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Focusing
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@Stellenbosch-Econometrics @Stellenbosch-Computational-Economics @DynareJulia

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DawievLill/README.md

๐Ÿ‘‹ Hi there, my name is Dawie van Lill

Here are some things to know about me

  • ๐Ÿ”ญ Iโ€™m currently working on topics related to economic inequality with application to South Africa.
  • ๐Ÿ”ญ Iโ€™m also working on models that integrate financial frictions into a dynamic general equilibrium setting.
  • โšก Fun fact: You pronounce my name Dah-Vee Fun Lill.

Here are some of the things I am currently learning more about

  • Programming. Primarily in Julia, Python and R.
  • Computational methods for dynamic general equilibrium models.
  • Functional analysis and measure theory.
  • Deep learning and scientific machine learning.

You are free to use the code for my courses in any way you wish. I have borrowed from so many people that I feel it is only fitting to make things freely available. Most of the notes are a work in progress. I try to learn as I put notes together, so there might be mistakes.

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  1. Stellenbosch-Econometrics/AdvancedTimeSeries-872 Stellenbosch-Econometrics/AdvancedTimeSeries-872 Public

    Bayesian methods for time series analysis with code in Julia

    HTML 14 14

  2. DataScience-871 DataScience-871 Public

    Data science module for economists written mostly in Julia and R

    HTML 27 17

  3. Macro-318 Macro-318 Public

    Julia code for an upper level undergraduate macroeconomics course.

    HTML 10 6

  4. CompEconNotes CompEconNotes Public

    Notes and Julia code for computational economics reading group

    Julia 15 8

  5. CompEconFoundations CompEconFoundations Public

    Julia replications of Foundations of Computational Economics

    Julia 7 3

  6. Dynare.jl Dynare.jl Public

    Forked from DynareJulia/Dynare.jl

    A Julia rewrite of Dynare: solving, simulating and estimating DSGE models.

    Julia 1