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Simulated maximum likelihood estimation of multivariate mixed-Poisson regression models, with application

Author

Listed:
  • MURAT K. MUNKIN
  • PRAVIN K. TRIVEDI

Abstract

This paper proposes and implements simulated maximum likelihood estimation of bivariate count models with unrestricted correlation pattern of unobserved heterogeneity. The implementation incorporates both antithetic acceleration and adjustment for first-order simulation bias. Both the Monte Carlo simulation evidence and an application to health utilization data confirm that the method is reliable and feasible in data analysis.

Suggested Citation

  • Murat K. Munkin & Pravin K. Trivedi, 1999. "Simulated maximum likelihood estimation of multivariate mixed-Poisson regression models, with application," Econometrics Journal, Royal Economic Society, vol. 2(1), pages 29-48.
  • Handle: RePEc:ect:emjrnl:v:2:y:1999:i:1:p:29-48
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