Data and Code for: Equilibrium Technology Diffusion, Trade, and Growth

Resource Type
Dataset : aggregate data, census/enumeration data, program source code
  • Perla, Jesse (University of British Columbia)
  • Tonetti, Christopher (Stanford University, Graduate School of Business)
  • Waugh, Michael E. (New York University, Stern School of Business)
Publication Date
Free Keywords
economic growth; international trade; technology diffusion; productivity dynamics
  • Abstract

    This repository contains the code and instructions needed to replicate all the results (figures and tables) in the Perla, Tonetti, and Waugh paper "Equilibrium Technology Diffusion, Trade, and Growth."

    Abstract: We study how opening to trade affects economic growth in a model where heterogeneous firms can adopt new technologies already in use by other firms in their home country. We characterize the growth rate using a summary statistic of the profit distribution---the mean-min ratio. Opening to trade increases the profit spread through increased export opportunities and foreign competition, induces more rapid technology adoption, and generates faster growth. Quantitatively, these forces produce large welfare gains from trade by increasing an inefficiently low rate of technology adoption and economic growth.

Temporal Coverage
  • 1977-01-01 / 2000-12-31
    Time Period: Sat Jan 01 00:00:00 EST 1977--Sun Dec 31 00:00:00 EST 2000
Geographic Coverage
  • USA
This study is freely available to the general public via web download.
  • Is version of
    DOI: 10.3886/E119393
  • Perla, Jesse, Christopher Tonetti, and Michael E. Waugh. “Equilibrium Technology Diffusion, Trade, and Growth.” American Economic Review, n.d.

Update Metadata: 2020-12-17 | Issue Number: 1 | Registration Date: 2020-12-17