Technological Innovation, Resource Allocation, and Growth
Source: Kogan, L., Papanikolaou, D., Seru, A. & Stoffman, N. (2017) · Quarterly Journal of Economics 132(2), 665–712 · DOI: 10.1093/qje/qjw040
The idea
Construct a direct, market-based measure of the economic value of each patent by combining US patent
data with the stock-market reaction around the day the patent is granted, over 1926–2010. Because
valuable innovations produce larger price reactions, this weighting turns raw patent counts into an
economic measure of innovation. The measure predicts growth and reallocation and generates **creative
destruction*: a firm's value and productivity can fall when competitors* innovate.
Evidence
future citation count — but, unlike citations, the measure is available contemporaneously and over the
full long sample (citations are reliable only post-1975).
firm, industry, and aggregate level; aggregate innovation is positively correlated with **TFP and
output** growth.
within an industry (and, more weakly, across industries).
non-innovating firms cut capital and labor when rivals innovate, and rising industry innovation raises
the rate of firm exit (industry shakeouts).
qualitatively similar but 2–3× smaller economic magnitudes; consumption shows a U-shaped response
and aggregate Tobin's Q declines after innovation shocks (signatures of embodied technology shocks).
Why it matters
A widely used, openly shared measure of innovation value that links intangible/innovative capital to
the macroeconomy and to the cross-section of returns — relevant to value/growth, intangibles-adjusted
valuation, and the economics of technological change and creative destruction.
Caveats
Key references
Provenance: verified/generated from the paper's full text.
