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

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Cited by:

  1. 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.
  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. Sunil Kanwar & Shailu Singh, 2018. "The Innovation†R&D Nexus in an Emerging Economy: Evidence from the Indian Manufacturing Sector," Australian Economic Papers, Wiley Blackwell, vol. 57(1), pages 35-54, March.
  4. Pérez-Granja, Ubay & Pérez-Sánchez, José María & Pérez-Rodríguez, Jorge V., 2024. "Assessing economic performance and aviation accidents using zero-inflated and over-dispersed panel data models," Journal of Air Transport Management, Elsevier, vol. 118(C).
  5. Srinivasan, Chittur S. & Shankar, Bhavani, 2001. "Some Aspects Of The International Experience Of Plant Variety Protection," 2001 Annual meeting, August 5-8, Chicago, IL 20437, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  6. 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.
  7. 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).
  8. 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.
  9. 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.
  10. Frank Windmeijer, 2006. "GMM for panel count data models," Bristol Economics Discussion Papers 06/591, School of Economics, University of Bristol, UK.
  11. Joan Monràs & José Garcia Montalvo, 2021. "The effect of second generation rent controls: New evidence from Catalonia," Economics Working Papers 1836, Department of Economics and Business, Universitat Pompeu Fabra, revised Apr 2022.
  12. Mann, Ronald J. & Sager, Thomas W., 2007. "Patents, venture capital, and software start-ups," Research Policy, Elsevier, vol. 36(2), pages 193-208, March.
  13. Blazsek, Szabolcs & Escribano, Alvaro, 2010. "Knowledge spillovers in US patents: A dynamic patent intensity model with secret common innovation factors," Journal of Econometrics, Elsevier, vol. 159(1), pages 14-32, November.
  14. Sikandar Siddiqui, 1997. "The impact of health on retirement behaviour: empirical evidence from West Germany," Health Economics, John Wiley & Sons, Ltd., vol. 6(4), pages 425-438, July.
  15. Siebert, Ralph Bernd, 2017. "A structural model on the impact of prediscovery licensing and research joint ventures on innovation and product market efficiency," International Journal of Industrial Organization, Elsevier, vol. 54(C), pages 89-124.
  16. Greene, W., 2001. "Fixed and Random Effects in Nonlinear Models," New York University, Leonard N. Stern School Finance Department Working Paper Seires 01-01, New York University, Leonard N. Stern School of Business-.
  17. Nan Zheng & Brajendra C. Sutradhar, 2018. "Inferences in semi-parametric dynamic mixed models for longitudinal count data," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 70(1), pages 215-247, February.
  18. Dimitrakopoulos, Stefanos, 2018. "Accounting for persistence in panel count data models. An application to the number of patents awarded," Economics Letters, Elsevier, vol. 171(C), pages 245-248.
  19. Hayakawa, Kazuhiko, 2019. "Alternative over-identifying restriction test in the GMM estimation of panel data models," Econometrics and Statistics, Elsevier, vol. 10(C), pages 71-95.
  20. Bronwyn Hall & Rosemaire Ham Ziedonis, 2000. "The Patent Paradox Revisited: An Empirical Study of Patenting in the US Semiconductor Industry, 1979-95," Economics Series Working Papers 2000-W16, University of Oxford, Department of Economics.
  21. 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.
  22. Erik Brouwer & Alfred Kleinknecht & Pierre Mohnen & Hans van Ophem, 2001. "R&D and Patents: Which Way Does the Causality Run?," CIRANO Working Papers 2001s-31, CIRANO.
  23. Uchida, Yuichiro & Cook, Paul, 2005. "Innovation and Market Structure in the Manufacturing Sector: An Application of Linear Feedback Models," Centre on Regulation and Competition (CRC) Working papers 30702, University of Manchester, Institute for Development Policy and Management (IDPM).
  24. Koski, Heli, 2000. "Regulators and Competition Spurring or Retarding Innovation in the Telecommunications Sector?," Discussion Papers 724, The Research Institute of the Finnish Economy.
  25. AndreÌ s LoÌ pez & Eugenia Orlicki, 2009. "Who Uses the Patent System in Developing Countries? A Study of Patent Propensities in Argentina, 1992-2001," Microeconomics Working Papers 22785, East Asian Bureau of Economic Research.
  26. Canepa, Alessandra & Drogo, Federico, 2021. "Wildfire crime, apprehension and social vulnerability in Italy," Forest Policy and Economics, Elsevier, vol. 122(C).
  27. repec:hal:journl:peer-00732533 is not listed on IDEAS
  28. 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.
  29. Waters, James, 2011. "The effect of the Sarbanes-Oxley Act on innovation," MPRA Paper 28072, University Library of Munich, Germany.
  30. 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.
  31. 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.
  32. 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.
  33. 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.
  34. 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.
  35. Wang, Chengqi & Piperopoulos, Panagiotis & Chen, Shihua & Ming, Alan Au Kai & Herbert, Kendall, 2022. "Outward FDI and Innovation Performance of Chinese Firms: Why Can Home-Grown Political Ties Be A Liability?," Journal of World Business, Elsevier, vol. 57(3).
  36. 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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