Pinned Repositories
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)
pparkyong's Repositories
pparkyong/6S083
Materials for MIT 6.S083 / 18.S190: Computational thinking with Julia + application to the COVID-19 pandemic
pparkyong/adv-r
Advanced R programming: a book
pparkyong/applied-methods-phd
Repo for Yale Applied Empirical Methods PHD Course
pparkyong/bartik-weight
pparkyong/beamer-tips
pparkyong/ce-fortran
The Program and Compiler Database that accompanies the book "Introduction to Computational Economcis using Fortran"
pparkyong/Comparison-Programming-Languages-Economics
A Comparison of Programming Languages in Economics
pparkyong/CompEcon2020
Computational Economics Course 2020 by Kenneth Judd
pparkyong/Data-Research-Publications
Datasets for my research publications
pparkyong/DScourseS21
ECON 5253: Data Science for Economists, University of Oklahoma (Spring 2021)
pparkyong/econ-21100
UChicago econ-21100 course
pparkyong/econ5170
Econ5170@CUHK: Computational Methods in Economics (2020 Spring).
pparkyong/ECON622_2019
pparkyong/ECON628_2018
pparkyong/empirical-methods
This is a 2nd Year PhD Course In Empirical Methods for Applied Micro
pparkyong/fall-2020
pparkyong/IntroProg2018
Course taught in the MSc in Economics first year, Sciences Po, Spring 2018.
pparkyong/IP2019
pparkyong/julia-bootcamp-2022
pparkyong/mec_optim_2019-01
Jan 2019 edition of the "math+econ+code masterclass on optimization in economics: optimal transport, demand models, matching models"
pparkyong/Methods
Notes and Codes for Computational Methods in Econ
pparkyong/microeconometrics2018s
pparkyong/mixtape_learnr
pparkyong/RStudioConf2019Slides
Links to slides for rstudio::conf 2019
pparkyong/smltar
Manuscript of the book "Supervised Machine Learning for Text Analysis in R" by Emil Hvitfeldt and Julia Silge
pparkyong/spring-2020
Spring 2020 AEM 7130: Dynamic Optimization/Computational Methods
pparkyong/stat_rethinking_2020
Statistical Rethinking Course Winter 2020/2021
pparkyong/synthdid
Synthetic difference in differences
pparkyong/tidyexplain
Animations of tidyverse verbs using R, the tidyverse, and gganimate
pparkyong/WageReturnsJOLE
Data and replication files for Ashworth, Hotz, Maurel and Ransom's article in Journal of Labor Economics