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Name: Ángelo Gutiérrez-Daza
Type: User
Blog: gutierrez-daza.com
Name: Ángelo Gutiérrez-Daza
Type: User
Blog: gutierrez-daza.com
A PhD course in Applied Econometrics and Panel Data
Bayesian Macroeconometrics in R
Repository of syllabi, lecture notes, Jupyter notebooks, code, and problem sets for OSM Lab Boot Camp 2018
Repository of syllabi, lecture notes, Jupyter notebooks, code, and problem sets for OSE Lab Boot Camp 2019
Codes to accompany the paper "Matlab, Python, Julia: What to Choose in Economics?" by Chase Coleman, Spencer Lyon, Lilia Maliar, and Serguei Maliar
A Comparison of Programming Languages in Economics
CompEcon is a set of MATLAB functions for solving a variety of problems in economics and finance. The library functions include rootfinding and optimization solvers, a integrated set of routines for function approximation using polynomial, splines and other functional families, a set of numerical integration routines for general functions and for common probability distributions, general solvers for Ordinary Differential Equations (both initial and boundary value problems), routines for solving discrete and continuous time dynamic programming problems, and a general solver for financial derivatives (bonds, futures, options).
Julia versions of the CompEcon routines by Miranda and Fackler.
Matlab implementation of DC-EGM algorithm from Iskhakov, Jorgensen, Rust and Schjerning (QE, 2017)
Teaching materials from DSE2019 summer school at Chicago Booth
A collection of Dynare models
Solve semi-linear parabolic PDEs
Graduate Empirical Industrial Organization
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A tutorial on Julia DataFrames package
Notebook for running Julia on Google Colab
Lecture notes for EC 607
This is a 2nd Year PhD Course In Micro-econometrics
Repository for the Advanced Macroeconomics II course of Western University
Code to replicate the empirical results reported in "Random Discounted Expected Utility" by Jose Apesteguia, Miguel A. Ballester, and Ángelo Gutiérrez-Daza.
Interactive guide to Auclert, Bardóczy, Rognlie, and Straub (2019): "Using the Sequence-Space Jacobian to Solve and Estimate Heterogeneous-Agent Models".
StateSpaceModels.jl is a Julia package for time-series analysis using state-space models.
MACS 40200 (Winter 2019): Structural Estimation
🎓 无需编写任何代码即可轻松创建漂亮的学术网站 Easily create a beautiful academic résumé or educational website using Hugo and GitHub. No code.
A Matlab Toolkit for Macroeconomic Models using Value Function Iteration
Code and slides for RStudio webinars
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.