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Stephen Shu, PhD

Professor of Practice of Behavioral Economics

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Posted on July 25, 2022August 10, 2022 by steveshu

Good Papers on Machine Learning and Economics

Here are some overview papers that may be of interest to people that are learning about ties between machine learning and economics. Admittedly, it helps to have some formal background on causal inference to read these papers.

  • Mullainathan, S., & Spiess, J. (2017). Machine learning: an applied econometric approach. Journal of Economic Perspectives, 31(2), 87-106.
  • Athey, S. (2018). The impact of machine learning on economics. In The economics of artificial intelligence: An agenda (pp. 507-547). University of Chicago Press.

For more background on causal inference, I highly recommend the book by Scott Cunningham, Causal Inference.

CategoriesBehavioral Economics, Research Methods

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