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


  • Ning Huang
  • Erwin Diewert


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.

Suggested Citation

  • Ning Huang & Erwin Diewert, 2011. "Estimation of R&D depreciation rates: a suggested methodology and preliminary application," Canadian Journal of Economics, Canadian Economics Association, vol. 44(2), pages 387-412, May.
  • Handle: RePEc:cje:issued:v:44:y:2011:i:2:p:387-412

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    Cited by:

    1. GaƩtan de Rassenfosse & Adam B. Jaffe, 2017. "Econometric Evidence on the R&D Depreciation Rate," NBER Working Papers 23072, National Bureau of Economic Research, Inc.
    2. 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.
    3. repec:eee:eecrev:v:101:y:2018:i:c:p:625-642 is not listed on IDEAS

    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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