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Type: User
Bio: Marketing PhD Student
Type: User
Bio: Marketing PhD Student
Repo for Yale Applied Empirical Methods PHD Course
A PhD course in Applied Econometrics and Panel Data
Beamer Tips Paul GP
BLP-Python provides an implementation of random coefficient logit model of Berry, Levinsohn and Pakes (1995)
Working repository for Causal Tree and extensions
NMA Computational Neuroscience course
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
A repository of data on coronavirus cases and deaths in the U.S.
Code to reproduce simulations and plots for "Time-uniform, nonparametric, nonasymptotic confidence sequences"
Python version of fixed effects counterfactual estimators
Fast Stata commands for large datasets
Graduate Empirical Industrial Organization
Generalized Synthetic Control Method
Notes and exercise attempts for "An Introduction to Statistical Learning"
Run IV/2SLS with many levels of fixed effects (i.e. ivreg2+reghdfe)
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Recreation of the "Optimal Replacement of GMC Bus Engines" paper by J. Rust, describing a single-agent dynamic optimization model.
An R project for numerical solution of the Kiefer-Weiss problem
Python utilities for working with Kilts-Nielsen files
Full reference of LinkedIn answers 2023 for skill assessments (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, Go, python, machine-learning, power-point) linkedin excel test lösungen, linkedin machine learning test LinkedIn test questions and answers
MECO7312 Advanced Statistics and Probability
This is a 2nd Year PhD Course In Micro-econometrics
Package for mixture sequential probability ratio test
BLP Demand Estimation with Python
Linear, IV and GMM Regressions With Any Number of Fixed Effects
Replication of main results in Rust (1987)
Simulation files for Schultzberg & Ankargren blogpost 2023
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
a simple example for estimating the causal effects of spatial treatments, following Pollmann (2021)
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.