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An improved theoretical ground for the linear feedback model and a new indicator

Author

Listed:
  • Yoshitsugu Kitazawa

    (Faculty of Economics, Kyushu Sangyo University)

Abstract
This paper describes a lucid theoretical ground for the linear feedback model proposed by Blundell et al. (2002) and further proposes the indicator on the initial knowledge storage in the framework of the linear feedback model. The values of the indicator are calculated with the estimation results conducted by Blundell et al. (2002). Further, the GMM estimations of the linear feedback model are conducted by using the stationarity moment conditions customized to needs of count panel data, in order to calculate the values of the indicator.

Suggested Citation

  • Yoshitsugu Kitazawa, 2012. "An improved theoretical ground for the linear feedback model and a new indicator," Discussion Papers 58, Kyushu Sangyo University, Faculty of Economics.
    • Handle: RePEc:kyu:dpaper:58
    as

    Download full text from publisher

    File URL: http://www.ip.kyusan-u.ac.jp/keizai-kiyo/dp58.pdf
    File Function: First version, 2012
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    References listed on IDEAS

    as
    1. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
    2. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    3. Hall, Bronwyn H & Griliches, Zvi & Hausman, Jerry A, 1986. "Patents and R and D: Is There a Lag?," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 27(2), pages 265-283, June.
    4. Frank Windmeijer, 2006. "GMM for panel count data models," CeMMAP working papers CWP21/06, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    5. Shiferaw Gurmu & Fidel Pérez-Sebastián, 2008. "Patents, R&D and lag effects: evidence from flexible methods for count panel data on manufacturing firms," Empirical Economics, Springer, vol. 35(3), pages 507-526, November.
    6. Kyoo-Ho Park & Keun Lee, 2006. "Linking the technological regime to the technological catch-up: analyzing Korea and Taiwan using the US patent data," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 15(4), pages 715-753, August.
    7. Blundell, Richard & Griffith, Rachel & Windmeijer, Frank, 2002. "Individual effects and dynamics in count data models," Journal of Econometrics, Elsevier, vol. 108(1), pages 113-131, May.
    8. Holtz-Eakin, Douglas & Newey, Whitney & Rosen, Harvey S, 1988. "Estimating Vector Autoregressions with Panel Data," Econometrica, Econometric Society, vol. 56(6), pages 1371-1395, November.
    9. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    10. Montalvo, Jose G, 1997. "GMM Estimation of Count-Panel-Data Models with Fixed Effects and Predetermined Instruments," Journal of Business & Economic Statistics, American Statistical Association, vol. 15(1), pages 82-89, January.
    11. Jinyoung Kim & Gerald Marschke, 2005. "Labor Mobility of Scientists, Technological Diffusion, and the Firm's Patenting Decision," RAND Journal of Economics, The RAND Corporation, vol. 36(2), pages 298-317, Summer.
    12. Robert M. Salomon & J. Myles Shaver, 2005. "Learning by Exporting: New Insights from Examining Firm Innovation," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 14(2), pages 431-460, June.
    13. Sheng-Pin Hsueh & Wei-Ming Lee, 2012. "A revisit to the relationship between patents and R&D using empirical likelihood estimation," Economics Bulletin, AccessEcon, vol. 32(2), pages 1208-1214.
    14. Yuichiro Uchida & Paul Cook, 2007. "Innovation and Market Structure in the Manufacturing Sector: An Application of Linear Feedback Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 69(4), pages 557-580, August.
    15. Emilie-Pauline Gallié & Diego Legros, 2012. "Firms’ human capital, R&D and innovation: a study on French firms," Post-Print halshs-01227925, HAL.
    16. Cincera, Michele, 1997. "Patents, R&D, and Technological Spillovers at the Firm Level: Some Evidence from Econometric Count Models for Panel Data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(3), pages 265-280, May-June.
    17. László Mátyás & Patrick Sevestre (ed.), 2008. "The Econometrics of Panel Data," Advanced Studies in Theoretical and Applied Econometrics, Springer, number 978-3-540-75892-1.
    18. Ahn, Seung C. & Schmidt, Peter, 1995. "Efficient estimation of models for dynamic panel data," Journal of Econometrics, Elsevier, vol. 68(1), pages 5-27, July.
    19. Hausman, Jerry & Hall, Bronwyn H & Griliches, Zvi, 1984. "Econometric Models for Count Data with an Application to the Patents-R&D Relationship," Econometrica, Econometric Society, vol. 52(4), pages 909-938, July.
    20. Blundell, Richard & Griffith, Rachel & Van Reenen, John, 1995. "Dynamic Count Data Models of Technological Innovation," Economic Journal, Royal Economic Society, vol. 105(429), pages 333-344, March.
    21. Wooldridge, Jeffrey M., 1997. "Multiplicative Panel Data Models Without the Strict Exogeneity Assumption," Econometric Theory, Cambridge University Press, vol. 13(5), pages 667-678, October.
    22. Yoshitsugu Kitazawa, 2007. "Some additional moment conditions for a dynamic count panel data model," Discussion Papers 29, Kyushu Sangyo University, Faculty of Economics, revised Aug 2008.
    23. Rajshree Agarwal & Martin Ganco & Rosemarie H. Ziedonis, 2009. "Reputations for toughness in patent enforcement: implications for knowledge spillovers via inventor mobility," Strategic Management Journal, Wiley Blackwell, vol. 30(13), pages 1349-1374, December.
    24. Myriam Abdelmoula & Georges Bresson, 2007. "Spatial and Technological Spillovers in European Patenting Activities: a Dynamic Count Panel Data Model," Annals of Economics and Statistics, GENES, issue 87-88, pages 167-194.
    25. repec:adr:anecst:y:2007:i:87-88:p:09 is not listed on IDEAS
    26. Emilie-Pauline Gallié & Diègo Legros, 2012. "Firms’ human capital, R&D and innovation: a study on French firms," Empirical Economics, Springer, vol. 43(2), pages 581-596, October.
    27. Jože P. Damijan & Sašo Polanec & Janez Prašnikar, 2007. "Outward FDI and Productivity: Micro‐evidence from Slovenia," The World Economy, Wiley Blackwell, vol. 30(1), pages 135-155, January.
    28. Crepon, Bruno & Duguet, Emmanuel, 1997. "Estimating the Innovation Function from Patent Numbers: GMM on Count Panel Data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(3), pages 243-263, May-June.
    29. Margaret E. Blume-Kohout, 2012. "Does Targeted, Disease‐Specific Public Research Funding Influence Pharmaceutical Innovation?," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 31(3), pages 641-660, June.
    30. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    31. Richard Blundell & Rachel Griffith & John van Reenen, 1999. "Market Share, Market Value and Innovation in a Panel of British Manufacturing Firms," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 66(3), pages 529-554.
    32. Abel Lucena, 2011. "The Organizational Designs of R&D Activities and their Performance Implications: Empirical Evidence for Spain," Industry and Innovation, Taylor & Francis Journals, vol. 18(2), pages 151-176.
    33. Chamberlain, Gary, 1992. "Sequential Moment Restrictions in Panel Data: Comment," Journal of Business & Economic Statistics, American Statistical Association, vol. 10(1), pages 20-26, January.
    34. Windmeijer, Frank, 2000. "Moment conditions for fixed effects count data models with endogenous regressors," Economics Letters, Elsevier, vol. 68(1), pages 21-24, July.
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    More about this item

    Keywords

    linear feedback model; knowledge production; initial knowledge storage; patents-R&D relationship; GMM;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General

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