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Keywords:

  • C34;
  • D12
  • Censoring;
  • Copula;
  • CSFII;
  • Generalized log-Burr distribution;
  • Meat;
  • Quasi-maximum likelihood

Abstract

A copula approach to censored system estimation is proposed. The quasi-maximum likelihood estimator departs from the multivariate normal error distribution predominantly used in existing estimators and resolves the computational difficulty with multiple probability integrals in high-dimensional censored systems. An application to individual meat consumption demonstrates that the procedure produces very different empirical estimates from existing Gaussian full-information and quasi-maximum likelihood estimates.