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Name: Jui Sen
Type: User
Company: Washington state university
Bio: Ph.D. in Economics. Skills: Python, MySQL, Latex, ArcGIS, Google Earth Engine. Certification: PCEP Certified (Python Institute).
Name: Jui Sen
Type: User
Company: Washington state university
Bio: Ph.D. in Economics. Skills: Python, MySQL, Latex, ArcGIS, Google Earth Engine. Certification: PCEP Certified (Python Institute).
:exclamation: This is a read-only mirror of the CRAN R package repository. bacondecomp — Goodman-Bacon Decomposition
Published originally in 1978, in a paper titled `Hedonic prices and the demand for clean air’, this data set contains the data collected by the U.S Census Service for housing in Boston, Massachusetts. It was collected for a study that aimed at ascertaining if the availability of clean air influenced the value of houses in Boston. With only 506 rows and 14 columns, this is a small data set that seeks the discovery of ideal explanatory variables. It is very popular in pattern recognition literature and serves as a regression analysis problem. Objective: Predict the median value of occupied homes.
Code for ICLR 2020 paper: "Estimating counterfactual treatment outcomes over time through adversarially balanced representations" by I. Bica, A. M. Alaa, J. Jordon, M. van der Schaar
Cracking the Coding Interview 6th Ed. Python Solutions
Tools to estimate difference-in-differences models with leads and lags in R
Difference in Differences with Multiple Periods and Variation in Treatment Timing
Keeping track of what is going on with the latest DiD innovations.
Double Machine Learning for Multiple Treatments
DoubleML - Double Machine Learning in Python
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
This repository contains the code that creates the dashboards references in the “Econometrics Sandbox” blogpost series publish in the Development Impact blog (https://blogs.worldbank.org/impactevaluations)
A simple repo for conducting event study in finance
Event Study package is an open-source python project created to facilitate the computation of financial event study analysis.
R package and guide for performing event studies with heterogeneous dynamic effects.
Quick example of using linear regression for real estate valuation
Multivariate Linear Regression
Training the Helsinki region apartment databse via hedonic regression and neural network model
House Price Indexes in R
Statistics for Data Science with Python
Repo for the first course of the Applied Data Science with Python Specialization taught by University of Michigan hosted by Coursera
Data and Program files for Causal Inference: The Mixtape
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.