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Political Sentiment and Innovation : Evidence from Patenters

Engelberg, Joseph; Lu, Runjing; Mullins, William; … - National Bureau of Economic Research - 2023

We document political sentiment effects on US inventors. Democratic inventors are more likely to patent (relative to Republicans) after the 2008 election of Obama but less likely after the 2016 election of Trump. These effects are 2-3 times as strong among politically active partisans and are...

Persistent link: https://www.econbiz.de/10014337851

Buy, Keep or Sell : Economic Growth and the Market for Ideas

Akcigit, Ufuk - 2013

An endogenous growth model is developed where each period firms invest in researching and developing new ideas. An idea increases a firm's productivity. By how much depends on how central the idea is to a firm's activity. Ideas can be bought and sold on a market for patents. A firm can sell an...

Persistent link: https://www.econbiz.de/10012458900

Innovation and the Enforceability of Noncompete Agreements

Johnson, Matthew S.; Lipsitz, Michael; Pei, Alison - National Bureau of Economic Research - 2023

Worker mobility across firms can enhance innovation by spreading knowledge, but such mobility may also hinder … innovation by making firms reluctant to invest in R&D. A common way that firms limit workers' mobility is with noncompete … agreements (NCAs). We examine how the legal enforceability of NCAs affects innovation, as measured by patenting, using data on …

Persistent link: https://www.econbiz.de/10014322874

Patent Text and Long-Run Innovation Dynamics : The Critical Role of Model Selection

Ganguli, Ina - 2024

As distorted maps may mislead, Natural Language Processing (NLP) models may misrepresent. How do we know which NLP model to trust? We provide comprehensive guidance for selecting and applying NLP representations of patent text. We develop novel validation tasks to evaluate several leading NLP...

Persistent link: https://www.econbiz.de/10015072876

Measuring the Commercial Potential of Science

Masclans, Roger; Hasan, Sharique; Cohen, Wesley M. - National Bureau of Economic Research - 2024

This paper uses a large language model to develop an ex-ante measure of the commercial potential of scientific findings. In addition to validating the measure against the typical holdout sample, we validate it externally against 1.) the progression of scientific findings through a major...

Persistent link: https://www.econbiz.de/10014512116

The Government Patent Register : A New Resource for Measuring U.S. Government-Funded Patenting

Gross, Daniel P.; Sampat, Bhaven N. - National Bureau of Economic Research - 2024

We introduce new historical administrative data identifying U.S. government-funded patents since the early twentieth century. In addition to the funding agency, the data report whether the government has title to the patent ("title" patents) or funded a patent assigned to a private organization...

Persistent link: https://www.econbiz.de/10014486228

Invention Value, Inventive Capability and the Large Firm Advantage

Arora, Ashish; Cohen, Wesley M.; Lee, Honggi; … - National Bureau of Economic Research - 2022

Do large firms produce more valuable inventions, and if so, why? After confirming that large firms indeed produce more valuable inventions, we consider two possible sources: a superior ability to invent, or a superior ability to extract value from their inventions. We develop a simple model that...

Persistent link: https://www.econbiz.de/10013362008

Patent Hunters

Cohen, Lauren - 2024

Analyzing millions of patents granted by the USPTO between 1976 and 2020, we find a pattern where specific patents only rise to prominence after considerable time has passed. Amongst these late-blooming influential patents, we show that there are key players (patent hunters) who consistently...

Persistent link: https://www.econbiz.de/10015072906

Inventor Gender and Patent Undercitation : Evidence from Causal Text Estimation

Hochberg, Yael V.; Kakhbod, Ali; Li, Peiyao; Sachdeva, Kunal - National Bureau of Economic Research - 2023

Implementing a state-of-the-art machine learning technique for causal identification from text data (C-TEXT), we document that patents authored by female inventors are under-cited relative to those authored by males. Relative to what the same patent would be predicted to receive had the lead...

Persistent link: https://www.econbiz.de/10014337825

Technology and Labor Displacement : Evidence from Linking Patents with Worker-Level Data

Kogan, Leonid; Papanikolaou, Dimitris; Schmidt, Lawrence; … - National Bureau of Economic Research - 2023

-augmenting technologies on occupation-level employment and wage bills. A model featuring labor-saving and labor-augmenting technologies with …

Persistent link: https://www.econbiz.de/10014436977

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