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Repo for Yale Applied Empirical Methods PHD Course
Clinical trial project build code
This repository provides code to help researchers collect information regarding securities class actions from Stanford Class Action Clearinghouse.
Introduction to Econometrics at the University of Oregon (EC421) during Spring quarter, 2020. Taught by Ed Rubin
Causally oriented doctoral econometrics course at UO, taught by Ed Rubin
Tools for the estimation of (structural) econometric models.
Predict Race and Ethnicity Based on the Sequence of Characters in a Name
Just another repository
IPO_CSR project
Short Course - Applied Machine Learning for Risk Management
Python module to extract articles from NexisUni and Factiva.
The mission of Orphadata is to provide the scientific community with a comprehensive, high-quality and freely-accessible dataset related to rare diseases and orphan drugs, in a reusable format. The dataset is a partial extraction of the data stored in Orphanet, which is also accessible at www.orpha.net for consultation purposes only. This freely-accessible dataset is available in seven languages (English, French, German, Italian, Portuguese, Spanish and Dutch). The inventory of rare disorders is also available in Polish and Czech.
US utility patent similarity data creation and analysis tools
A Python wrapper around redfin's unofficial API.
Code for measuring novelty in science using publication text
A mapping between SDCs M&A database and the gvkey's in Compustat
This repository houses my papers published in ICIS 2023. It involves extracting information from patent text, measuring its novelty, and quantifying its impact on a company's stock price.
Toolbox for the illustration of responsible structural estimation.
This repository provides the extended data(till 2019) following Kogan, L., Papanikolaou, D., Seru, A. and Stoffman, N., QJE 2017
This repository provides the replication code and data for Kogan, L., Papanikolaou, D., Seru, A. and Stoffman, N., QJE 2017.
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Match USPTO Trademark databases to CRSP, COMPUSTAT and CIQ
This is a python script that given input addresss in data.csv will retrieve data from zillow. It is also set up to determine how much work the house's interior needs by sending photos to a Google AutoML API for classification.
An R interface to the Zillow API
Tool to scrape Zillow and get a spreadsheet with important information that can be used to create pivot tables and draw other conclusions.
Web-scraper for obtaining property listings, prices and photos from zillow.com
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.