Collection of Public Goods
- A short list of resources I find useful in my own research:
Working with Patent Data for Innovation Research
- General references on patent data:
- Hall, Bronwyn H., Adam B. Jaffe, and Manuel Trajtenberg, "The NBER patent citation data file: Lessons, insights and methodological tools" (2001).
- Lerner, Josh, and Amit Seru, "The use and misuse of patent data: Issues for finance and beyond." The Review of Financial Studies 35.6 (2022): 2667-2704.
- PatentsView
- USPTO patent data (1976-present) with rich information on patents, inventors, assignees, and citations
- NBER Patent Data Project
- USPTO patent data (1976-2006), the historical workhorse dataset
- Reference:
- Hall, Bronwyn H., Adam B. Jaffe, and Manuel Trajtenberg, "The NBER patent citation data file: Lessons, insights and methodological tools" (2001).
- Ma (2025, RFS) PatentsView to Compustat/CRSP Firm-Name Match
- Links USPTO PatentsView patents (1976-present) to Compustat NA/Global and CRSP public-firm identifiers, plus a set of patent measures (counts/stock, citations, originality/generality, exploitative/explorative, obsolescence)
- References for the linkage and obsolescence measure:
- Ma, Song, "Technological obsolescence." The Review of Financial Studies (2025): hhaf059.
- Ma, Song, "The life cycle of corporate venture capital." The Review of Financial Studies 33.1 (2020): 358-394.
- Reference for originality/generality:
- Hall, Bronwyn H., Adam B. Jaffe, and Manuel Trajtenberg, "The NBER patent citation data file: Lessons, insights and methodological tools" (2001).
- References for exploitative/explorative:
- Manso, Gustavo, "Motivating innovation." The Journal of Finance 66.5 (2011): 1823-1860.
- Almeida, Heitor, Po-Hsuan Hsu, and Dongmei Li, "Less is more: Financial constraints and innovative efficiency." SSRN Working Paper (2013).
- Custódio, Cláudia, Miguel A. Ferreira, and Pedro Matos, "Do general managerial skills spur innovation?" Management Science 65.2 (2019): 459-476.
- KPSS (2017, QJE) Patent Value
- Market-reaction-based patent value, linking patents (1926-present) to CRSP public-firm identifiers
- Reference:
- Kogan, Leonid, Dimitris Papanikolaou, Amit Seru, and Noah Stoffman, "Technological innovation, resource allocation, and growth." The Quarterly Journal of Economics 132.2 (2017): 665-712.
- KPST (2021, AERI) Breakthrough Patents
- Text-based patent breakthrough and importance measures
- Reference:
- Kelly, Bryan, Dimitris Papanikolaou, Amit Seru, and Matt Taddy, "Measuring technological innovation over the long run." American Economic Review: Insights 3.3 (2021): 303-320.
- Global Corporate Patent Dataset
- Links USPTO PatentsView patents (1976-present) to Compustat NA/Global identifiers
- References:
- Bena, Jan, Miguel A. Ferreira, Pedro Matos, and Pedro Pires, "Are foreign investors locusts? The long-term effects of foreign institutional ownership." Journal of Financial Economics 126.1 (2017): 122-146.
- Barkemeyer, David, Jan Bena, and Xiyue (Ellen) Li, "Technology life cycles: Investment, growth, and firm value." SSRN Working Paper (2026).
- Process Innovation Patent Dataset
- Process vs. product innovation classification for patents
- Reference:
- Bena, Jan, and Elena Simintzi, "Machines could not compete with Chinese labor: Evidence from US firms' innovation." Review of Finance 29.6 (2025): 1619-1661.
- Founding Patents Data
- Founding years for US-based patent assignees
- Reliance on Science
- Patent-to-paper citations linking patents to the scientific literature
- References:
- Marx, Matt, and Aaron Fuegi, "Reliance on science by inventors: Hybrid extraction of in-text patent-to-article citations." Journal of Economics & Management Strategy 31.2 (2022): 369-392.
- Marx, Matt, and Aaron Fuegi, "Reliance on science: Worldwide front-page patent citations to scientific articles." Strategic Management Journal 41.9 (2020): 1572-1594.
Working with AI Tools for Economics/Finance Research
- General references:
- Korinek, Anton, "AI agents for economic research." NBER Working Paper No. 34202 (2025).
- Dell, Melissa, "Deep learning for economists." Journal of Economic Literature 63.1 (2025): 5-58.
- Using LLMs with Cursor: Modern AI for Economics Research w/ Benjamin Golub | Markus Academy
- A Series on Claude Code by Paul Goldsmith-Pinkham
- Thinking with Agents by UVM Economics Bootcamp
- Agent Skills with Anthropic | DeepLearning.AI
- AI in Finance by Arpit Gupta