Innovation Network

31 Pages Posted: 31 Oct 2016

See all articles by Daron Acemoglu

Daron Acemoglu

Massachusetts Institute of Technology (MIT) - Department of Economics; Centre for Economic Policy Research (CEPR); National Bureau of Economic Research (NBER)

Ufuk Akcigit

University of Chicago - Department of Economics; National Bureau of Economic Research (NBER); Center for Economic and Policy Research (CEPR)

William Kerr

Harvard University - Entrepreneurial Management Unit

Multiple version iconThere are 2 versions of this paper

Date Written: October 2016

Abstract

Technological progress builds upon itself, with the expansion of invention in one domain propelling future work in linked fields. Our analysis uses 1.8 million U.S. patents and their citation properties to map the innovation network and its strength. Past innovation network structures are calculated using citation patterns across technology classes during 1975-1994. The interaction of this pre-existing network structure with patent growth in upstream technology fields has strong predictive power on future innovation after 1995. This pattern is consistent with the idea that when there is more past upstream innovation for a particular technology class to build on, then that technology class innovates more.

Suggested Citation

Acemoglu, Daron and Akcigit, Ufuk and Kerr, William R., Innovation Network (October 2016). NBER Working Paper No. w22783. Available at SSRN: https://ssrn.com/abstract=2861715

Daron Acemoglu (Contact Author)

Massachusetts Institute of Technology (MIT) - Department of Economics ( email )

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Ufuk Akcigit

University of Chicago - Department of Economics ( email )

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National Bureau of Economic Research (NBER) ( email )

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Center for Economic and Policy Research (CEPR) ( email )

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William R. Kerr

Harvard University - Entrepreneurial Management Unit ( email )

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Boston, MA 02163
United States

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