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Measuring Robot Quality: Has Quality Improvement Slowed Down?

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Listed:
  • FUJIWARA Ippei
  • KIMOTO Ryo
  • SHIRATSUKA Shigenori
  • SHIROTA Toyoichiro

Abstract

This paper measures the extent to which the quality of robots has improved in Japan between 1990 and 2018, by using data from the "Production and Shipments of Manipulators and Robots" of the Japan Robot Association and the "Corporate Goods Price Index" of the Bank of Japan. We first calculate quality-unadjusted robot price indices applying three approaches: the traditional index number approach, the stochastic approach in the spirits of Edgeworth and Jevons, the structural approach. Then, we compute robot quality by dividing quality-unadjusted prices by the quality-adjusted industrial robot price index produced by the Bank of Japan. Based on three approaches, significant decline in improvement in the quality of robots in the last decade is found. The differences in the growth rates of the robot quality between the 2000s and the 2010s show substantially negative values around -3 percentage points per annum .

Suggested Citation

  • FUJIWARA Ippei & KIMOTO Ryo & SHIRATSUKA Shigenori & SHIROTA Toyoichiro, 2021. "Measuring Robot Quality: Has Quality Improvement Slowed Down?," Discussion papers 21054, Research Institute of Economy, Trade and Industry (RIETI).
    • Handle: RePEc:eti:dpaper:21054
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    1. Michael F. Bryan & Stephen G. Cecchetti, 1994. "Measuring Core Inflation," NBER Chapters, in: Monetary Policy, pages 195-219, National Bureau of Economic Research, Inc.
    2. Daron Acemoglu & Pascual Restrepo, 2020. "Robots and Jobs: Evidence from US Labor Markets," Journal of Political Economy, University of Chicago Press, vol. 128(6), pages 2188-2244.
    3. Amit K. Khandelwal & Peter K. Schott & Shang-Jin Wei, 2013. "Trade Liberalization and Embedded Institutional Reform: Evidence from Chinese Exporters," American Economic Review, American Economic Association, vol. 103(6), pages 2169-2195, October.
    4. Seth G. Benzell & Laurence J. Kotlikoff & Guillermo LaGarda & Jeffrey D. Sachs, 2015. "Robots Are Us: Some Economics of Human Replacement," NBER Working Papers 20941, National Bureau of Economic Research, Inc.
    5. Matsuyama, Kiminori, 2017. "Beyond CES: Three Alternative Classes of Flexible Homothetic Demand Systems," CEPR Discussion Papers 12210, C.E.P.R. Discussion Papers.
    6. Francesco Caselli & Alan Manning, 2019. "Robot Arithmetic: New Technology and Wages," American Economic Review: Insights, American Economic Association, vol. 1(1), pages 1-12, June.
    7. Chad Syverson, 2017. "Challenges to Mismeasurement Explanations for the US Productivity Slowdown," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 165-186, Spring.
    8. Nicholas Bloom & Charles I. Jones & John Van Reenen & Michael Webb, 2020. "Are Ideas Getting Harder to Find?," American Economic Review, American Economic Association, vol. 110(4), pages 1104-1144, April.
    9. Georg Graetz & Guy Michaels, 2018. "Robots at Work," The Review of Economics and Statistics, MIT Press, vol. 100(5), pages 753-768, December.
    10. David M. Byrne & Eugénio Pinto, 2015. "The Recent Slowdown in High-Tech Equipment Price Declines and Some Implications for Business Investment and Labor Productivity," FEDS Notes 2015-03-26, Board of Governors of the Federal Reserve System (U.S.).
    11. Feenstra, Robert C, 1994. "New Product Varieties and the Measurement of International Prices," American Economic Review, American Economic Association, vol. 84(1), pages 157-177, March.
    12. Ippei Fujiwara & Feng Zhu, 2020. "Robots and labour: implications for inflation dynamics," BIS Papers chapters, in: Bank for International Settlements (ed.), Inflation dynamics in Asia and the Pacific, volume 111, pages 41-49, Bank for International Settlements.
    13. Daisuke Adachi & Daiji Kawaguchi & Yukiko U. Saito, 2024. "Robots and Employment: Evidence from Japan, 1978–2017," Journal of Labor Economics, University of Chicago Press, vol. 42(2), pages 591-634.
    14. Berg, Andrew & Buffie, Edward F. & Zanna, Luis-Felipe, 2018. "Should we fear the robot revolution? (The correct answer is yes)," Journal of Monetary Economics, Elsevier, vol. 97(C), pages 117-148.
    15. Stephen J Redding & David E Weinstein, 2020. "Measuring Aggregate Price Indices with Taste Shocks: Theory and Evidence for CES Preferences," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 135(1), pages 503-560.
    16. Jeffrey D. Sachs & Seth G. Benzell & Guillermo LaGarda, 2015. "Robots: Curse or Blessing? A Basic Framework," NBER Working Papers 21091, National Bureau of Economic Research, Inc.
    17. Sato, Kazuo, 1976. "The Ideal Log-Change Index Number," The Review of Economics and Statistics, MIT Press, vol. 58(2), pages 223-228, May.
    18. Shiratsuka, Shigenori, 1997. "Inflation Measures for Monetary Policy: Measuring the Underlying Inflation Trend and Its Implication for Monetary Policy Implementation," Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 15(2), pages 1-26, December.
    19. E. A. Selvanathan & D. S. Prasada Rao, 1994. "Stochastic Approach to Index Numbers," Palgrave Macmillan Books, in: Index Numbers, chapter 0, pages 47-73, Palgrave Macmillan.
    20. Carlos Cantú & Barbara Ulloa, 2020. "Inflation dynamics in Asia and the Pacific," BIS Papers, Bank for International Settlements, number 111.
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    Cited by:

    1. ARAI Kosuke & FUJIWARA Ippei & SHIROTA Toyoichiro, 2021. "Robot Penetration and Task Changes," Discussion papers 21093, Research Institute of Economy, Trade and Industry (RIETI).

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    More about this item

    JEL classification:

    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • L15 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Information and Product Quality
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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