hongseokimm Goto Github PK
Name: Hongseok Kim
Type: User
Bio: PhD student in Economics
Name: Hongseok Kim
Type: User
Bio: PhD student in Economics
Repository of syllabi, lecture notes, Jupyter notebooks, code, and problem sets for OSE Lab Boot Camp 2019
Empirical macro toolbox
Main Course Repository for Computational Methods in Economics (Econ 21410, Spring 2019)
Julia versions of the CompEcon routines by Miranda and Fackler.
Computational Economics Course 2020 by Kenneth Judd
PhD level course on advanved macro models dealing with agent heterogeneity.
Simplified code to solve the benchmark model in Achdou et al (2017) and the model with housing and a downpayment constraint
This course provides a graduate level introduction to probability and statistics. The course was designed for economists starting their doctoral education. Edits, comments, and suggestions are welcome.
Data Science in Julia course for JuliaAcademy.com, taught by Huda Nassar
Teaching materials from DSE2019 summer school at Chicago Booth
Course on Dynamic Stochastic General Equilibrium (DSGE): Models, Solution, Estimation (graduate level)
A collection of Dynare models
Dynare Summer School 2018 material
Causally oriented doctoral econometrics course at UO, taught by Ed Rubin
Econ5170@CUHK: Computational Methods in Economics (2020 Spring).
Materials for Empirical Methods for Applied Microeconomics PhD course.
:zzz: A utility tool powered by fzf for using git interactively.
R Companion to the textbook "Econometrics" by Fumio Hayashi
Personal Webpage
A tutorial on Julia DataFrames package
Simple life cycle model following Costa Dias and O'Dea
Microeconometric estimation in Julia
Code for the Spring 2022 heterogeneous-agent macro workshop
A repository for TA sessions of a Quantitative Macroeconomics PhD course at Bocconi University. Some non-related but neighboring material is included.
R package to easily build panel data sets from the PSID
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.