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Estimation of R&D depreciation rates: a suggested methodology and preliminary application

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  • Ning Huang
  • Erwin Diewert

Abstract

The 2008 version of the SNA has recommended capitalization of R&D expenditures. To implement this recommendation, we need to determine the depreciation rate of R&D capital. In this paper, we develop a simple model, based on a production function method that allows for monopolistic competition, to estimate the annual depreciation rate of R&D capital. We treat R&D capital as a technology shifter instead of as an explicit input factor. Both the R&D stock and the time variable are used to capture technological progress. Estimated R&D depreciation rates and markup factors are presented for the U.S. manufacturing sector and four U.S. knowledge‐intensive industries. L’édition 2008 du SCN recommande la capitalisation des dépenses en R‐D. Pour mettre en oeuvre cette recommandation, il est nécessaire d’estimer un taux de dépréciation pour la R‐D. Dans le présent article, nous développons un modèle simple, basé sur la méthode dite de fonction de production caractérisée par la concurrence monopolistique pour estimer le taux de dépréciation annuel de la R‐D. Nous traitons la R‐D comme un levier de la technologie plutôt qu’un facteur de production explicite. Le stock de R‐D et la variable temps sont utilisés pour traduire le progrès technologique. Le taux de dépréciation estimé de la R‐D et un coefficient de ‘mark‐up’ sont présentés pour le secteur manufacturier des États‐Unis et pour quatre de leurs industries du savoir.

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  • Ning Huang & Erwin Diewert, 2011. "Estimation of R&D depreciation rates: a suggested methodology and preliminary application," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 44(2), pages 387-412, May.
  • Handle: RePEc:wly:canjec:v:44:y:2011:i:2:p:387-412
    DOI: 10.1111/j.1540-5982.2011.01638.x
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    Cited by:

    1. Shutao Cao & Sharon Kozicki, 2015. "A New Data Set of Quarterly Total Factor Productivity in the Canadian Business Sector," Staff Working Papers 15-6, Bank of Canada.
    2. Albonico, Alice & Kalyvitis, Sarantis & Pappa, Evi, 2014. "Capital maintenance and depreciation over the business cycle," Journal of Economic Dynamics and Control, Elsevier, vol. 39(C), pages 273-286.
    3. Paul Schreyer & María Belén Zinni, 2021. "Productivity Measurement, R&D Assets, and Mark‐Ups in OECD Countries," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 67(4), pages 787-809, December.
    4. Myeongwan Kim, John Lester, 2019. "R&D Spillovers in Canadian Industry: Results from a New Micro Database," CSLS Research Reports 2019-02, Centre for the Study of Living Standards.
    5. Michelle Alexopoulos & Alice O. Nakamura, 2011. "Grappling with the elephant: a symposium on technical change and productivity," Canadian Journal of Economics, Canadian Economics Association, vol. 44(2), pages 381-386, May.
    6. Gaétan de Rassenfosse & Adam B. Jaffe, 2017. "Econometric Evidence on the R&D Depreciation Rate," NBER Working Papers 23072, National Bureau of Economic Research, Inc.
    7. W. Erwin Diewert & Takanobu Nakajima & Alice Nakamura & Emi Nakamura & Masao Nakamura, 2011. "Returns to scale: concept, estimation and analysis of Japan's turbulent 1964–88 economy," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 44(2), pages 451-485, May.
    8. Chinloy, Peter & Jiang, Cheng & John, Kose, 2020. "Investment, depreciation and obsolescence of R&D," Journal of Financial Stability, Elsevier, vol. 49(C).
    9. Belousova, Irina, 2017. "The role of endogenous capital depreciation rate in Dynamic Stochastic General Equilibrium models: Evidence from Canada," MPRA Paper 102036, University Library of Munich, Germany.
    10. Myeongwan Kim, John Lester, 2019. "R&D Spillovers in Canadian Industry: Results from a New Micro Database," CSLS Research Reports 2019-02, Centre for the Study of Living Standards.
    11. Jie Liu & Arnulf Grubler & Tieju Ma & Dieter F. Kogler, 2021. "Identifying the technological knowledge depreciation rate using patent citation data: a case study of the solar photovoltaic industry," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 93-115, January.
    12. Ieva Kozlovska, 2015. "The impact of long-lived non-financial assets depreciation/amortization method on financial statements," Copernican Journal of Finance & Accounting, Uniwersytet Mikolaja Kopernika, vol. 4(2), pages 91-108.
    13. Robert J. Hill & Alice O. Nakamura, 2010. "Improving Inflation And Related Performance Measures For Nations: An Introduction," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 56(s1), pages 1-10, June.
    14. de Rassenfosse, Gaétan & Jaffe, Adam B., 2018. "Econometric evidence on the depreciation of innovations," European Economic Review, Elsevier, vol. 101(C), pages 625-642.
    15. Richard B. Freeman & Alice O. Nakamura & Leonard I. Nakamura & Marc Prud’homme & Amanda Pyman, 2011. "Wal‐Mart innovation and productivity: a viewpoint," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 44(2), pages 486-508, May.
    16. Alice Albonico & Sarantis Kalyvitis & Evi Pappa, 2011. "Real Business Cycles with Capital Maintenance," Quaderni di Dipartimento 147, University of Pavia, Department of Economics and Quantitative Methods.
    17. Pinchetti, Marco, 2020. "What Is Driving The TFP Slowdown? Insights From a Schumpeterian DSGE Model," MPRA Paper 98316, University Library of Munich, Germany.

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    More about this item

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • D43 - Microeconomics - - Market Structure, Pricing, and Design - - - Oligopoly and Other Forms of Market Imperfection
    • D92 - Microeconomics - - Micro-Based Behavioral Economics - - - Intertemporal Firm Choice, Investment, Capacity, and Financing

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