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Non-homothetic preferences and industry directed technical change

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  • Timo Boppart
  • Franziska J. Weiss

Abstract

Sectoral data features (i) changing relative expenditures of different sectors, (ii) non-constancy in relative prices and (iii) long-run trends in relative TFP growth rates across sectors. We provide a tractable theory of industry directed technical change, which is able to reconcile these findings. In doing so, this paper emphasizes the importance of directed technical change, nonhomotheticity of preferences and structural change as a long-run phenomenon. Using the input-output tables of the U.S., our theory helps us to reconstruct how structural change in terms of final consumption affects the market size of industry value-added. Arguing that the structural change across broad categories of final consumption is exogenous from the perspective of an individual firm, this gives us an instrument for the industrial market size (at the valueadded level). We then empirically test for the market size effect of induced innovation. Our findings suggest that a 1 percent increase in an industry’s market size (relative to GDP) leads to an increase in the TFP growth rate of about 0.3 percentage points over five years.

Suggested Citation

  • Timo Boppart & Franziska J. Weiss, 2013. "Non-homothetic preferences and industry directed technical change," ECON - Working Papers 123, Department of Economics - University of Zurich.
    • Handle: RePEc:zur:econwp:123
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    References listed on IDEAS

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    Cited by:

    1. Beerli, Andreas & Weiss, Franziska J. & Zilibotti, Fabrizio & Zweimüller, Josef, 2020. "Demand forces of technical change evidence from the Chinese manufacturing industry," China Economic Review, Elsevier, vol. 60(C).
    2. Pengfei Zhang, 2018. "Endogenous sector-biased technical change and perpetual and transient structural change," Journal of Economics, Springer, vol. 123(3), pages 195-223, April.

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    More about this item

    Keywords

    Directed technical change; structural change; non-homothetic preferences; input-output tables; market size effect;
    All these keywords.

    JEL classification:

    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • O41 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - One, Two, and Multisector Growth Models

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