lbittarello

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plateau
Flat files, flat land.
Language:Python23 5 218
CovarianceMatrices.jl
Heteroskedasticity and Autocorrelation Consistent Covariance Matrix Estimation for Julia.
Language:Julia53 4 259
StatsBase.jl
Basic statistics for Julia
Language:Julia582 30 443191
StatsModels.jl
Specifying, fitting, and evaluating statistical models in Julia
Language:Julia248 8 15129
Microeconometrics.jl
Microeconometric estimation in Julia
Language:Julia30 3 611
pre-commit
A framework for managing and maintaining multi-language pre-commit hooks.
Language:Python12.7k 87 2k793
glum
High performance Python GLMs with all the features!
Language:Python297 14 30224
tabmat
Efficient matrix representations for working with tabular data
Language:Python108 14 844
scikit-learn
scikit-learn: machine learning in Python
Language:Python59.4k 2.1k 11.1k25.2k
DIA-toolkit
This repository contains all the program codes developed in the "Distributional Impact Analysis: Toolkit and Illustrations of Impacts Beyond the Average Treatment Effect" by Guadalupe Bedoya (World Bank), Luca Bittarello (Northwestern University), Jonathan Davis (University of Chicago), and Nikolas Mittag (CERGE-EI).
Language:Stata12 11 013

lbittarello/Microeconometrics.jl
Microeconometric estimation in Julia
Language:Julia30 3 611