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, 9^th Edition)

Advanced:

• Schotter, A., 2008, “Microeconomics: A Modern Approach” (Addison Wesley, International edition)
• Snowden, B., Vane, H., and Wynarczyk, P., 1994, “A Modern Guide to Macroeconomics“, (Elgar)
• Romer, D., 2011, “Advanced Macroeconomics” (McGraw Hill 4th edition)

Managerial:

• Froeb, L.M., McCann, B.T., Ward, M.R., and Shor, M., 2014, “Managerial Economics: A Problem Solving Approach” (Thomson South-Western, 3rd edition)
• Moss, D., 2014, “A Concise Guide to Macroeconomics: What Managers, Executives, and Students Need to Know” (Harvard Business School Press, 2nd edition)

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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.

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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 

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Date: TBD

Location: TBD

 

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Resources

Please get in touch if you would like further information.

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:

• Download “aje_template.potx“
• You can download handouts for these slides here: “aje_data.pdf“

Tasks

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

• Kaleidic Guide to Using the UK National Accounts
• Find the NGDP figures from the ONS website (here’s a stable link for our data)
• Email me for the solution: “aje_data_1.xlsx”

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:

• Not all graphs are straight lines by me
• Schwabish, J., 2014, “An Economist’s Guide to Visualizing Data” Journal of Economic Perspectives 28(1):209-234
• Why you sometimes need to break the rules in data viz by Rosamund Pearce
• Fundamentals of Data Visualization by Claus Wilke
• BBC Visual and Data Journalism cookbook for R graphics
• Data visualisation white paper by SAS – this is very thorough
• Graphics Principles Cheat Sheet
• ChartPorn.org
• Modern approaches to data visualisation
• Chart format guide (by Paul Bolton), House of Commons Library Standard Note, October 15th 2014
• How to improve your tables – less is more
• Mistakes, we’ve made a few

Some examples of good data visualisation:

• The fallen of WW2
• Think before you use a donut chart 
• 2016 Internet Trends, by Mary Meeker, KPCB
• This tweet by Brian Reyes

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

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This is part of my online course on Analytics.