Thesis supervision

This page provides general advice for students writing a thesis or research report under my supervision.

The most important first step is to identify a research topic. I consider the power of economic reasoning to stem from its applicability, and take a broad and eclectic position of what would constitute suitable subject material. Therefore for a general management thesis I don’t require students to work on the same research topics that I do. A second step is to have a clear understanding of your audience. You should be able to visualise who you are writing for, and therefore what you need to achieve. A good way to develop awareness and understand a pracitioner audience is to read the following:

Harvard Business Review 

McKinsey Quarterly 

Knowledge@Wharton

For a standard empirical paper you need to ask an interesting question and deploy rigorous methods to answer it. That’s it. And yet most papers fail to do this. 

For a theoretical paper there is a closer boundary to journalism, but a big difference between good journalism and bad journalism. Your objective isn’t good journalism, it’s good research. Your learning journey isn’t research. 

A successful thesis will accomplish three things:

(1) Choose an insightful research question

The main difference between a very good thesis and an excellent thesis is whether or not you articulate, and answer, a good research question. In most theses that I see, this isn’t the case. Typically students will identify an interesting topic, and then proceed to investigate it. But the purpose of a thesis isn’t merely for you to learn about something, it’s about contributing to our collective understanding. I don’t expect students to have a good research question at the beginning of their project, but be wary of reaching the end of it without having one.

(2) Provide a rigorous literature review

A literature review is more than just a discussion of your topic, it is supposed to survey the existing literature that relates to your research question. For more see here: Writing a literature review.

(3) Utilise the right methodological framework

To start off with, I highly recommend the following articles on research design:

If you use standard research methods then be aware of the social priming replication crisis, publication bias and the problem with p hacking. For more listen to:

I would expect all theses to fit into one of the following categories:

  • Conceptual – this could be theory based, a comprehensive literature review, or some other form of non-empirical paper
  • Empirical – this is more common and investigates/answers the research question utilising data. We can split an empirical paper into 4 main sub-types:
    • Quantitative – this is the typical format for an economics paper and is based on the use of statistical tests and model building to analyse measurable phenomena.
      • The quality of a model rests on the use of control variables
      • The quality of a survey rests on the randomization strategy
        • Note that the common problems with surveys are survivor bias; the fact that they capture a snapshot rather than a trend; they provide only an indirect view of behaviour; and they have the potential for dishonesty from recipients. Useful remedies include posing questions in hypothetical situations, and a recognition/discussion that you are establishing upper or lower bounds (for more on the use of surveys in hostile contexts see Frye, 2017, p. 33-35)
    • Qualitative – these are descriptive accounts that value an interpretive approach
    • Mixed methods – i.e. combinations of both quantitative and qualitative research methods
    • Hybrid methods – e.g. the comparative method (QCA). (See here for an introduction to the comparative method).

We can consider a research report to be a different type of thesis, with more emphasis on explaining a novel topic and establishing some general insights that are relevant to managers, and less emphasis on original research.

Perhaps the key ingredient to a successful thesis is to demonstrate competent project planning.

This is crucial because it determines whether the experience is enjoyable or not. The following are necessary (but not sufficient) characteristics you need to have:

  • Enthusiasm for the research question (and not just the research topic)
  • Genuine desire to have people read your work
  • Ability to self-motivate
  • Swift communication

I will either provide you with detailed feedback on a full draft, or brief feedback on specific questions, but you should not expect me to provide multiple rounds of comments throughout the process. Depending on how many students I supervise in any given year, I intend to provide a similar amount of help to each and will be unable to devote significant time to your project close to the deadline. 

When planning the writing of the thesis take a look at:

This is also useful: Baylor University research planner guide.

For advice on writing see Barry Weingast’s ‘Caltech Rules for Writing Papers‘ and Mike Munger’s “3 simple rules for good writing:

If you get to present your work, here’s a good guide for creating a poster (and here). Don’t forget to include a clear plastic wallet with printed copies, and one for business cards.

Grading

Here is the way in which I judge academic articles and conference presentations. It contains information relating to research articles; theses; the use of data; and sociology challenges: Research Assessment.

For more details on the grade ranges that I typically employ see page 7 of my guide for students, however you should adjust the passing grades such that what I deem to be a C grade for a thesis would get a mark of 12-14; a B is 14-16 and an A is 16+. These are only general guidelines and there’ll always be a gap between my judgement and your understanding of my judgment. But just because the grading is subjective does not make it arbitrary.

Finally, if you’re interested in a career in academic economics, here is advice on surviving grad school. And if you are a female student, do take a look at this “Women in Economics” video series.

Last updated: September 2023

Faculty Audits

Professional educators understand the limitations of student evaluations, and yet the culture of external assessment is attempting to incorporate a similar thirst for trivial feedback on our peer-review. As someone who enjoys sharing a classroom with colleagues, and is genuinely keen to share ideas on effective pedagogy, I wanted to outline a possible way to conduct teaching feedback. I will write it from the perspective of the instructor conducting the audit.

  1. Acquire the course outline and read it as closely as you expect students to read your outline.
  2. Meet with your colleague to discuss the audit. Get a good understanding of where the session you will be observing fits into the course as a whole. Make sure you’re aware of any specific areas that they would like feedback on.
  3. Attend the whole class. Arrive early and leave at the end. Alternate roles between being a student and an observer. It might be a good idea to talk to students about any specific questions you have, but even if you think this would be a good idea ensure that the person you are observing is ok with that.
  4. Write a letter to the person you observed, thanking them, and providing your reflections. If there are specific areas of weakness that you believe you’ve identified keep this document private. By all means copy in Programme Management (with prior agreement) but address it to your colleague.
  5. Take your colleague out to lunch, go over the feedback, and give them an opportunity to respond. Agree on what parts you should share with other colleagues, and external examiners. The written feedback it should be tailored to the specific course objectives that you’ve ascertained from step 1 and 2.

Here are 12 tips for peer observation:

Here is a copy of the feedback form I routinely give to students to assess my own performance:

Textbooks

mankiw

This is just a list of textbooks that I’ve taught from, and like:

Principles:

  • Mankiw, N.G., and Taylor, M. P., 2011, “Economics“, (Cengage Learning, 2nd edition)
  • Cowen, T. and Tabarrok, A., 2012, “Modern Principles of Economics” (Worth, 2nd edition)
  • Heyne, P., Boettke, P and Prychitko, D., 2013, “The Economic Way of Thinking” (Prentice-Hall, 13th edition)
  • Begg, D., Fischer, S., and Dornbusch, R., 2008, “Economics“, (McGraw Hill, 9th Edition)

Advanced:

Managerial:

Markets for Managers: A Case Method Seminar

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This proposed two-day seminar is aimed at junior faculty teaching on general management programs. It shows attendees how to teach using the case method, and provides content for market-focused courses. If satisfactory progress is made attendees will then become licensed to utilise the classroom material in their own courses, and have access to ongoing support and follow up workshops.


Schedule

Day 1

Introduction to participant-centred learning

  • 9:00am – 10:30am | Session 1: A negotiation exercise
    • Malhotra, Deepak, “Hamilton Real Estate”, Harvard Business School Case Nos. 9-905-052 and 9-905-053
  • 11:00am – 12:30pm | Session 2: A classroom simulation
    • Holt, Charles A., and Sherman, R., (1999) “A Market for Lemons”, Journal of Economic Perspectives

The Case Method

  • 2:00pm – 3:30pm | Session 3: Competitiveness
    • Sölvell, Ö and Porter, M,  ”Finland and Nokia”, Harvard Business School case no. 9‐702‐427
  • 4:00pm – 5:30pm | Session 4: Public Finance
    • “Rovna Dan: The Flat Tax in Slovakia”, Harvard Business School case no. 9-707-043, March 2010

Day 2

Create your own teaching notes

  • 9:00am – 10:30am | Session 5: Prediction markets
    • Coles, Peter, Lakhani, Karim and McAfee, Andrew, “Prediction Markets at Google” Harvard Business School Case No. 9-607-088, August 20, 2007
  • 11:00am – 12:30pm | Session 6: Market-Based Management (R)
    • Weston, Hilary A., “Automation Consulting Services”, Harvard Business School Case No. 9-190-053, November 2000

Create your own cases

  • 2:00pm – 3:30pm | Session 7: La Marmotte
    • Evans, Anthony J., La Marmotte, January 2012
  • 4:00pm – 5:30pm | Session 8: Workshop 

Date: TBD

Location: TBD

 


Resources

Please get in touch if you would like further information.

Collecting and Presenting Data

This article intends to walk through a process for collecting and presenting data. It will include some basic commands in Excel and Powerpoint. The slide deck below provides a step-by-step guide. You should follow it in order to complete the set tasks.

You will need the following to get started:

Tasks

1. Replicate the following PDF file (but without the patterned fill): “aje_data_chart.pdf

2. Replicate the following PNG image (but without the patterned fill):

  • Download “aje_data_2.xlsx
  • Email me for the solution: “aje_data_3.xlsx”

Resources on data visualisation:

Some examples of good data visualisation:

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The Economist is renowned for good data visualisations. Here is their advert for data journalists, demonstrating their expertise.


This is part of my online course on Analytics.