yhzhang2022 Goto Github PK
Type: User
yhzhang2022's Projects
100-days-of-ml-code
100 Days of ML Coding
advanced-did
Advanced Differnce-in-Differences Mixtape Track
applied-methods-phd
Repo for Yale Applied Empirical Methods PHD Course
applied_metrics
A PhD course in Applied Econometrics and Panel Data
appliedeconometrics
Stata、计量经济学、DSGE
causal-inference
Causal Inference Mixtape Sessions
causal-ml
Must-read papers and resources related to causal inference and machine (deep) learning
causalbook
Replication code and downloadable example data sets for The Effect
causaldata
Packages of Example Data for The Effect
causalinferenceintro
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。英文版原作者：Matheus Facure
causalityslides
Slides for the Seattle University Causal Inference Class
causaltree
Working repository for Causal Tree and extensions
did
Difference in Differences with Multiple Periods and Variation in Treatment Timing
did_imputation
Event studies: robust and efficient estimation, testing, and plotting
difference-in-differences
Difference-in-Differences
ec142
Course materials for Ec142 (Applied Econometrics & Public Policy) at UC - Berkeley
ec240a
Course materials for Ec240a "Econometrics" at UC Berkeley.
ec421w20
Introduction to Econometrics at the University of Oregon (EC421) during Winter quarter, 20202. Taught by Ed Rubin
ec524w20
Masters-level applied econometrics course—focusing on prediction—at the University of Oregon (EC424/524 during Winter quarter, 2020 Taught by Ed Rubin
econometrics
Slides for the PhD level course in Econometrics at the Tinbergen Institute, Amsterdam
econometrics1
A Swirl course for introductory econometrics
econometricsslides
This is the repository for the slides used in the Seattle University Econometrics course
instrumental-variables
Instrumental Variables Mixtape Track
lectures
Lecture notes for EC 607
machine-learning-for-education-policies
Repository for the crash course on "Machine learning for education policies"
machine-learning-in-social-sciences
Repository for the crash course on "Machine learning in social sciences"
machine-learning-notes
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接
math4econ
Mathematics for Economists (Matlab Live Codes)
micro-metrics
This is a 2nd Year PhD Course In Micro-econometrics
mixtape
Data and Program files for Causal Inference: The Mixtape
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