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Analysis of Patent Data--A Mixed-Poisson-Regression-Model Approach

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Author Info
Wang, Peiming
Cockburn, Iain M
Puterman, Martin L

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Abstract

Count-data models are used to analyze the relationship between patents and research and development spending at the firm level, accounting for overdispersion using a finite mixed Poisson regression model with covariates in both Poisson rates and mixing probabilities. Maximum likelihood estimation using the EM and quasi-Newton algorithms is discussed. Monte Carlo studies suggest that (1) penalized likelihood criteria are a reliable basis for model selection and can be used to determine whether continuous or finite support for the mixing distribution is more appropriate and (2) when the mixing distribution is incorrectly specified, parameter estimates remain unbiased but have inflated variances.

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Publisher Info
Article provided by American Statistical Association in its journal Journal of Business and Economic Statistics.

Volume (Year): 16 (1998)
Issue (Month): 1 (January)
Pages: 27-41
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Handle: RePEc:bes:jnlbes:v:16:y:1998:i:1:p:27-41

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  1. Vincenzo Atella & Francesco Brindisi & Partha Deb & Furio C. Rosati, 2003. "Determinants of Access to Physician Services in Italy: A Latent Class Seemingly Unrelated Probit Approach," CEIS Research Paper 36, Tor Vergata University, CEIS. [Downloadable!]
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  2. Fidel Pérez Sebastián & Shiferaw Gurmu, 2007. "Patents, R&D And Lag Effects: Evidence From Flexible Methods For Count Panel Data On Manufacturing Firms," Working Papers. Serie AD 2007-03, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie). [Downloadable!]
  3. William Greene, 2009. "Models for count data with endogenous participation," Empirical Economics, Springer, vol. 36(1), pages 133-173, February. [Downloadable!] (restricted)
  4. 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. [Downloadable!]
  5. William Greene, 2002. "Convenient estimators for the panel probit model: Further results," Working Papers 02-06, New York University, Leonard N. Stern School of Business, Department of Economics. [Downloadable!]
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  6. Eduardo Fé-Rodríguez & Richard Hofler, 2009. "Count Data Stochastic Frontier Models, with an application to the patents-R&D Relationship," The School of Economics Discussion Paper Series 0916, Economics, The University of Manchester. [Downloadable!]
  7. Richards, Timothy & Padilla, Luis, 2001. "Commodity R&D, Patenting, And Promotion," 2001 Annual meeting, August 5-8, Chicago, IL 20497, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association). [Downloadable!]
  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. [Downloadable!] (restricted)
  9. Teresa Bago d'Uva & Andrew M. Jones & Eddy van Doorslaer, 2007. "Measurement of Horizontal Inequity in Health Care Utilisation using European Panel Data," Tinbergen Institute Discussion Papers 07-059/3, Tinbergen Institute. [Downloadable!]
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  10. Partha Deb & Xing Ming & Pravin K. Trivedi, 1998. "Moment-based Estimation of Latent Class Models of Event Counts," University of California at San Diego, Economics Working Paper Series 98-12, Department of Economics, UC San Diego. [Downloadable!]
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  11. Alka Chadha, 2005. "Trips and Patenting Activity: Evidence from the Indian Pharmaceutical Industry," Departmental Working Papers wp0512, National University of Singapore, Department of Economics. [Downloadable!]
  12. Teresa Bago d'Uva, 2005. "Latent class models for use of primary care: evidence from a British panel," Health Economics, John Wiley & Sons, Ltd., vol. 14(9), pages 873-892. [Downloadable!]
  13. Partha Deb & Karen Smith Conway, 2002. "Is Prenatal Care Really Ineffective? Or, is the 'Devil' in the Distribution?," Hunter College Department of Economics Working Papers 02/2, Hunter College: Department of Economics. [Downloadable!]
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  14. Atella Vincenzo & Francesco Brindisi & Partha Deb & Furio C. Rosati, 2002. "Determinants Of Access To Physician Services In Italy: A Latent Class Probit Approach," Departmental Working Papers 158, Tor Vergata University, CEIS. [Downloadable!]
  15. Partha Deb & Ann M. Holmes, 2000. "Estimates of use and costs of behavioural health care: a comparison of standard and finite mixture models," Health Economics, John Wiley & Sons, Ltd., vol. 9(6), pages 475-489.
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