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'math+econ+code' masterclass on linear programming

and economic applications, part I

June 21-23, 2023

This intensive course, first part of the ‘math+econ+code’ series, is focused on linear programming and economic applications, and will include basics of linear programming (duality and the simplex algorithm), and applications to microeconomics (resource allocation) and to spatial economics (minimum-cost flows), to game theory (zero-sum games), and to econometrics. It will introduce tools from economics, mathematics, econometrics and computing, on a needs basis, without any particular prerequisite other than the equivalent of a first year graduate sequence in econ or in applied math.
Because it aims at providing a bridge between theory and practice, the teaching format is somewhat unusual: each teaching “block” will be made of a mix of theory and coding (in Python), based on an empirical application related to the theory just seen. Students will have the opportunity to write their own code, which is expected to be operational at the end of each block. This course is therefore closer to cooking lessons than to traditional lectures.


Practical information

  • The course will be taught over three consecutive days, Jun 20-22 2023, 9am-11am NY time, 3pm-5pm Paris time.

  • The instructor is Alfred Galichon (professor of economics and of mathematics at NYU and principal investigator of the ERC-funded project 'equiprice' at Sciences Po). 

  • The Graduate Assistant for this masterclass will be Maxime Sylvestre, from Université Paris Dauphine-PSL

  • Applications are now closed

Course outline

Day 1: intro + the simplex

Introduction to linear programming:

  • Duality

  • Computation

  • Stigler's diet problem


The simplex:

  • Basic variables

  • Pivoting

  • Transportation simplex

Day 2: Zero-sum games 

  • Minimax theory

  • LP formulation of zero-sum games

Day 3: Min-cost flow problems

  • Networks flow problems​

  • Equilibrium interpretation

  • Shortest path problem

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