• Media type: E-Book
  • Title: A MPEC Estimator for Misclassification Models
  • Contributor: Lu, Ruichang [Author]; Luo, Yao [Other]; Xiao, Ruli [Other]
  • Published: [S.l.]: SSRN, [2019]
  • Extent: 1 Online-Ressource (11 p)
  • Language: English
  • DOI: 10.2139/ssrn.2352935
  • Identifier:
  • Origination:
  • Footnote: In: Economics Letters, Volume 125, 2014
    Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments July 3, 2014 erstellt
  • Description: In this paper, we propose a constrained maximum likelihood estimator for misclassification models, by formulating the estimation as an MPEC (Mathematical Programming with Equilibrium Constraints) problem. Our approach improves the numerical accuracy and avoids the singularity problem. Monte Carlo simulations confirm that the proposed estimator reduces bias and standard deviation of the estimator, especially when the sample is small/medium and/or the dimension of matrix is large
  • Access State: Open Access