IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Log in (now much improved!) to save this paper

Reconciling Models of Diffusion and Innovation: A Theory of the Productivity Distribution and Technology Frontier

Listed author(s):
  • Jess Benhabib
  • Jesse Perla
  • Christopher Tonetti

We study how innovation and technology diffusion interact to endogenously determine the productivity distribution and generate aggregate growth. We model firms that choose to innovate, adopt technology, or produce with their existing technology. Costly adoption creates a spread between the best and worst technologies concurrently used to produce similar goods. The balance of adoption and innovation determines the shape of the distribution; innovation stretches the distribution, while adoption compresses it. Whether and how innovation and diffusion contribute to aggregate growth depends on the support of the productivity distribution. With finite support, the aggregate growth rate cannot exceed the maximum growth rate of innovators. Infinite support allows for “latent growth”: extra growth from initial conditions or auxiliary stochastic processes. While innovation drives long-run growth, changes in the adoption process can influence growth by affecting innovation incentives, either directly, through licensing excludable technologies, or indirectly, via the option value of adoption.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.nber.org/papers/w23095.pdf
Download Restriction: Access to the full text is generally limited to series subscribers, however if the top level domain of the client browser is in a developing country or transition economy free access is provided. More information about subscriptions and free access is available at http://www.nber.org/wwphelp.html. Free access is also available to older working papers.

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 23095.

as
in new window

Length:
Date of creation: Jan 2017
Handle: RePEc:nbr:nberwo:23095
Note: EFG PR
Contact details of provider: Postal:
National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A.

Phone: 617-868-3900
Web page: http://www.nber.org
Email:


More information through EDIRC

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as
in new window


  1. Mike Waugh & Christopher Tonetti & Jesse Perla, 2013. "Equilibrium Technology Diffusion, Trade, and Growth," 2013 Meeting Papers 484, Society for Economic Dynamics.
  2. Zilibotti, Fabrizio & König, Michael & Lorenz, Jan, 2016. "Innovation vs. imitation and the evolution of productivity distributions," Theoretical Economics, Econometric Society, vol. 11(3), September.
  3. Chu, Angus C. & Cozzi, Guido & Galli, Silvia, 2011. "Innovating like China: a theory of stage-dependent intellectual property rights," MPRA Paper 30553, University Library of Munich, Germany.
  4. Perron, Pierre & Vogelsang, Timothy J, 1992. "Nonstationarity and Level Shifts with an Application to Purchasing Power Parity," Journal of Business & Economic Statistics, American Statistical Association, vol. 10(3), pages 301-320, July.
  5. Jesse Perla & Christopher Tonetti, 2014. "Equilibrium Imitation and Growth," Journal of Political Economy, University of Chicago Press, vol. 122(1), pages 52-76.
  6. Jess Benhabib & Jesse Perla & Christopher Tonetti, 2014. "Catch-up and fall-back through innovation and imitation," Journal of Economic Growth, Springer, vol. 19(1), pages 1-35, March.
  7. Chu, Angus C. & Cozzi, Guido & Galli, Silvia, 2014. "Stage-dependent intellectual property rights," Journal of Development Economics, Elsevier, vol. 106(C), pages 239-249.
  8. Nancy L Stokey, 2014. "The Race Between Technology and Human Capital," 2014 Meeting Papers 1113, Society for Economic Dynamics.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:nbr:nberwo:23095. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ()

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.