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Table of Contents

• 📄 Articles - Articles exploring the intersection of these two fields

• 📋Academic Papers - Research papers by Economists/ Statisticians on ML and Economics

• 📺 Videos / Lectures - Lectures given by Economists on ML/ Data Science

• 👩 👨 Economists / Data Scientists - Economists working as Data Scientists in Industry and Academia

• 🎓 Program / Courses - Syllabus and courses which are at the intersection of Data Science and Economics

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Articles 📄

Unfortunately many articles are behind paywall now, especially old Bloomberg ones.

Field Overview

• Breaking the Spell That Grips Economics Noah Smith - Bloomberg

• Economics Struggles to Cope With Reality Noah Smith - Bloomberg

• All of a Sudden, Economists Are Getting Real Jobs Noah Smith - Bloomberg

• Data Geeks Are Taking Over Economics Noah Smith - Bloomberg

• Theory Versus Data? You Shouldn't Have to Choose Noah Smith - Bloomberg

• Goodbye, Ivory Tower. Hello, Silicon Valley Candy Store Steve Lohr - NYT

• How Economics Went From Theory to Data Justin Fox - Bloomberg

• Quora Session with Susan Athey Susan Athey- Stanford GSB Prof.

• Economics Gets Real Noah Smith - Bloomberg

• Hunting for a Hot Job in High Tech? Try 'Digitization Economist Roberta Holland - Working Knowledge

• Uber’s secret weapon is its team of economists Alison Griswold - Quartz

• Why Uber Is an Economist’s Dream Stephen J. Dubner - Freakonomics

• Susan Athey Interview: Applying Machine Learning to the Economy Stanford GSB

• Sexy and Social Data Scientists Forbes Article

• Computer Science Is Coming for Economics Vishal Wilde

• Micro stars, macro effects Economist Article

• Economists are prone to fads, and the latest is machine learning Economist Article- 2012

  • A critical piece by Economist on the surge of ML in Econ. This was followed by counter argument by Noah Smith

• Are current trends in econ methodology just fads? Noah Smith

• Two Cousins Meet Avinash Tripathi

• Causal Inference and Machine Learning Guido Imbens

Articles by Practitioners

• Teconomics- Economists in Tech - Emily Glassberg Sands & Duncan Gilchrist

  • Machine Learning for Decision Making - Emily Glassberg Sands & Duncan Gilchrist

  • How to Use Machine Learning to Accelerate A/B Testing - Emily Glassberg Sands & Duncan Gilchrist

  • Machine Learning Meets Instrumental Variables - Emily Glassberg Sands & Duncan Gilchrist

• Stanford is Using Machine Learning on Satellite Images to Predict Poverty- Analytics Vidhya

• Economic Predictions with Big Data: The Illusion of Sparsity - NY Federal Reserve

• Refining the “science” of political science (MIT)- MIT PolSc

  • Political Methodology Lab- MIT PolSc

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Academic Papers 📋

Journal of Economics Perspective Symposiums

• Recent Ideas in Econometrics (Spring 2017)

  • The State of Applied Econometrics: Causality and Policy Evaluation - Susan Athey & Guido W. Imbens

  • Machine Learning: An Applied Econometric Approach - Sendhil Mullainathan & Jann Spiess

  • The Use of Structural Models in Econometrics - Hamish Low & Costas Meghir

  • Twenty Years of Time Series Econometrics in Ten Pictures - James H. Stock & Mark W. Watson

  • Identification and Asymptotic Approximations: Three Examples of Progress in Econometric Theory - James L. Powell

• Big Data (Spring 2014)

  • Big Data: New Tricks for Econometrics - Hal Varian

  • High-Dimensional Methods and Inference on Structural and Treatment Effects - Alexandre Belloni, Victor Chernozhukov, Christian Hansen

  • Political Campaigns and Big Data - David W. Nickerson & Todd Rogers

  • Privacy and Data-Based Research - Ori Heffetz & Katrina Ligett

• Econometrics Tools (Fall 2011) - Various papers and authors

• Con out of Economics (Spring 2010)

  • Taking the Dogma out of Econometrics: Structural Modeling and Credible Inference - Nevo and Whinston

  • But Economics Is Not an Experimental Science - C. Sims

  • The Credibility Revolution in Empirical Economics: How Better Research Design Is Taking the Con out of Econometrics - Angrist and Pischke

  • A Structural Perspective on the Experimentalist School - M.P Keane

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• Beyond Big Data - Hal Varian

Susan Athey Papers- Prof. of Economics @ Stanford Graduate School of Business

• Economists (and Economics) in Tech Companies

• The Impact of Machine Learning on Economics

• Beyond prediction: Using big data for policy problems

• Machine Learning Methods for Causal Effects

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Videos/Lectures 📺

Susan Athey Videos - Prof. of Economics @ Stanford Graduate School of Business

• How Big Data Is Changing Economies

• Machine Learning and Causal Inference for Policy Evaluation

  • Machine Learning and Causal Inference for Policy Evaluation

• Sackler Big Data Colloquium

• Artificial Intelligence: The Economic and Policy Implications-Keynote

Hal Varian Videos - Chief Economist @ Google

• Google and social science research

• Using Google Data for Short-term Economic Forecasting

• Economics & Technology: Careers Blending Two Fields

• Data On Purpose | Do Good Data: Casual Inference Meets Big Data

Sendhil Mullainathan Videos - Prof. of Economics @ Harvard University

• Machine Intelligence and Public Policy

• Machine Learning and Prediction in Economics and Finance

• Machine Learning: What's in it for Economics - Playlist Univ. of Chicago

• Machine Learning Meets Economics: Using Theory, Data, and Experiments to Design Markets

• Smarter Algorithms, Better Policy

Other Videos

• Why Economics Needs Data Mining Cosma Shalizi(CMU)

• Machinistas meet Randomistas: useful ML tools for Empirical Researchers Esther Duflo

• The Economics of Artificial Intelligence & Income Distribution Jeffrey Sachs

• Human Decisions and Machine Predictions Jon Kleinberg (Cornell)

• The Challenge of Big Data for the Social Sciences Kenneth Benoit, Kenneth Cukier

• Data Science from the Perspective of an Applied Economist Scott Nicholson

• From Economist to Data Scientist: How our discipline can participate in the growth of analytics Kenneth Sanford

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Economists/Data Scientists 👩 👨

Academia 🏫

 

Person	Affiliation	Comments
Matthew Harding	University of California - Irvine	Check the Deep Data Lab
David Broockman	Stanford	-
Andrew B. Hall	Stanford	-
Ariel Procaccia	CMU	-
Dario Sansone	Georgetown University	Dario has compiled an informative list on ML and Economics
Soubhik Barari	Harvard University	-
Matteo Courthoud	University of Zurich	Matteo has very good teaching resources on his website

Industry 🏢

 

Economist	Company	Comment
Emily Glassberg Sands	Coursera	Data Science Head
Jed Kolko	Indeed	Chief Economist
David H Reiley	Pandora	Economist- Advertising Science
Jacob LaRiviere	Microsoft	Economist
Dan Goldstein	Microsoft	Economist
Matt Goldman	Microsoft	Economist - Studies online economic behavior and decision making
Justin M. Rao	Microsoft	Economist -Member of interdisciplinary research group combining social science with computational and theoretical methods

• Companies like Airbnb, Microsoft and Amazon have huge teams which is filled with Economists

• Amazon Economist Jobs

  • Also check Economics @ Amazon

• Microsoft Research: Economics Group

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Courses/ Degrees 🎓

Course/Degree	Type	Institution	Prof	Detail type
M.S. Economics & Computation	Masters Degree	Duke	-	🗞️
Computer Science , Economics and Data Science	Bachelors Degree	MIT	-	🗞️
Machine Learning and Data Science in Politics	Course	MIT	In Song Kim	📑
Data Analysis for Social Scientists	Course	MIT	Esther Duflo & Sara Fisher	📑 💻 📖
R-Based High Performance Computing for Social Science	Course	MIT	Soubhik Barari	📑
Data Science for Politics	Course	Stanford		📑
Machine Learning and Causal Inference	Course	Stanford	Susan Athey	📑
Data for Sustainable Development	Course	Stanford	Marshall Burke, Stefano Ermon, David Lobell	📑
Big Data	Course	Brown	Daniel Bjorkegren	📑
Using Big Data to Solve Economic and Social Problems	Course	Harvard	Raj Chetty	📑 💻 📖
Industrial Organization and Data Science	Course	Microsoft	Justin Rao	📑
Data Science for Game Theory and Pricing	Course	Microsoft	Jacob	📑
Machine Learning and Econometrics	Course	Stanford/Berkley	Susan Athey, Guido Imbens	📑 💻 📖
Enviornmental Economics and Data Science	Course	University of Oregon	Grant McDermott	📑
Designing the Digital Economy	Course	Yale	Glen Weyl	📑