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Before you arrive

Ensuring a smooth and enjoyable start

Before you start at Warwick, there are a few steps that you should complete to ensure your transition into the Department is as smooth and enjoyable as possible.

Enrolment

You will receive an email from the enrolment team 4-6 weeks before your course start date, or within a few days of you accepting your unconditional offer if this is later, asking you to complete online enrolment. Please do not try to complete Course Registration until you have received this email.

Once you have completed online enrolment you will receive an email with instructions of any further actions required before your enrolment can be completed or to simply confirm your enrolment has been completed.

ID cards

Your Warwick ID Card will be issued on arrival at Warwick. If you have on-campus accommodation then your ID card will be paired with your on-campus room keys. If you have off-campus accommodation then your ID card can be collected from Rootes Building during your in-person enrolment event. Find out more about Warwick ID Card Collection.

IT Preparation

We would like to encourage you to look at the IT guides for using academic technology before starting your course.

Student Bank Details

All new students will need to enter their UK bank account details online to receive their monthly stipend. Students need to be enrolled before they can upload their bank account information. Please also see this webpage for separate information regarding opening a UK bank account from abroad. Please click hereLink opens in a new window for guidance to update your bank details once you have enrolled online.

International Student Success

All new international students are encouraged to complete this "International Student SuccessLink opens in a new window" online course before travelling to the UK. We recommend that you complete the course in August.

Course Preparation

Before you arrive at Warwick you may be interested in looking over some of the material which will be taught in the core modules in year one of the programme. An illustrative bibliography for each of the three core modules studied in year one is given below.

You may find this useful in preparation for the start of your programme:

EC9A1 Advanced Microeconomic Analysis

  • G.A. Jehle and P.J.Reny, Advanced Microeconomic Theory, Prentice Hall, 2011

  • A. Mas-Colell, M.D. Whinston, J.R. Green, Micro-Economic Theory, Oxford University Press, USA, 1995

  • D.Fudenberg, J. Tirole, Game Theory, MIT Press, 1991

  • T. Bewley, General Equilibrium, Overlapping Generations Models and Optimal Economic Growth, Harvard University Press, 2007

  • S. Tadelis, Game Theory: An Introduction, Princeton University Press, 2013

EC9A2 Advanced Macroeconomic Analysis

  • Recursive Macroeconomic Theory, Fourth Edition, by Lars Ljungqvist and Thomas J. Sargent, 9780262038669, Published: September 11, 2018, Publisher: The MIT Press. [ Chapters 1-2-3-4-7-8-10-12-17-18]
  • Dixit, Robert K. and Robert S. Pindyck (1994). Investment under Uncertainty
  • Advanced Macroeconomics, Fifth Edition, by David Romer [chapters 5 and 8]
  • Adda and Cooper (2003), Dynamic Economics, MIT Press [Chapter 2]
  • Christopher Pissarides (2000). Equilibrium Unemployment Theory, 2nd edition. Cambridge: MIT Press (chapters 1 and 2)
  • D. N. Weil, Economic Growth, Pearson, 2004
  • E. Helpman, The Mystery of Economic Growth, Harvard University Press, 2010

EC9A3 Advanced Econometric Theory

Term 1:

  • Bierens. Introduction to the Mathematical and Statistical Foundations of Econometrics. Cambridge University Press, 2004.
  • Capinski and E. Kopp. Measure, Integral and Probability. Springer, 2005.
  • Casella and R.L. Berger. Statistical Inference. Duxbury, 2002.
  • Gourieroux and A. Monfort. Statistics and Econometric Models. Cambridge University Press, Vol 1 and 2, 2008.
  • Hong. Probability and Statistics for Economists. World Scientific, 2018.
  • Jacod and P. Protter. Probability Essentials. Springer, 2004.
  • Li and G.J. Babu. A Graduate Course on Statistical Inference. Springer, 2019.
  • Stachurski. A Primer in Econometric Theory. MIT Press, 2016.

Term 2:

  • F. Hayashi. Econometrics. Princeton University Press, 2000.
  • J. M. Wooldridge. Econometric analysis of cross section and panel data. MIT press, 2010.
  • B.H. Baltagi. Econometric analysis of panel data. John Wiley & Sons, 2005.
  • M. Arellano. Panel Data Econometrics, Advanced Texts in Econometrics. Oxford University Press, 2003.
  • G. W. Imbens and D. B. Rubin. Causal Inference for Statistics, Social, and Biomedical Sciences. Cambridge University Press, 2015.
  • J. D. Angrist and J-S. Pischke. Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press, 2009.
  • M. A. HernĂ¡n and J. M. Robins. Causal Inference: What If. Boca Raton: Chapman & Hall/CRC, 2020.