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Optimal Transport Notebooks

Linear programming

  • A crash course in Linear Programming

  • Stigler's diet: Optimal nutrition

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Optimal assignment

  • Introduction to Optimal Transport

  • Optimal Assignment problem

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Regularized optimal transport

  • Entropic regularization

  • Gradient Descent

  • IPFP/Sinkhorn

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Characteristics model

  • The pure characteristics model

  • BLP random coefficient model

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Network flow problems

  • Network Topology

  • Min-cost flow problem

  • The shortest-path problem

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One dimensional transport

  • Copulas and comonotonicity

  • Positive assortative matching

  • The wage equation

Commercial Buildings

Random utility models

  • EMax operator

  • Daly-Sachary-Williams theorem

  • The MEV class

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Matching estimation

  • The Choo and Siow model

  • The marriage market

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Dynamic programming

  • A crash course in Dynamic Programming

  • Markov processes

  • Algorithms for DP

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Semi-discrete OT

  • Semi-Discrete Optimal Transport

  • Voronoi Tesselations

  • Aurenhammer's method

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Discrete choice estimation

  • Estimation with and without observable heterogeneity

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Gravity equation

  • The gravity equation

  • Predicting trade flows

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In order to execute the code from your browser, you may try the MyBinder version of the notebooks here. (Setting up the online notebook may take a few minutes.)

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