josempazymino Goto Github PK
Name: Jose Manuel Paz y Mino
Type: User
Company: Universidad de Chile
Name: Jose Manuel Paz y Mino
Type: User
Company: Universidad de Chile
100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)
:exclamation: This is a read-only mirror of the CRAN R package repository. antitrust — Tools for Antitrust Practitioners
Repo for Yale Applied Empirical Methods PHD Course
R explorations of Berry's 1994 model of demand estimation in differentiated product markets
Python BLP code (Berry Levinsohn Pakes)
estimate BLP demand model in Matlab using state-of-the-art techniques
Python code for BLP (Berry, Levinsohn and Pakes) method of structural demand estimation using the random-coefficients logit model. Code for estimation of demand and supply-side moment jointly is also provided.
BLP-Python provides an implementation of random coefficient logit model of Berry, Levinsohn and Pakes (1995)
R code for causal graph animations
A general package for discrete choice model estimation and simulation, covering basic Multinomial Logit and various generalizations.
A Comparison of Programming Languages in Economics
Data for my paper on the game theory of successful cartels
Intento de armar un handbook para centralizar información e iniciativas sobre el COVID-19
Cython interface for the GNU Scientific Library (GSL).
IO style demand estimation with R
A collection of templates for economics projects using programs in various languages (Stata, Matlab, Python, R, Perl, ...), tied together by Waf.
Slides for A Primer in Econometric Theory
Code and notebooks for Econometric Theory
Example code for the book Fluent Python
GPU + OpenCL Value Function Iteration for Macro Models
Graduate Empirical Industrial Organization
R Companion to the textbook "Econometrics" by Fumio Hayashi
Class materials for "Economics, Causality, and Analytics"
Recreation of the "Optimal Replacement of GMC Bus Engines" paper by J. Rust, describing a single-agent dynamic optimization model.
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Parallel programming with Python
Jupyter Notebook for PyData DC 2016 on "Making Your Code Faster: Cython and parallel processing in the Jupyter Notebook"
Examples on how to use Fortran and C++ mex files with Matlab
Replication of tables and figures from "Mostly Harmless Econometrics" in Stata, R, Python and Julia.
The code for the paper "Constrained Optimization Approaches To Estimation Of Structural Models: Comment" by Iskhakov, Lee, Rust, Schjerning and Seo. Econometrica, 2015.
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.