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Rental Prices, Rates of Return, Capital Aggregation and Productivity: Evidence from EU and US

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  • Abdul Azeez Erumban

Abstract

With the increasing importance of investment in information and communication technology, methods for measuring the contribution of capital to growth have re-assumed centre-stage in recent growth accounting literature. The importance of using capital service growth rates rather than capital stock growth rates has long been advocated, and has become mainstream practice. However, the choice for a particular rate of return in the derivation of capital service prices is not straightforward and has barely been researched. Using four alternative rental price models —based on both external and internal rates of return models—this article quantifies the differences in total factor productivity growth rates (TFPG) under different model assumptions. The differences in TFPG are also examined in terms of the inclusion of taxes and subsidies in the calculation of rental prices. Empirical analysis carried out for four EU countries and the US in 26 industries during 1979-2003 shows that the use of capital stock overestimates TFPG in most industries. Incorporation of taxes seems to have only modest effect. The magnitude of divergence generated by alternative rental price models-particularly between internal models- is quite low. The difference is seen to be relatively high between external rate of return models and internal rate of return models. (JEL codes: E01,O47) Copyright , Oxford University Press.

Suggested Citation

  • Abdul Azeez Erumban, 2008. "Rental Prices, Rates of Return, Capital Aggregation and Productivity: Evidence from EU and US," CESifo Economic Studies, CESifo Group, vol. 54(3), pages 499-533, September.
  • Handle: RePEc:oup:cesifo:v:54:y:2008:i:3:p:499-533
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    File URL: http://hdl.handle.net/10.1093/cesifo/ifn022
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    Cited by:

    1. Oulton, Nicholas & Wallis, Gavin, 2016. "Capital stocks and capital services: Integrated and consistent estimates for the United Kingdom, 1950–2013," Economic Modelling, Elsevier, vol. 54(C), pages 117-125.
    2. Ester Gomes da Silva, 2010. "Capital services estimates in Portuguese industries, 1977–2003," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 9(1), pages 35-74, April.
    3. K L Krishna & Deb Kusum Das & Abdul A Erumban & Suresh Aggarwal & Pilu Chandra Das, 2016. "Productivity Dynamics In India’S Service Sector: An Industry-Level Perspective," Working papers 261, Centre for Development Economics, Delhi School of Economics.
    4. Robert Inklaar, 2010. "The Sensitivity Of Capital Services Measurement: Measure All Assets And The Cost Of Capital," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 56(2), pages 389-412, June.
    5. Bert M. Balk, 2007. "Measuring Productivity Change without Neoclassical Assumptions: A Conceptual Analysis," CEPA Working Papers Series WP042007, School of Economics, University of Queensland, Australia.
    6. Erumban, Abdul Azeez & Das, Deb Kusum & Aggarwal, Suresh & Das, Pilu Chandra, 2019. "Structural change and economic growth in India," Structural Change and Economic Dynamics, Elsevier, vol. 51(C), pages 186-202.
    7. Nicholas Oulton & Gavin Wallis, 2015. "Integrated Estimates of Capital Stocks and Services for the United Kingdom: 1950-2013," CEP Discussion Papers dp1342, Centre for Economic Performance, LSE.
    8. Xi Wei & Xu Jun, 2015. "The Estimate of Capital Services by Sector in China," Journal of Systems Science and Information, De Gruyter, vol. 3(3), pages 214-233, June.
    9. Erumban, Abdul A., 2024. "Informality and aggregate labor productivity growth: Does ICT moderate the relationship?," Telecommunications Policy, Elsevier, vol. 48(1).
    10. Mary O'Mahony & Marcel P. Timmer, 2009. "Output, Input and Productivity Measures at the Industry Level: The EU KLEMS Database," Economic Journal, Royal Economic Society, vol. 119(538), pages 374-403, June.
    11. K L Krishna & Abdul Azeez Erumban & Bishwanath Goldar, 2018. "ICT investment and economic growth in India: An industry perspective," Working Papers id:12684, eSocialSciences.
    12. repec:dgr:rugggd:gd-103 is not listed on IDEAS
    13. Nicholas Oulton & Ana Rincón-Aznar, 2012. "Rates of Return and Alternative Measures of Capital Input: 14 Countries and Ten Branches, 1971–2005," Chapters, in: Matilde Mas & Robert Stehrer (ed.), Industrial Productivity in Europe, chapter 10, Edward Elgar Publishing.
    14. Erumban, Abdul A. & Das, Deb Kusum, 2016. "Information and communication technology and economic growth in India," Telecommunications Policy, Elsevier, vol. 40(5), pages 412-431.
    15. Thomas Niebel & Marianne Saam, 2016. "ICT and Growth: The Role of Rates of Return and Capital Prices," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 62(2), pages 283-310, June.
    16. Xi Wei & Cheng Xiran, 2018. "The Difference of Capital Input and Productivity in Service Industries: Based on Four Stages Bootstrap-DEA Model," Journal of Systems Science and Information, De Gruyter, vol. 6(4), pages 320-335, August.
    17. Serena Fatica, 2017. "Measurement and Allocation of Capital Inputs With Taxes: A Sensitivity Analysis for OECD Countries," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 63(1), pages 1-29, March.

    More about this item

    JEL classification:

    • E01 - Macroeconomics and Monetary Economics - - General - - - Measurement and Data on National Income and Product Accounts and Wealth; Environmental Accounts
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence

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