About

See what others have done to imagine what's possible.

I'm Pranjal Rawat, an economist and data scientist. I'm pursuing my PhD in Economics at Georgetown University, focusing on pricing, advertising, and agents. I've worked at Uber, Roblox, and American Express on experimentation, causal inference, risk modeling, and recommender systems.

I built Tech-Econ to keep a public, curated index of practical tools and resources for economics in tech: packages, datasets, learning materials, talks, and communities. To document the wonderful work the community has done.

Contribute via the submit form. PRs welcome on GitHub.

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What's Inside

Python Packages527
Datasets443
Papers1377 across 33 topics
Learning Resources518
Talks & Podcasts265
Books102
Career Resources639
Community & Events452
Getting Started Roadmaps14
Total4337

Acknowledgements

Tech-Econ is an aggregator site—we curate and organize links to resources created by others. All credit belongs to the original content creators: the researchers who wrote the papers, the developers who built the packages, the educators who created the courses, and the speakers who gave the talks.

We don't host or own any of the linked content. We simply aim to make it easier to discover the incredible work the economics and tech community has produced. If you find a resource valuable, please cite and support the original creators directly.

Thank you to everyone who has contributed to the field and made their work publicly available. This site exists because of your generosity in sharing knowledge.

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