Varun Agrawal's repositories
applied-methods-phd
Repo for Yale Applied Empirical Methods PHD Course
da_case_studies
Codes for case studies for the Bekes-Kezdi Data Analysis textbook
stata-visual-library
Inspiration and code for data visualizatio in Stata, created and maintained by DIME Analytics.
ietoolkit
Stata commands designed for Impact Evaluations in particular, but also data work in general
StataEditor
Stata Editor for Sublime Text 3
Python_guide
Python instructions for research projects
iefieldkit
Stata commands designed for Impact Evaluations field work. These are tools that are used during/after a survey in the field for data quality monitoring.
dime-github-trainings
Training materials and other GitHub related information developed by DIME Analytics
dime-r-training
Dime Analytics R Training
stata
Stata Commands for Data Management and Analysis
bpp-india
Billion Prices Project India
lectures
Lecture notes for EC 607
summer_course_2019
QuantEcon-RSE Intensive Course on Computational Modeling
R4Econ
R Code Examples Panel Data Economics
mathematical-python
Introduction to Mathematical Computing with Python and Jupyter
r4ds-exercise-solutions
Exercise solutions to "R for Data Science"
Stata4Econ
Reusable Stata Code from Various Projects
MITx-6.00.1x
Coding exercises and Problem Sets for MITx: 6.00.1x Introduction to Computer Science and Programming Using Python, EdX, Aug-Nov 2016
comp-econ-sp19
Main Course Repository for Computational Methods in Economics (Econ 21410, Spring 2019)
DScourseS19
ECON 5253: Data Science for Economists, University of Oklahoma (Spring 2019)
BootCamp2019
Repository of syllabi, lecture notes, Jupyter notebooks, code, and problem sets for OSE Lab Boot Camp 2019
DIME-Resources
Repo for all the DIME Analytics/DIME resources like trainings and all.
QuantEcon.py
A community based Python library for quantitative economics
EconometricsLabs
Collection of in-class labs in R for introductory econometrics class
jrvFinance
R package for financial present value functions and option pricing
6.431x
Probability - The Science of Uncertainty and Data
Microsoft_DAT210x
Datasets and solutions for the Programming Assignments for the Microsoft DAT210X course, EdX, July-August 2016.