the tracker set up, I first took care of completing the logistical items, such as sending official GRE score reports to the list of schools, secured copies of transcripts and sent the official hard copies wherever necessary, officially sent my recommendation invites to all my recommenders, as well as formally created my online accounts in the application systems for each of the schools I was applying to, and filled in all the demographic and program of interest info. This allowed me to feel productive by marking items in my tracker from red to yellow and finally to green, and let me de-stress by finishing the particularly tedious components early, buying me more time to continue research on schools and the faculty in each one that I would like to work with (a critical portion of each statement of purpose).

Indeed, with all of the above being done by the start or so of October, I spent the rest of that month and all of November with perhaps the most time-consuming aspect: finalizing each statement of purpose by filling in the generic template (describing my background and research interests) with why I was particularly interested in each program I was applying to, and discussing the work of every professor who shared some of my interests and who I thus thought would be able to guide me.  I was officially done with all my applications by November 23rd, about a week before the deadline for a couple of the earliest schools on December 1st. Thus, the last several weeks to a month of the application process all I had to do was simply follow-up with my recommenders as necessary; this was great as I had a particularly busy stretch at work right from the end of November to the middle of February, and I’m sure I would have been incredibly stressed out had I also had components of my applications yet to finish (for those still in school, finishing in late November will mean wrapping up this somewhat stressful process right before the finals stretch, which I’m sure you’ll appreciate).

I also want to make special mention of applying to the NSF, which I believe was an important signal to the programs I applied to of my real interest in graduate school and research, and was an early start at helping to formulate my research interests, coaxing my recommenders’ letters to be finished early, and generally getting me in the application groove. Moreover, if you’re one of the couple of dozen Economics candidates who win the prize, the NSF could be the key to some fantastic programs and of course, great funding!

I’ll wrap up this post by providing more details about my process and results, and with some overarching hints and themes.


As an applicant, I submitted applications to PhD programs at twenty-one (yes, that’s twenty-one) programs in Economics and closely-related areas of study (i.e. Applied and Business Economics, and Finance), and if it’s any indication of both the competitiveness and absolute randomness of the process, received six favorable decisions from these programs: four fully-funded acceptances to the PhD programs I actually applied to, one acceptance to a related Master’s program (with a rejection to the PhD program itself), and one inquiry regarding my interest in admission with no first-year funding.

This brings me to my first, and possibly most valuable piece of advice (to the extent I myself can judge the value of my own guidance): the whole process is a crapshoot; the best you can do is to weave a cohesive narrative for your interest in research and the programs you’re applying to, and understand from the start that it is a fairly random process with a lot of noise, both within and across applicants’ sets of results. While history is informative, it is by no means predictive, and you should not take someone else’s success or failure in the past as a signal for your own performance, no matter how similar their background and perceived experiences to yours.

To that extent, to maintain your sanity, simply remain organized and patient. Discipline yourself through the process by maintaining steady progress with the application components, and try to shelter yourself from the barrage of websites out there where people post legitimate (and sometimes non-legitimate) results. While it may seem fruitful to know what is being released by graduate programs, it won’t in any way change what you have already submitted or affect your chances; I myself despaired during the waiting process seeing the favorable results others were getting at the beginning while I sat in radio silence, and ultimately discovered I was subjecting myself to unnecessary grief.

Regarding hints for the application process itself, remember that marginal costs to some of the application components (or entire applications to extra schools) are incredibly small compared to the expected marginal benefit that could be obtained from possibly getting in somewhere that might be a good fit. So while it might be mentally taxing or painful, or while the extra cost from an application fee or an additional GRE score report might seem expensive, now is not the time to be stingy or lazy. Work hard, spend the time no matter how painful, and spend the extra money if feasibly within your means; it could pay off handsomely in the future and in a great school outcome!

However, having said that, try not to apply to too many programs to which you may not be a great fit. My general rule for selecting schools was to ask myself: “would I really go here if this were the only school I got into?”. Yet, because I prioritized selecting a school list early in order to allow my recommenders ample time to work on their letters and forms at their leisure, I admit I probably applied to schools that I ended up discovering weren’t great fits with my background or interests during the process of writing statements of purpose.

This brings me to my other piece of advice regarding the application components: while many people say the Statement of Purpose doesn’t really matter, I would actually suggest not to sleep on the SOP.  Even though it was by far the most time-consuming component (as it was school-specific and required lots of research), I think that the time I spent and investment I made in properly tailoring each SOP to each school and expressing my research interests and fit with each particular program ultimately showed. I would suggest to not underestimate research interests as a factor in the admission decisions of each school; I personally believe that focusing on this factor and properly expressing it pushed me to the very end in many of my top schools who saw potential in the kind of work I want to do (remember that, more than anything, graduate schools are looking to prepare research professionals and to find people who could contribute during their time there to research that matches the work of their faculty).

Since most of the application components won’t vary school-by-school, the SOP is your chance to really make an application special.  For me, at least, holding basically every other component constant (which really is the case given that the rest of the application is just GPA and set of courses, letters of recommendation, GRE scores, etc.), I feel that where I ended up doing the best was where I had more detailed, impassioned Statements of Purpose that really made a case for myself at that school; why the school and I were a mutually beneficial match based on research interests and also non-academic factors.

Lastly and perhaps most importantly, at the risk of being trite, do not underestimate yourself or your potential. While some delicate calibration and an honest conversation with yourself regarding the strength of your background and application components is necessary, remember that this process is inherently self-selective. If you have a genuine and impassioned interest in pursuing research, then you should make sure apply broadly, but boldly. Remember there are people there to help and guide you (starting with the very recommenders whom you have trusted a significant portion of your overall application package to.) Ask for honest feedback, have people read your SOP, and have some confidence, with the understanding that it’s a random process that can often let down even the best of us.

And ultimately, while there’s a lot of noise, I myself was surprised with how good my top results were, and had I decided not to apply to those top schools thinking I wasn’t worth it, writing this post could be a very different process right now.

At the end of it, I come out of a lengthy and stressful process one of the particularly lucky ones. I had the privilege of debating between four great PhD programs in Economics at Harvard, Princeton, the University of Wisconsin at Madison, and the University of Maryland, each with their compelling attributes and exemplary faculty and opportunities.

I’m excited to finally begin my graduate school this coming fall at Harvard’s Department of Economics—having chosen this program due to the strength and breadth of its faculty’s research output and interests, the possibility of conducting innovative research in fields such as Cultural Economics that would be considered niche elsewhere, and the great opportunity that it represents to feel challenged, fulfilled, and welcome in an academic community that will hopefully produce an effective and creative researcher soon.


I very much intend to revive this blog by periodically posting about what I’m sure will be an exciting grad school experience and on anything else that may be on my mind (let’s hope any hiatus isn’t six years this time).

I’d like to finish this post by encouraging those who are considering graduate school in Economics to absolutely give it a shot; the preparation and process can be grueling, and the end-results inherently arrive with a lot of noise, but with discipline and luck, the pay-off should be more than rewarding.