pparkyong Goto Github PK

6s083

Materials for MIT 6.S083 / 18.S190: Computational thinking with Julia + application to the COVID-19 pandemic

adv-r

Advanced R programming: a book

applied-methods-phd

Repo for Yale Applied Empirical Methods PHD Course

bartik-weight

beamer-tips

ce-fortran

The Program and Compiler Database that accompanies the book "Introduction to Computational Economcis using Fortran"

comparison-programming-languages-economics

A Comparison of Programming Languages in Economics

compecon2020

Computational Economics Course 2020 by Kenneth Judd

data-research-publications

Datasets for my research publications

dscourses21

ECON 5253: Data Science for Economists, University of Oklahoma (Spring 2021)

econ-21100

UChicago econ-21100 course

econ-34430

Resources associated with econ course 34430

econ5170

Econ5170@CUHK: Computational Methods in Economics (2020 Spring).

econ622_2019

econ628_2018

empirical-methods

This is a 2nd Year PhD Course In Empirical Methods for Applied Micro

fall-2020

introprog2018

Course taught in the MSc in Economics first year, Sciences Po, Spring 2018.

ip2019

julia-bootcamp-2022

mec_optim_2019-01

Jan 2019 edition of the "math+econ+code masterclass on optimization in economics: optimal transport, demand models, matching models"

methods

Notes and Codes for Computational Methods in Econ

microeconometrics2018s

mixtape_learnr

parkyh

homepag

parkyh.github.io

quantecon.jl

Julia implementation of QuantEcon routines

rstudioconf2019slides

Links to slides for rstudio::conf 2019

smltar

Manuscript of the book "Supervised Machine Learning for Text Analysis in R" by Emil Hvitfeldt and Julia Silge

spring-2020

Spring 2020 AEM 7130: Dynamic Optimization/Computational Methods