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Search results for causal inference econometrics
causal-inference
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econometrics
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23 search results found
Econml
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3,522
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
Python Causality Handbook
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2,265
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
Grf
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929
Generalized Random Forests
Doubleml For Py
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365
DoubleML - Double Machine Learning in Python
Causal Inference With Python
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328
Causal Inference for The Brave and True 책의 한국어 번역 자료입니다.
Causallift
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310
CausalLift: Python package for causality-based Uplift Modeling in real-world business
Causalinferenceintro
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273
Causal Inference for the Brave and True的中文翻译版。全部代码基于Python,适用于计量经济学、量化社会学、策略评估等领域。英文版 Facure
Doubleml For R
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88
DoubleML - Double Machine Learning in R
Differences
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65
difference-in-differences in Python
Causeinfer
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54
Machine learning based causal inference/uplift in Python
Dame Flame Python Package
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48
A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data
Pysynthdid
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40
Synthetic difference in differences for Python
Syntheticcontrolmethods
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35
A Python package for causal inference using Synthetic Controls
Pensynth
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29
A Penalized Synthetic Control Estimator for Disaggregated Data (JASA, 2021)
Diffindiffs.jl
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27
A suite of Julia packages for difference-in-differences
Causal Inference Mastery
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16
Notes and simulations on graduate level causal inference in statistics with applications to social sciences.
Causal Inference For Data Scientists
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15
Notebooks of Python and R code which illustrates basic causal inference using simulated data
Interactionweighteddids.jl
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13
Regression-based multi-period difference-in-differences with heterogenous treatment effects
Doubleml Serverless
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10
DoubleML-Serverless - Distributed Double Machine Learning with a Serverless Architecture
Rdd
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9
Python tools for regression discontinuity designs
Tesensitivity
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8
A Stata package for assessing sensitivity to the unconfoundedness assumption
Ivcrc
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6
A Stata module for an instrumental variables correlated random coefficients estimator.
Diffindiffsbase.jl
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6
Base package for DiffinDiffs.jl
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