Carlos Mendez's repositories
datavizs22.classes.andrewheiss.com
Data Visualization course 2022 from Andrew Heiss
DID_Handbook
This repository summarizes the traditional and recently proposed estimators in the difference-in-differences research design.
github-slideshow
A robot powered training repository :robot:
Advanced-DID
Advanced Differnce-in-Differences Mixtape Track taught by Jonathan Roth
Advanced_Macroeconomics
Advanced Macroeconomics, a course taught at the University of Warsaw
bookdown-crc
A minimal example of using bookdown to write a book for Chapman & Hall/CRC
bsreg
Fit Bayesian models with a focus on spillover effects. Implements linear specifications (with or without shrinkage), allows for spatial lags of the dependent, explanatories, and error term, parameterised connectivity, and stochastic volatility.
Causal-Inference-1
Causal Inference 1 Mixtape Session taught by Scott Cunningham
Causal-Inference-2
Causal Inference II Mixtape Session taught by Scott Cunningham
da_case_studies
Case studies of the gabors book
gds_book_20211211
This book serves as an introduction to a whole new way of thinking systematically about geographic data, using geographical analysis and computation to unlock new insights hidden within data.
hugo-website-gsid30
hugo-website-gsid30
JFE_DID
This repo contains the code to replicate the analyses in Baker, Larcker, Wang.
julia-intro-DataScience
Data Science in Julia course for JuliaAcademy.com, taught by Huda Nassar
julia-quantitative-economics
Download Notebooks for julia.quantecon.org
Julia_Geospatial
Examples for a blog series on Geospatial Julia using ArchGDAL
Machine-Learning-for-causal-inference1
Machine Learning for Causal Inference (1) taught by Brigham Frandsen in 2022
macro_data
Intro to working with macroeconomic data
mgwr
Multiscale Geographically Weighted Regression (MGWR)
open-geo-tutorial
Tutorial of fundamental remote sensing and GIS methodologies using open source software in python
pspatreg
Estimate geoadditive spatial or spatio-temporal econometric models
RTutor_CarbonTax
R tutor: Synthetic control application on the carbon tax of Sweeden
scatterfit18
scatterfit 1.8 Stata ado to create scatter plots with fit lines
scipy2019-intermediate-gds
This is the Intermediate Data Science Workshop for the 2019 Scientific Python conference in Austin, TX.
stata_kernel
A Jupyter kernel for Stata. Works with Windows, macOS, and Linux.
tobler
Spatial Econometrics web app made with R and Shiny
Try-Pandas
In this series, we're going to learn the fundamentals of the popular Python data science tool called Pandas.
worldstat
Stata module to produce a visualisation of the state of world development.