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Intangible Asset Valuation Model Using Panel Data

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  • Tomohiro Yamaguchi

Abstract

In this paper, we design a valuation model for intangible assets using panel data, and empirically investigate the model validity. The approach using panel data is an evaluation method that uses unobserved firm-specific effects based on panel analysis. Our model first estimates production function using panel analysis, and then develops cost function using a duality approach. Next, we discount added value and costs resulting from intangible assets using fixed effects. Empirical analysis using the model compares the estimated parameter values in the nonlinear profit function consisting of production function and cost function with those in the production function alone, which becomes linear after logarithmic conversion, and finds that the two are generally similar. Additionally, the market value of equity is more closely associated with both the book value of equity and the value of intangible assets than with the book value of equity alone. These results support the validity of the model for evaluating intangible assets. This model is easy to apply in practice and is based on a simple idea. Further discussion of this model is warranted given the increasing importance attached to the value of intangible assets. Copyright Springer Japan 2014

Suggested Citation

  • Tomohiro Yamaguchi, 2014. "Intangible Asset Valuation Model Using Panel Data," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 21(2), pages 175-191, May.
    • Handle: RePEc:kap:apfinm:v:21:y:2014:i:2:p:175-191
    DOI: 10.1007/s10690-014-9181-z
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    References listed on IDEAS

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    1. Fuss, Melvyn & McFadden, Daniel, 1978. "Production Economics: A Dual Approach to Theory and Applications (II): Applications of the Theory of Production," History of Economic Thought Books, McMaster University Archive for the History of Economic Thought, volume 2, number fuss1978a.
    2. Pablo Gonzalo Ramirez & Toyohiko Hachiya, 2008. "Measuring the Contribution of Intangibles to Productivity Growth: A Disaggregate Analysis of Japanese Firms," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 11(02), pages 151-186.
    3. Fuss, Melvyn & McFadden, Daniel (ed.), 1978. "Production Economics: A Dual Approach to Theory and Applications," Elsevier Monographs, Elsevier, edition 1, number 9780444850133.
    4. Matyas, Laszlo & Lovrics, Laszlo, 1991. "Missing observations and panel data : A Monte-Carlo analysis," Economics Letters, Elsevier, vol. 37(1), pages 39-44, September.
    5. Diewert, W E, 1971. "An Application of the Shephard Duality Theorem: A Generalized Leontief Production Function," Journal of Political Economy, University of Chicago Press, vol. 79(3), pages 481-507, May-June.
    6. Vasicek, Oldrich A, 1973. "A Note on Using Cross-Sectional Information in Bayesian Estimation of Security Betas," Journal of Finance, American Finance Association, vol. 28(5), pages 1233-1239, December.
    7. Nielsen, Christian & Madsen, Mona Toft, 2009. "Discourses of transparency in the intellectual capital reporting debate: Moving from generic reporting models to management defined information," CRITICAL PERSPECTIVES ON ACCOUNTING, Elsevier, vol. 20(7), pages 847-854.
    8. Leonard I. Nakamura, 1999. "Intangibles: what put the new in the new economy?," Business Review, Federal Reserve Bank of Philadelphia, issue Jul, pages 3-16.
    9. Lev, Baruch & Sougiannis, Theodore, 1996. "The capitalization, amortization, and value-relevance of R&D," Journal of Accounting and Economics, Elsevier, vol. 21(1), pages 107-138, February.
    10. Dieter Sadowski & Oliver Ludewig, 2003. "Organisational Capital: The Power of an Economic Metaphor: Organisational Capital in German Establishments," IAAEG Discussion Papers until 2011 200302, Institute of Labour Law and Industrial Relations in the European Union (IAAEU).
    11. Fuss, Melvyn & McFadden, Daniel, 1978. "Production Economics: A Dual Approach to Theory and Applications (I): The Theory of Production," History of Economic Thought Books, McMaster University Archive for the History of Economic Thought, volume 1, number fuss1978.
    12. Baruch Lev & Suresh Radhakrishnan, 2003. "The Measurement of Firm-Specific Organization Capital," NBER Working Papers 9581, National Bureau of Economic Research, Inc.
    13. Lev, B & Zarowin, P, 1999. "The boundaries of financial reporting and how to extend them," Journal of Accounting Research, Wiley Blackwell, vol. 37(2), pages 353-385.
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