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Advanced Differnce-in-Differences Mixtape Track
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
This repo includes the code for running some of the seminal papers on organizational learning under uncertainty
Causal Inference Mixtape Sessions
Causal Inference 1 Mixtape Session taught by Scott Cunningham
Causal Inference II Mixtape Session taught by Scott Cunningham
Causal Inference 3 Mixtape Session taught by Scott Cunningham
Replication code and downloadable example data sets for The Effect
Slides for the Seattle University Causal Inference Class
Difference-in-Differences
Doing Applied Economics Research Mixtape Track taught by Mark Anderson and Daniel Rees
This is the repository for the slides used in the Seattle University Econometrics course
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.
This is the recreation of the Cohen, March and Olsen (1972) Garbage Can Model or organizational decision making
Instrumental Variables Mixtape Track
Machine Learning and Causal Inference taught by Brigham Frandsen
This is a reproduction of the March 1991 computational model of exploration and exploitation in organizational learning. The code has been reproduced in R, using the information from the paper.
This is a recreation of March's 1991 model of exploration and exploitation (in Python 3)
Code Repository for MS20190155
Mesa is an open-source Python library for agent-based modeling, ideal for simulating complex systems and exploring emergent behaviors.
Text and supporting code for Modeling and Simulation in Python
Description This repo includes the code for running some of the seminal papers on organizational learning under complexity
Contains simple building blocks for NK modeling
Regression Discontinuity Mixtape Track taught by Rocio Titiunik
https://github.com/jcgcarranza/respol_patents_code
Regression and other stories R examples
Synthetic-Control-and-Clustering taught by Alberto Abadie
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.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.