[인과추론 테크 회사 리포트/리서치 논문 모음 (링크)

 

인과 추론 공부를 하면서 주제나 키워드에 따라서 논문이나 테크 리포트의 링크를 정리하고 있다. 테크 블로그들을 정리하는 월마트 데이터 과학자 (Leihua Ye) 분의 미디엄이나 링크딘에 관련 링크들이 많이 수록되어 있다. 보다 정교한 분석은 주로 리서치 논문들에 있는 것 같다. PAP 에서 스터디하면서 찾아보니 RD (Regression Discontinuity, 회귀불연속) 관련 내용이 가장 적고, 그 다음이 IV (Instrument Variable, 도구변수)인 것 같다. 

 

 

Tech Reports

 

Quasi-Experimentation In the Industry

• Link: https://leihua-ye.medium.com/list/quasiexperimentation-in-the-industry-241b8b26cd5a
• 테크 회사의 분석 관련 직종의 저자들의 Causal Inference 적용한 글들 11가지.

 

그 외 정리

 

회사명	제목	주제/키워드	링크
Airbnb	Experimentation & Measurement for Search Engine Optimization	DiD	https://medium.com/airbnb-engineering/experimentation-measurement-for-search-engine-optimization-b64136629760
Twitch	Two-Stage Least Squares For A/B Tests	IV	https://blog.twitch.tv/en/2017/06/30/two-stage-least-squares-for-a-b-tests-669d07f904f7/
Coursera	Instrumental Variables & Randomized Encouragement Trials: Driving Engagement of Learners	IV	https://medium.com/coursera-engineering/instrumental-variables-randomized-encouragement-trials-driving-engagement-of-learners-621215e9e3f1
AirBnb	How Airbnb Measures Future Value to Standardize Tradeoffs	PSM	https://medium.com/airbnb-engineering/how-airbnb-measures-future-value-to-standardize-tradeoffs-3aa99a941ba5

 

Research Papers

• 테크 회사들의 데이터를 사용한 리서치 논문.
• 테크 회사에서 직접 발간한 research paper, 학계 연구자들의 논문, 또는 공동연구.

 

회사명	제목	주제/키워드	링크
FaceBook	Peer Effects in Product Adoption	IV	https://research.facebook.com/publications/peer-effects-in-product-adoption/
Uber	Using Big Data to Estimate Consumer Surplus: The Case of Uber	RD	https://www.nber.org/papers/w22627
AirBnB	Can an AI Algorithm Mitigate Racial Economic Inequality? An Analysis in the Context of Airbnb	DiD	https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3770371
AirBnB	What Makes a Good Image? Airbnb Demand Analytics Leveraging Interpretable Image Features	DiD	https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2976021
Uber	Toward An Understanding of the Economics of Apologies: Evidence from a Large-Scale Natural Field Experiment	Experiment	https://www.basilhalperin.com/papers/apologies.pdf
Uber	Design and Analysis of Cluster-Randomized Field Experiments in Panel Data Settings	Experiment	https://www.nber.org/system/files/working_papers/w26389/w26389.pdf
AirBnb	Reducing Interference Bias in Online Marketplace Pricing Experiments	Experiment, SUTVA violation	https://www.dropbox.com/s/dmzjbym96c3ltrp/Holtz_Online_Marketplace_Pricing.pdf?dl=0
Spotify	Changing Their Tune: How Consumers’ Adoption of Online Streaming Affects Music Consumption and Discovery	PSM	https://pubsonline.informs.org/doi/abs/10.1287/mksc.2017.1051
Spotify	The Engagement-Diversity Connection: Evidence from a Field Experiment on Spotify	Experiment	https://www.dropbox.com/s/9518bzkaeswji0z/Holtz_Spotify_Podcast_Recs.pdf?dl=0
Google	Learning to Rank with Selection Bias in Personal Search	IPW (PSM), Experiment	https://dl.acm.org/doi/pdf/10.1145/2911451.2911537
Google	Attribute-based Propensity for Unbiased Learning in Recommender Systems: Algorithm and Case Studies	IPW (PSM), Experiment	https://dl.acm.org/doi/pdf/10.1145/3394486.3403285
Google	Evaluating Online Ad Campaigns in a Pipeline: Causal Models At Scale	PSM	https://storage.googleapis.com/pub-tools-public-publication-data/pdf/36552.pdf