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A Short Note on Aggregating Productivity

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  • David Baqaee
  • Emmanuel Farhi

Abstract

This paper discusses two simple decompositions for aggregate productivity analysis in the presence of distortions and in general equilibrium. The first is a generalization of Baqaee and Farhi (2017) and the second is due to Petrin and Levinsohn (2012). In the process, we propose a new “distorted” Solow residual which, contrary to the traditional Solow residual, accurately measures changes in aggregate productivity in disaggregated economies with distortions. These formulas apply to any collection of producers ranging from one isolated producer to an industry or to an entire economy. They can be useful for empiricists and theorists alike. Potential applications of these formulas include: (1) decomposing aggregate productivity into its microeconomic sources, separating technical and allocative efficiency; (2) aggregating microeconomic estimates (for example, from natural experiments) to assess macroeconomic effects; (3) constructing and interpreting aggregate counterfactuals. Despite their simplicity, the formulas are general, allowing for production networks, multi-product firms, and non-constant returns. They are also entirely nonparametric. They only assume market clearing and cost minimization.

Suggested Citation

  • David Baqaee & Emmanuel Farhi, 2019. "A Short Note on Aggregating Productivity," NBER Working Papers 25688, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:25688
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    References listed on IDEAS

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    1. David Rezza Baqaee & Emmanuel Farhi, 2020. "Productivity and Misallocation in General Equilibrium," The Quarterly Journal of Economics, Oxford University Press, vol. 135(1), pages 105-163.
    2. Robert E. Hall, 2018. "New Evidence on the Markup of Prices over Marginal Costs and the Role of Mega-Firms in the US Economy," NBER Working Papers 24574, National Bureau of Economic Research, Inc.
    3. Amil Petrin & James Levinsohn, 2012. "Measuring aggregate productivity growth using plant-level data," RAND Journal of Economics, RAND Corporation, vol. 43(4), pages 705-725, December.
    4. Charles R. Hulten, 1978. "Growth Accounting with Intermediate Inputs," Review of Economic Studies, Oxford University Press, vol. 45(3), pages 511-518.
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    Cited by:

    1. David Baqaee & Emmanuel Farhi, 2020. "Nonlinear Production Networks with an Application to the Covid-19 Crisis," NBER Working Papers 27281, National Bureau of Economic Research, Inc.
    2. Natalie Bau & Adrien Matray, 2020. "Misallocation and Capital Market Integration: Evidence from India," Working Papers 2020-31, Princeton University. Economics Department..
    3. Eric J. Bartelsman, 2019. "From New Technology to Productivity," European Economy - Discussion Papers 2015 - 113, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    4. Ariel Weinberger & Qian Xuefeng & Mahmut Yaşar, 2021. "Export tax rebates and resource misallocation: Evidence from a large developing country," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 54(4), pages 1562-1608, November.
    5. Flynn, Zach, 2019. "Unproductive by choice: substitution and the slowdown in aggregate productivity growth in the United States," SocArXiv sw42f, Center for Open Science.

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    More about this item

    JEL classification:

    • E0 - Macroeconomics and Monetary Economics - - General
    • L0 - Industrial Organization - - General

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