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Flexible Parametric Models for Long‐tailed Patent Count Distributions

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  • Jie Q. Guo
  • Pravin K. Trivedi

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  • Jie Q. Guo & Pravin K. Trivedi, 2002. "Flexible Parametric Models for Long‐tailed Patent Count Distributions," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 64(1), pages 63-82, February.
    • Handle: RePEc:bla:obuest:v:64:y:2002:i:1:p:63-82
    DOI: 10.1111/1468-0084.00004
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    1. Heckman, James & Singer, Burton, 1984. "A Method for Minimizing the Impact of Distributional Assumptions in Econometric Models for Duration Data," Econometrica, Econometric Society, vol. 52(2), pages 271-320, March.
    2. Crepon, Bruno & Duguet, Emmanuel, 1997. "Research and development, competition and innovation pseudo-maximum likelihood and simulated maximum likelihood methods applied to count data models with heterogeneity," Journal of Econometrics, Elsevier, vol. 79(2), pages 355-378, August.
    3. Gallant, A Ronald & Nychka, Douglas W, 1987. "Semi-nonparametric Maximum Likelihood Estimation," Econometrica, Econometric Society, vol. 55(2), pages 363-390, March.
    4. Goffe, William L. & Ferrier, Gary D. & Rogers, John, 1994. "Global optimization of statistical functions with simulated annealing," Journal of Econometrics, Elsevier, vol. 60(1-2), pages 65-99.
    5. 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.
    6. 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.
    7. Deb, Partha & Trivedi, Pravin K, 1997. "Demand for Medical Care by the Elderly: A Finite Mixture Approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(3), pages 313-336, May-June.
    8. 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.
    9. 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.
    10. Cameron, A Colin & Johansson, Per, 1997. "Count Data Regression Using Series Expansions: With Applications," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(3), pages 203-223, May-June.
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    Cited by:

    1. Katsuhito Nohara & Masaki Narukawa & Akira Hibiki, 2021. "Using contingent behavior analysis to estimate benefits from coral reefs in Kume Island, Japan: A Poisson-inverse Gaussian approach with on-site correction," TUPD Discussion Papers 1, Graduate School of Economics and Management, Tohoku University.
    2. Mario Gara & Claudio Pauselli, 2020. "Looking at ‘Crying Wolf’ from a Different Perspective: An Attempt at Detecting Banks Under- and Over-Reporting of Suspicious Transactions," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 6(2), pages 299-324, July.
    3. Michele Cincera, 2005. "The link between firms' R&D by type of activity and source of funding and the decision to patent," DULBEA Working Papers 05-10.RS, ULB -- Universite Libre de Bruxelles.
    4. Hagedoorn, John & Wang, Ning, 2010. "Is there complementarity or substitutability between internal and external R&D strategies?," MERIT Working Papers 2010-005, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    5. Xiaowei Rose Luo & Ling Yang & Xiaobin He, 2020. "Can One Stone Kill Two Birds? Political Relationship Building and Partner Acquisition in New Ventures," Entrepreneurship Theory and Practice, , vol. 44(4), pages 817-841, July.
    6. 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.
    7. Katsuhito Nohara, 2014. "Economic Valuation of the Damage to Tourism Benefits by Eastern Japan Great Earthquake Disaster," ERSA conference papers ersa14p1017, European Regional Science Association.
    8. Syarifuddin, Ferry, 2020. "The Dynamics of Foreign Direct Investment and Exchange Rates: An Interconnection Approach in ASEAN," MPRA Paper 104596, University Library of Munich, Germany.
    9. Michael Creel & Montserrat Farell, 2005. "Modeling Usage of Medical Care Services: The Medical Expenditure Panel Survey Data, 1996-2000," UFAE and IAE Working Papers 646.05, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
    10. Robert Kapłon, 2010. "Heterogeneity in models of purchase frequency. A comparison of Poisson-gamma mixtures with finite Poisson mixtures," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 20(3-4), pages 41-52.
    11. Katsuhito Nohara & Masaki Narukawa, 2015. "Measuring lost recreational benefits in Fukushima due to harmful rumors using a Poisson-inverse Gaussian regression?," ERSA conference papers ersa15p344, European Regional Science Association.
    12. Park, Byung-Jung & Zhang, Yunlong & Lord, Dominique, 2010. "Bayesian mixture modeling approach to account for heterogeneity in speed data," Transportation Research Part B: Methodological, Elsevier, vol. 44(5), pages 662-673, June.
    13. Wang, Ning & Hagedoorn, John, 2014. "The lag structure of the relationship between patenting and internal R&D revisited," Research Policy, Elsevier, vol. 43(8), pages 1275-1285.
    14. Eskander Alvi & Debasri Mukherjee & Ashraf Eid, 2007. "Do Patent Protection and Technology Transfer Facilitate R&D in Developed and Emerging Countries? A Semiparametric Study," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 35(2), pages 217-231, June.
    15. Denicolo, Vincenzo & Zanchettin, Piercarlo, 2018. "Some Simple Economics of Patent Protection for Complex Technologies," CEPR Discussion Papers 13087, C.E.P.R. Discussion Papers.
    16. Denicolò, Vincenzo & Zanchettin, Piercarlo, 2022. "Patent protection for complex technologies," International Journal of Industrial Organization, Elsevier, vol. 81(C).
    17. Hagedoorn, John & Wang, Ning, 2012. "Is there complementarity or substitutability between internal and external R&D strategies?," Research Policy, Elsevier, vol. 41(6), pages 1072-1083.
    18. V. J. Cano Fernandez & G. Guirao Perez & M. C. Rodriguez Donate & M. E. Romero Rodriguez, 2009. "An analysis of count data models for the study of exclusivity in wine consumption," Applied Economics, Taylor & Francis Journals, vol. 41(12), pages 1563-1574.

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