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GMM Estimation of Count-Panel-Data Models with Fixed Effects and Predetermined Instruments

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  • Montalvo, Jose G

Abstract

The 'traditional' approach to the estimation of count panel data models with fixed effects is the conditional maximum-likelihood estimator. This paper proposed a GMM estimator for count panel data models with fixed effects, based on a transformation of the conditional mean specification, that is consistent even when the explanatory variables are predetermined. Two applications are discussed: the relationship between patents and R&D expenditures and the explanation of technology transfer.

Suggested Citation

  • 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.
  • Handle: RePEc:bes:jnlbes:v:15:y:1997:i:1:p:82-89
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    Citations

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    Cited by:

    1. 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.
    2. 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.
    3. Rentocchini, Francesco, 2011. "Sources and characteristics of software patents in the European Union: Some empirical considerations," Information Economics and Policy, Elsevier, vol. 23(1), pages 141-157, March.
    4. 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.
    5. Alka Chadha, 2005. "Trips and Patenting Activity: Evidence from the Indian Pharmaceutical Industry," Departmental Working Papers wp0512, National University of Singapore, Department of Economics.
    6. Hagedoorn, John & Wang, Ning, 2010. "Is there complementarity or substitutability between internal and external R&D strategies?," MERIT Working Papers 005, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    7. Koski, Heli, 2000. "Regulators and Competition Spurring or Retarding Innovation in the Telecommunications Sector?," Discussion Papers 724, The Research Institute of the Finnish Economy.
    8. Rincke, Johannes, 2007. "Policy diffusion in space and time: The case of charter schools in California school districts," Regional Science and Urban Economics, Elsevier, vol. 37(5), pages 526-541, September.
    9. Frank Windmeijer, 2006. "GMM for panel count data models," Bristol Economics Discussion Papers 06/591, Department of Economics, University of Bristol, UK.
    10. 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.
    11. Mann, Ronald J. & Sager, Thomas W., 2007. "Patents, venture capital, and software start-ups," Research Policy, Elsevier, vol. 36(2), pages 193-208, March.
    12. Brajendra C. Sutradhar & Vandna Jowaheer & R. Prabhakar Rao, 2016. "Semi-Parametric Models for Negative Binomial Panel Data," Sankhya A: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 78(2), pages 269-303, August.
    13. Sunil Kanwar & Shailu Singh, 2016. "The Innovation-R&D Nexus- Evidence from the Indian Manufacturing Sector," Working papers 265, Centre for Development Economics, Delhi School of Economics.
    14. 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.
    15. Brajendra C. Sutradhar & R. Prabhakar Rao, 2016. "Inferences in Longitudinal Count Data Models with Measurement Errors in Time Dependent Covariates," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 78(1), pages 39-65, May.
    16. repec:eee:indorg:v:54:y:2017:i:c:p:89-124 is not listed on IDEAS
    17. Kamel Mellahi & Adrian Wilkinson, 2010. "A Study of the Association between Level of Slack Reduction Following Downsizing and Innovation Output," Journal of Management Studies, Wiley Blackwell, vol. 47(3), pages 483-508, May.
    18. repec:spr:aistmt:v:70:y:2018:i:1:d:10.1007_s10463-016-0590-9 is not listed on IDEAS
    19. 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.

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