Pinned Repositories
Advanced-DID
Advanced Differnce-in-Differences Mixtape Track
AOM_web_scraping
A simple example of a Python script to scrape information of multiple websites - in this case of the names and affiliations of the participants to the Academy of Management Annual Meeting in 2014
bandits
This repo includes the code for running some of the seminal papers on organizational learning under uncertainty
Causal-Inference
Causal Inference Mixtape Sessions
Causal-Inference-1
Causal Inference 1 Mixtape Session taught by Scott Cunningham
Causal-Inference-2
Causal Inference II Mixtape Session taught by Scott Cunningham
Causal-Inference-3
Causal Inference 3 Mixtape Session taught by Scott Cunningham
causalbook
Replication code and downloadable example data sets for The Effect
CausalitySlides
Slides for the Seattle University Causal Inference Class
Difference-in-Differences
Difference-in-Differences
vyassreenivas's Repositories
vyassreenivas/Advanced-DID
Advanced Differnce-in-Differences Mixtape Track
vyassreenivas/bandits
This repo includes the code for running some of the seminal papers on organizational learning under uncertainty
vyassreenivas/Causal-Inference
Causal Inference Mixtape Sessions
vyassreenivas/Causal-Inference-1
Causal Inference 1 Mixtape Session taught by Scott Cunningham
vyassreenivas/Causal-Inference-2
Causal Inference II Mixtape Session taught by Scott Cunningham
vyassreenivas/Causal-Inference-3
Causal Inference 3 Mixtape Session taught by Scott Cunningham
vyassreenivas/causalbook
Replication code and downloadable example data sets for The Effect
vyassreenivas/CausalitySlides
Slides for the Seattle University Causal Inference Class
vyassreenivas/Difference-in-Differences
Difference-in-Differences
vyassreenivas/EconometricsSlides
This is the repository for the slides used in the Seattle University Econometrics course
vyassreenivas/FAHAChapter8
Code Used for the Chapter 8 Lecture of the Course Foundations and Applications of Humanities Analytics, offered through the Santa Fe Institute's Complexity Explorer platform and funded by the National Endowment for the Humanities.
vyassreenivas/Instrumental-Variables
Instrumental Variables Mixtape Track
vyassreenivas/Machine-Learning
Machine Learning and Causal Inference taught by Brigham Frandsen
vyassreenivas/Doing-Applied-Research
Doing Applied Economics Research Mixtape Track taught by Mark Anderson and Daniel Rees
vyassreenivas/LLM101n
LLM101n: Let's build a Storyteller
vyassreenivas/March_1991_Original
This is a recreation of March's 1991 model of exploration and exploitation (in Python 3)
vyassreenivas/Measuring-Corporate-Culture-Using-Machine-Learning
Code Repository for MS20190155
vyassreenivas/mesa
Mesa is an open-source Python library for agent-based modeling, ideal for simulating complex systems and exploring emergent behaviors.
vyassreenivas/Mesa-ABM-Tutorial
vyassreenivas/ModSimPy
Text and supporting code for Modeling and Simulation in Python
vyassreenivas/nk
Description This repo includes the code for running some of the seminal papers on organizational learning under complexity
vyassreenivas/NK-MODEL
vyassreenivas/NK_model
Contains simple building blocks for NK modeling
vyassreenivas/Regression-Discontinuity
Regression Discontinuity Mixtape Track taught by Rocio Titiunik
vyassreenivas/respol_patents_code
https://github.com/jcgcarranza/respol_patents_code
vyassreenivas/ROS-Examples
Regression and other stories R examples
vyassreenivas/smj_code
vyassreenivas/Synthetic-Control-and-Clustering
Synthetic-Control-and-Clustering taught by Alberto Abadie
vyassreenivas/text-analytics-with-python
Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.
vyassreenivas/Tutorial_Agent_Based_Models
A Tutorial for Agent Based Models in Python